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garmin-connect-plugin-for-dsh

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Likenttt/garmin-connect-plugin-for-dsh

A DeepSeek Harness plugin that connects to Garmin Connect, exposing fitness and health data as AI-callable tools for personalized insights.

  • deepseek-harness
  • deepseek-harness-plugin
  • dsh-plugin
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Manifest version
0.1.5dsh-plugin-garmin-connect
Latest push
Aug 21, 2026GitHub
License
MITTypeScript
Plugin type
HostRuns in the DSH Host

README

View source

dsh-plugin-garmin-connect

A DeepSeek Harness plugin that brings your Garmin fitness & health data into the AI agent loop.

npm version npm downloads CI Test Report Node.js License: MIT

English | 简体中文 | Test Report | Changelog

[!WARNING] 0.1.5 status: Garmin two-step verification is unfinished and is not a supported release capability. The browser authentication commands documented below are developer previews for local testing only; do not depend on them for production access or session recovery.


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What It Does

This plugin connects DeepSeek Harness to Garmin Connect, exposing your wearable data as AI-callable tools. Once installed, the DeepSeek agent can automatically query your activities, sleep, steps, and heart rate to provide personalized fitness insights — all through natural language.

Registered Tools

The plugin registers 10 tools. Eight return Garmin data without writing; download_garmin_activity_fit writes one local file on the MCP/dsh host, and create_garmin_workout changes the user's Garmin workout library.

ToolDescriptionExample Args
get_garmin_activitiesFetch recent activities (runs, rides, swims…) with compact or full detail{"limit": 5, "detail": "compact"}
get_garmin_sleepSleep score, duration, and stage breakdown for a date or range{"startDate": "2023-10-01", "endDate": "2023-10-02"}
get_garmin_stepsStep totals for a date or range; goal/distance appear only when Garmin supplies them{"startDate": "2023-10-01"}
get_garmin_heart_rateResting, max, and min heart rate for a date or range{"startDate": "2023-10-01", "endDate": "2023-10-02"}
get_garmin_weightBody composition (weight, BMI, body fat %, muscle mass, etc.) for a date or range{"startDate": "2023-10-01"}
get_garmin_workoutsWorkout templates from your Garmin workout library (not calendar scheduling){"limit": 10, "offset": 0}
get_garmin_profileUser profile summary{} or omit
get_running_skill_adviceExplain 8 workout types and 4 training philosophies, or collect the mandatory intake for personalized coaching{"mode": "explain", "query": "Daniels", "language": "en"}
download_garmin_activity_fitDownload an activity's original archive and safely extract its single FIT file to the account directory under the configured host parent{"activityId": 123456789}
create_garmin_workoutPreview a structured workout; create it only after explicit confirmation{"name": "Threshold 3×8min", "steps": [...]}

Workout creation is a two-call flow. The preview response includes a one-time confirmationId; after the user approves the unchanged preview, call the tool again with the same definition, confirmed: true, and that confirmationId. An ID expires after 10 minutes and cannot be reused.

Personalized running coaching

get_running_skill_advice deliberately separates explanation from planning:

  • mode: "explain" explains a workout type or training philosophy. It does not invent an athlete-specific schedule.
  • mode: "personalized" is required for any recommendation or plan. Before it returns planning material, the tool requires answers for all six intake areas below. Missing answers are returned as focused questions; Garmin activity data is not fetched and a schedule must not be generated yet.
Intake fieldWhat the assistant must ask
goalTarget distance/event, future ISO YYYY-MM-DD date, and completion or ideal/minimum time goal
currentPerformance + performanceBasisA representative race/time trial from the past two years, result, non-future date, effort/conditions, or an explicit no_recent_benchmark
trainingBackgroundRunning history and recent 4–8 week volume, frequency, long run, quality work, and interruptions
availabilityAvailable days/time, fixed rest and long-run days, terrain/facility limits, strength-training time, and whether double days are possible
healthConstraints + hasWarningSymptomsCurrent/past-year injury, pain, relevant disease/medication, sleep and recovery, plus an explicit warning-symptom boolean
trainingPreference + preference detailssteady, hard_easy, or mixed, plus maxQualitySessionsPerWeek (0–7) and intensityGuidancePreference (pace, heart_rate, rpe, or mixed)

If hasWarningSymptoms is true—for example current chest discomfort, unusual breathlessness with mild activity, fainting/dizziness, or abnormal palpitations—the tool returns a safety stop without workout material or Garmin activity access. It advises medical clearance and does not diagnose. If performanceBasis is no_recent_benchmark, planning material instructs the assistant to begin with easy base work or a low-risk benchmark instead of inventing precise threshold or interval paces.

The compact philosophy layer contains:

  • Hansons — frequent, more evenly distributed mileage, pace discipline, and cumulative fatigue; its 16-mile long run is not a standalone prescription.
  • Jack Daniels — derive VDOT and E/M/T/I/R intensity from current, recent performance, never from the goal time.
  • Norwegian threshold — borrow controlled, non-exhaustive threshold work and hard/easy separation; double-threshold days are not prescribed by default.
  • Polarized training — keep most work genuinely easy and a small amount clearly hard; 80/20 is a direction rather than an exact quota.

Recent Garmin runs may supplement this intake but never replace the athlete's answers. The method notes and evidence boundaries are summarized in the training-method research note. Each philosophy and workout-card output labels its statements as system_principle, research_evidence, or application_inference so a method definition or coaching inference is not misrepresented as comparative proof.


Quick Start

1. Install this plugin — from the npm registry (recommended)

npx --legacy-peer-deps=false @deepseek-ai/dsh plugin --profile web add dsh-plugin-garmin-connect

This single command installs the dependency and activates the plugin layer — the first run automatically initializes the web profile. You only need pnpm on your PATH:

npm install -g pnpm

--legacy-peer-deps=false makes npm resolve peer dependencies normally. If your npm config has legacy-peer-deps=true (it skips peer packages), dsh would fail to boot with ERR_MODULE_NOT_FOUND: Cannot find package '@deepseek-ai/cordis-plugin-group'. On machines without that setting the flag is a harmless no-op.

Verify the plugin layer is composed without booting:

npx --legacy-peer-deps=false @deepseek-ai/dsh --profile web --dump-config | grep -A 2 garmin-connect

Other install sources:

# Local checkout (development)
cd garmin-connect-plugin-for-dsh && npm install
npx --legacy-peer-deps=false @deepseek-ai/dsh plugin --profile web add .

# GitHub source install
npx --legacy-peer-deps=false @deepseek-ai/dsh plugin --profile web add github:<owner>/<repo>

2. Install the Harness CLI (if you haven't already)

npx --legacy-peer-deps=false @deepseek-ai/dsh web

The web UI starts at http://127.0.0.1:3080 by default. If you launch Harness via npx, keep using the same prefix for the commands below (npx --legacy-peer-deps=false @deepseek-ai/dsh …); if you have dsh installed globally, you can drop the npx @deepseek-ai/ prefix.

3. Configure Credentials

The plugin does not persist credentials itself. Use environment variables (or a secret store provided by your launcher) and keep .env out of version control.

# Source checkout only: copy the bundled template
cp .env.example .env

# Edit .env and fill in your Garmin credentials

For a registry installation, create .env directly in the directory where you run dsh (your workspace root), then add the variables from the table below; the package's template is inside the installed dependency rather than your current directory. The plugin loads the workspace .env automatically.

VariableRequiredDescription
GARMIN_USERNAMEYour Garmin account email
GARMIN_PASSWORD✅*Legacy direct-login password; do not use this for the interactive MFA setup below
GARMIN_SESSION_TOKEN✅*Inline pre-authenticated token (supported, but the session file is safer)
GARMIN_SESSION_TOKEN_FILE✅*Path to the owner-only DI v2 (or compatible legacy OAuth) session file generated by the local auth command
GARMIN_REGIONglobal (default) or cn for Garmin China
GARMIN_FIT_DOWNLOAD_DIRFIT onlyUser-selected host parent directory for FIT exports; no default. The generated account directory includes GARMIN_REGION
GARMIN_CACHE_TTLCache duration in seconds (default: 300)
GARMIN_REQUEST_TIMEOUT_MSGarmin request timeout in milliseconds (default: 15000)
GARMIN_LOG_LEVELdebug | info | warn | error
GARMIN_ACTIVITY_DETAILcompact (default) or full (expanded fitness plus precise route/location fields; credentials and account/social identifiers are filtered)

* You need one of GARMIN_PASSWORD, GARMIN_SESSION_TOKEN, or GARMIN_SESSION_TOKEN_FILE. A protected file is safer than an inline token, especially when isolating multiple processes; this does not make the unfinished MFA bootstrap a supported workflow. If more than one is configured, the inline token takes precedence over the file, and a valid session takes precedence over password login.

⚠️ If your password contains # or other special characters, wrap it in double quotes — otherwise # and everything after it will be treated as a comment:

GARMIN_PASSWORD="my#secret!pass"

GARMIN_SESSION_TOKEN and the contents of GARMIN_SESSION_TOKEN_FILE are as sensitive as a password. Token export is intentionally not AI-callable; never paste a token into an AI conversation.

Two-step verification — unfinished developer preview

The browser setup below is retained for development and diagnosis, but it is not a supported 0.1.5 authentication path. If you choose to test it, run it yourself in a trusted local terminal from this source checkout and select the account's region explicitly:

# Garmin International
npm run auth:setup -- --browser --account personal --region global

# Garmin China
npm run auth:setup -- --browser --account personal --region cn

auth:setup is the source-checkout npm-script alias. The stable executable name for an installed package is garmin-connect-auth, so Codex, Claude Code, and other local clients can all point users to the same bootstrap command:

garmin-connect-auth --help
garmin-connect-auth login --browser --account personal --region global
garmin-connect-auth login --browser --account personal --region cn

Direct invocation requires an installation that places npm executables on PATH, normally a global install; a nested dsh dependency or an ordinary local dependency does not do that. Install the published executable globally, or use the package directly with npx:

npm install -g dsh-plugin-garmin-connect@0.1.5
npx -y --package dsh-plugin-garmin-connect@0.1.5 \
  garmin-connect-auth login --browser --account personal --region global

For a source checkout, npm install -g . or npm run auth:setup -- --browser ... remains available. In every form, the command opens an isolated, visible system Google Chrome context. Enter the email, password, MFA code, and any CAPTCHA only on Garmin's page; the CLI does not read those form values, and none may be supplied through flags, environment variables, MCP tool arguments, or model input.

After the browser closes, the CLI exchanges the short-lived service ticket and probes Garmin's region-bound DI profile endpoint. The local terminal then shows a sanitized Garmin profile label beside the requested account alias and configured username. Type exactly yes only if they identify the intended account. Any other answer cancels the write. A successful confirmation writes an owner-only DI v2 session and prints its path; Codex, Claude Code, the model, and other agents must never read or copy the session contents or credentials.

The legacy terminal flow without --browser remains available for compatibility. It reads hidden password/MFA input in the local terminal, but it cannot reliably complete browser-only challenges such as CAPTCHA and is not a supported two-step-verification solution.

For troubleshooting the same browser/DI path without creating credentials, this checkout also includes a deliberately non-persisting diagnostic:

# Choose the account's region explicitly.
npm run auth:canary -- --region global
npm run auth:canary -- --region cn

The experimental canary opens an isolated, visible system Google Chrome context. Enter email, password, MFA, or CAPTCHA only on Garmin's page. The CLI does not read those form values; it captures one short-lived service ticket, immediately closes the temporary browser, then performs one region-bound DI token exchange and verifies the profile API. It does not save cookies, tokens, screenshots, traces, video, HAR, or a session file. A passing canary provides partial diagnostic evidence only; 0.1.5 does not provide a supported browser-MFA session-creation workflow.

The canary requires system Google Chrome plus the optional playwright-core driver installed by a normal dependency install. If dependencies were installed with --omit=optional, the canary is unavailable; normal login, dsh, and MCP operation remain unaffected.

The unfinished setup command is designed to save only a DI v2 session after browser login and explicit profile confirmation, then print its path. On POSIX it uses owner-only mode 0600; on Windows it uses the current user's config directory but does not yet validate Windows ACLs. It does not save the password or MFA code. Configure the runtime with the printed path, then omit GARMIN_PASSWORD:

GARMIN_USERNAME=your-email@example.com
GARMIN_REGION=global
GARMIN_SESSION_TOKEN_FILE=/absolute/path/to/personal.session.json
GARMIN_FIT_DOWNLOAD_DIR=/absolute/path/to/garmin-fit-parent

DI v2 files bind the normalized username, region, and probed Garmin profile via one-way hashes, including profileIdHash; they do not duplicate the plaintext email in the binding. The runtime rejects username, region, or profile mismatch before publishing refreshed credentials. It refreshes access tokens before expiry, persists a rotated refresh token before using the new session, and may retry an authentication failure at most once for an idempotent GET. Workout and other write requests are never replayed automatically.

For backward compatibility, legacy session files containing only the two oauth1 and oauth2 fields are still accepted. They have no profile binding; the intended replacement is a validated DI v2 session with the mismatch guard, but the unfinished browser command is not yet a supported way to generate one. On POSIX, a legacy file must still pass the current owner-only file-permission check (normally mode 0600).

On POSIX, the default account directory is created with owner-only permissions. To choose a different session file, add --output /absolute/private/path/personal.session.json. On POSIX systems, an existing parent directory must grant no permissions to group or other users (normally mode 0700); a missing parent is created owner-only. The command refuses an unsafe parent instead of weakening it.

This MFA bootstrap uses Garmin's private SSO/DI flow and is unfinished. On 2026-08-21, a real China-region browser login produced a short-lived service ticket and the DI exchange/profile probe was verified separately. The current browser interception can leave the redirected Garmin page at ERR_BLOCKED_BY_CLIENT, and the complete capture → exchange → confirmed session write → dsh/MCP restart/refresh path has not been revalidated end to end. The Global-region browser path is also unverified. These commands remain a developer preview and are not part of the supported 0.1.5 feature set.

Multiple accounts: one isolated process per account

The supported runtime model is one account per process and one independently initialized session per process. Give each dsh, Codex, Claude Code, or other MCP process its own GARMIN_USERNAME, GARMIN_REGION, and GARMIN_SESSION_TOKEN_FILE. The unfinished browser bootstrap cannot yet be relied on to create those sessions for MFA accounts.

Do not copy one session file to another process, and do not let simultaneous processes share one file. Garmin refresh tokens may rotate; concurrent writers can otherwise invalidate or overwrite each other's credentials. For example, use aliases such as personal-dsh, personal-codex, and personal-claude, with an independently initialized session for each one. Do not point another runtime at the same file through a symbolic link or a differently cased path alias.

The processes may share one GARMIN_FIT_DOWNLOAD_DIR parent: the plugin creates a separate account subdirectory from each configured region and email. This also keeps cn and global accounts with the same email from colliding. For example, name the servers garmin-personal and garmin-family and select the intended server in the request.

This is process isolation, not an in-process account selector or a multi-tenant authorization system. Do not expose one shared MCP process to mutually untrusted users; per-user access control has not been implemented. Switching accounts inside one conversation and automatic cross-account sync remain on the roadmap.

FIT downloads

download_garmin_activity_fit accepts only an activity ID; the model cannot choose an arbitrary output path. Garmin's original activity ZIP is downloaded to a private temporary location, size-checked, and required to contain exactly one valid FIT file. Given a configured parent directory <base>, the result is written as <base>/GARMIN_FIT_<cn|global>_<normalized-email>/<activityId>.fit without overwriting an existing file. The cn or global component comes from GARMIN_REGION. Here <normalized-email> is derived safely from the configured email: a normal email address remains recognizable, while path separators, control characters, and other unsafe filename characters are normalized before the account directory is created. The user locates the file from the configured parent plus this rule. The tool returns only activityId, fileName, sizeBytes, and sha256; it does not return the parent, account directory, email, or full path. ZIP/FIT bytes never enter model context.

The parent directory has no default and must be chosen explicitly through GARMIN_FIT_DOWNLOAD_DIR. It is required only when using this tool; if unset, the tool fails before writing any file and all other Garmin tools remain available. Multiple account processes can safely share the same parent because their region-and-normalized-email subdirectories are isolated, including when the same email is used for both Garmin China and Garmin International. Existing GARMIN_FIT_<email> directories are not migrated automatically; new downloads use the region-prefixed directory while old files remain in place.

Garmin's “original” export is not guaranteed to be FIT. If the archive has no single valid FIT entry, the tool fails safely instead of renaming another format.

4. Run

npx --legacy-peer-deps=false @deepseek-ai/dsh web

Open http://127.0.0.1:3080. The plugin is loaded when Settings → Plugins → Plugin list shows plugin-garmin-connect as mounted & enabled. Then try: "How was my sleep last night?" or "Show me my last 5 runs."

5. Integration Test (optional, source checkout only)

The integration script is a development aid and is not included in the npm tarball. From a source checkout with development dependencies installed, you can run it after configuring .env:

npm run test:integration

The script checks read-only APIs and exits non-zero if any check fails. It does not create, update, or delete workouts or other Garmin data.

By default it hides the account identifier and prints only counts/status, not activity or health values. Set GARMIN_INTEGRATION_VERBOSE=true only when you explicitly want normalized details in your local terminal output.

🔌 Garmin Connect Integration Test
   Domain : garmin.com
   User   : configured (identifier hidden)
   Date   : 2026-08-18
   Scope  : read-only (workout creation/update/deletion is not tested)

── 1. Authentication ──
  ✅ Password login successful

── 2. Activities ──
  ✅ Got 3 activities

── 3. Sleep ──
  ✅ Sleep data loaded

── 4. Steps ──
  ✅ Step data loaded

── 5. Heart Rate ──
  ✅ Heart-rate data loaded

── 6. Weight / Body Composition ──
  ✅ Body-composition data loaded

── 7. Workout Library ──
  ✅ Got 5 workout templates

── 8. User Profile ──
  ✅ Profile loaded

🏁 Integration test complete: 8 passed, 0 failed.
   Write operations were intentionally not tested.

Security

Credentials are used locally to authenticate directly with Garmin Connect and are never returned by an AI tool.

Credential Resolution Order

1. Plugin config values (set on the plugin row in a profile patch / `--patch` overlay)
   ↓ fallback
2. Environment variables (.env / shell)
   ↓ fallback
3. Schema defaults

Best Practices

PracticeStatus
Environment-variable and secret-marked configuration are supported
.env is in .gitignore
Account identifier and credentials marked with role('secret') in Cordis schema
Browser MFA bootstrap⚠️ Unfinished developer preview; not supported for 0.1.5
DI v2 sessions bind username, region, and profileIdHash; legacy two-field sessions remain compatible
Independently initialized per-process session files support isolated multi-account setups
Access refresh is preemptive; idempotent GET replay is limited to once and writes are never replayed
Tool outputs never include raw credentials
FIT bytes and local/account paths stay on the host; the model receives only activity/file name/size/hash
In-memory cache reduces API calls (rate-limit protection)

Session Tokens

Session-token authentication remains supported, but tokens are credentials and must not appear in agent output or trajectory logs. For that reason this plugin does not expose authentication, MFA submission, or token export as AI-callable tools. If you already have a validated owner-only DI v2 or compatible legacy session file, dsh/MCP can read it through GARMIN_SESSION_TOKEN_FILE; the runtime does not need the account password. The DI file binds normalized username and region as well as profileIdHash; legacy unbound oauth1/oauth2 files remain readable for compatibility. Creating a new MFA session with the browser commands above is still unfinished. Because Garmin refresh tokens may rotate, never concurrently share or copy one session file across dsh, Codex, Claude Code, or other processes.


Use with Other AI Coding Agents (MCP)

This plugin also ships as a standalone MCP (Model Context Protocol) server, so you can use the same Garmin tools with OpenAI Codex, Claude Code, Claude Desktop, Cursor, Windsurf, WorkBuddy, ZCode, and any other MCP-compatible client — no DeepSeek Harness required.

Current availability: the standalone MCP entry point is included in npm 0.1.5 and later. A local checkout remains useful for development.

Build the local server first:

git clone https://github.com/Likenttt/garmin-connect-plugin-for-dsh.git
cd garmin-connect-plugin-for-dsh
npm install
npm run build

Replace /absolute/path/to/garmin-connect-plugin-for-dsh in the examples with the checkout's actual absolute path.

The following examples show how to wire an already validated session file into an MCP client. They do not make the unfinished browser MFA bootstrap a supported 0.1.5 workflow. Make the non-secret account/region plus the session-file path and FIT parent directory available to the client process, then replace these placeholders with absolute paths on your machine:

export GARMIN_USERNAME='your@email.com'
export GARMIN_REGION='global'
export GARMIN_SESSION_TOKEN_FILE='/absolute/path/to/personal.session.json'
export GARMIN_FIT_DOWNLOAD_DIR='/absolute/path/to/garmin-fit-parent'

Do not put a password or MFA code in these variables. The MCP server never prompts for MFA; it can only start from an existing valid session. Protect both the session file and the FIT directory because downloaded activities may contain precise location and health data. Each simultaneously running client process needs a separately initialized session file; do not copy or concurrently share one file across Codex, Claude Code, dsh, or another client.

OpenAI Codex (app, CLI, and IDE extension)

Codex clients on the same host share ~/.codex/config.toml. The recommended setup forwards credential variable names from the environment instead of copying their values into TOML. With the variables above available to the Codex process, add this entry to ~/.codex/config.toml:

[mcp_servers.garmin-connect]
command = "node"
args = ["/absolute/path/to/garmin-connect-plugin-for-dsh/lib/mcp.js"]
env_vars = ["GARMIN_USERNAME", "GARMIN_REGION", "GARMIN_SESSION_TOKEN_FILE", "GARMIN_FIT_DOWNLOAD_DIR"]

# Read tools can run normally; Codex asks before local-file and Garmin writes.
default_tools_approval_mode = "writes"

This entry consumes a DI v2 session assigned only to this Codex process; Codex never receives or prompts for the password/MFA code. Do not reuse a session already assigned to dsh, Claude Code, or another running process. For a second account, add another server table such as [mcp_servers.garmin-family] and provide a distinct independently initialized session file. It may reuse the same FIT parent directory; output is automatically isolated under that account's region-and-normalized-email subdirectory.

The Codex process must inherit the exported variables. If the desktop app was launched outside that shell, add the server through Settings → MCP servers and provide its environment there, or launch it through your usual secret-aware environment. Values entered in Settings are local credentials; protect the resulting configuration file.

For a trusted-project-only setup, put the same table in .codex/config.toml inside that project. Restart the Codex client after editing the file, then inspect the saved configuration:

codex mcp list
codex mcp get garmin-connect

Inside Codex CLI, use /mcp to verify that the server is active and inspect its tools. The official Codex MCP documentation also covers the Settings UI and codex mcp add command.

Claude Code

Garmin is normally a personal server, so user scope is a good default. The following bash/zsh example keeps the session contents out of ~/.claude.json; only the owner-only file path is configured:

claude mcp add-json --scope user garmin-connect \
  '{"type":"stdio","command":"node","args":["/absolute/path/to/garmin-connect-plugin-for-dsh/lib/mcp.js"],"env":{"GARMIN_USERNAME":"${GARMIN_USERNAME}","GARMIN_REGION":"${GARMIN_REGION:-global}","GARMIN_SESSION_TOKEN_FILE":"${GARMIN_SESSION_TOKEN_FILE}","GARMIN_FIT_DOWNLOAD_DIR":"${GARMIN_FIT_DOWNLOAD_DIR}"}}'

This server reads a DI v2 session assigned specifically to this Claude Code process; Claude Code never receives or prompts for the password/MFA code. Register a differently named server and provide a distinct independently initialized session file for each additional process or account. Do not copy another process's session. The servers may reuse the same FIT parent directory.

Use --scope local instead if the server should be available only in the current project. Keep the path variables available whenever you launch Claude Code, then verify the connection:

claude mcp get garmin-connect
claude mcp list

Inside Claude Code, /mcp shows connection status and the exposed tools. See the official Claude Code MCP documentation for scope and .mcp.json details. Do not commit personal Garmin credentials in a project-scoped configuration.

Using the tools in Codex or Claude Code

Once garmin-connect reports as connected, ask naturally; the client selects the MCP tool. If tool selection is ambiguous, explicitly say “use the garmin-connect MCP server.” For example:

  • “Use garmin-connect to show my last five runs.”
  • “Compare my sleep and resting heart rate over the last seven days.”
  • “Download the FIT file for activity 123456789 under my configured Garmin FIT parent.”
  • “Preview a threshold workout, show me the steps, and do not create it until I approve.”

Workout creation still follows the enforced two-call confirmation flow: the first call only previews, and creation requires your approval plus the returned one-time confirmationId.

Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "garmin-connect": {
      "command": "node",
      "args": ["/absolute/path/to/garmin-connect-plugin-for-dsh/lib/mcp.js"],
      "env": {
        "GARMIN_USERNAME": "your@email.com",
        "GARMIN_REGION": "global",
        "GARMIN_SESSION_TOKEN_FILE": "/absolute/path/to/personal.session.json",
        "GARMIN_FIT_DOWNLOAD_DIR": "/absolute/path/to/garmin-fit-parent"
      }
    }
  }
}

Restart Claude Desktop. You'll see a 🔌 icon indicating the tools are loaded. Try: "Show my last 5 runs" or "Preview a threshold workout".

Cursor

Add the same mcpServers.garmin-connect object shown above to the workspace's .cursor/mcp.json, using the absolute lib/mcp.js path.

Windsurf

Open Windsurf Settings → Cascade → MCP Servers, or edit ~/.codeium/windsurf/mcp_config.json, and add the same mcpServers.garmin-connect object shown above.

WorkBuddy

WorkBuddy Desktop supports local MCP servers at user and project scope. For personal Garmin data, prefer the user-level ~/.workbuddy/mcp.json. Open Plugins → MCP Servers → Configure MCP, or edit that file directly, and add:

{
  "mcpServers": {
    "garmin-connect": {
      "command": "/absolute/path/to/node",
      "args": ["/absolute/path/to/garmin-connect-plugin-for-dsh/lib/mcp.js"],
      "env": {
        "GARMIN_USERNAME": "your@email.com",
        "GARMIN_REGION": "global",
        "GARMIN_SESSION_TOKEN_FILE": "/absolute/path/to/personal.session.json",
        "GARMIN_FIT_DOWNLOAD_DIR": "/absolute/path/to/garmin-fit-parent"
      }
    }
  }
}

Use command -v node on macOS/Linux or where node on Windows to find the absolute Node.js executable; GUI applications may not inherit an nvm shell path. In JSON on Windows, use forward slashes such as C:/.../node.exe, or escape each backslash as \\. Leave out type in WorkBuddy's local-command format. Save the file and confirm that the server status turns green, then start with a read-only request. See the official WorkBuddy MCP guide.

The session file in this entry must be an independently initialized, validated file; WorkBuddy never receives the password/MFA code. Add another named mcpServers entry with a separate session file per account. Entries may share the same FIT parent directory because region-and-email account subdirectories are automatic.

ZCode

Open Settings → MCP Servers → New MCP Server, choose User scope and stdio, then enter the same absolute Node.js command, lib/mcp.js argument, and Garmin environment variables. Alternatively, edit the native user config at ~/.zcode/cli/config.json:

{
  "mcp": {
    "servers": {
      "garmin-connect": {
        "command": "/absolute/path/to/node",
        "args": ["/absolute/path/to/garmin-connect-plugin-for-dsh/lib/mcp.js"],
        "env": {
          "GARMIN_USERNAME": "your@email.com",
          "GARMIN_REGION": "global",
          "GARMIN_SESSION_TOKEN_FILE": "/absolute/path/to/personal.session.json",
          "GARMIN_FIT_DOWNLOAD_DIR": "/absolute/path/to/garmin-fit-parent"
        }
      }
    }
  }
}

ZCode can also import an existing Codex or Claude Code MCP entry. Its generic ~/.agents/mcp.json support uses the mcpServers shape, but if the same scope's .zcode config contains any MCP server, ZCode skips that .agents file rather than merging it. See the official ZCode MCP guide.

The session file in this entry must be an independently initialized, validated file; ZCode never receives the password/MFA code. Add another named server with a separate session file per account. Servers may share the same FIT parent directory because region-and-email account subdirectories are automatic.

These configurations have been checked against both clients' published schemas; an end-to-end WorkBuddy/ZCode smoke test with a real Garmin account has not yet been recorded.

The Claude Desktop, Cursor, Windsurf, WorkBuddy, and ZCode JSON examples store the sensitive session-file path in their client configuration, but not the session contents, password, or MFA code. Restrict those files' permissions and never commit them. The Codex and Claude Code examples forward path variables instead. MCP results can place sleep, heart-rate, weight, activity, and location data in the selected model's context; review that client's data controls and keep activity detail at compact unless precise expanded data is necessary. FIT bytes and the complete local/account path remain on the MCP host. Only the activity ID, file name, size, and hash enter model context; locate the file using your configured parent and the documented account-directory rule.

With npm 0.1.5 or later, the local node …/lib/mcp.js command can be replaced with:

npx -y --package dsh-plugin-garmin-connect garmin-connect-mcp

Manual Run

# Run the MCP server (stdin/stdout) with an existing validated session file
GARMIN_USERNAME=xxx \
GARMIN_SESSION_TOKEN_FILE=/absolute/path/to/personal.session.json \
GARMIN_FIT_DOWNLOAD_DIR=/absolute/path/to/garmin-fit-parent \
node lib/mcp.js

The MCP server exposes the same 10 tools and argument semantics as the dsh plugin: activities, sleep, steps, heart rate, weight, workout-library templates, profile, running skills, local FIT download, and workout preview/creation. Authentication, MFA submission, and session-token export are intentionally unavailable through either AI interface.


Architecture

┌─────────────────────────────────────────┐
│         DeepSeek Harness (dsh)          │
│                                         │
│  ┌───────────────────────────────────┐  │
│  │     dsh-plugin-garmin-connect     │  │
│  │                                   │  │
│  │  ┌─────────┐    ┌─────────────┐  │  │
│  │  │  Config  │───▶│ GarminClient│  │  │
│  │  │ (Schema) │    │  (cached)   │  │  │
│  │  └─────────┘    └──────┬──────┘  │  │
│  │                        │         │  │
│  │  ┌─────────────────────▼───────┐ │  │
│  │  │      Tool Registry (10)     │ │  │
│  │  │  • get_garmin_activities    │ │  │
│  │  │  • get_garmin_sleep         │ │  │
│  │  │  • get_garmin_steps         │ │  │
│  │  │  • get_garmin_heart_rate    │ │  │
│  │  │  • get_garmin_weight        │ │  │
│  │  │  • get_garmin_workouts      │ │  │
│  │  │  • get_garmin_profile       │ │  │
│  │  │  • get_running_skill_advice │ │  │
│  │  │  • download activity FIT    │ │  │
│  │  │  • create_garmin_workout    │ │  │
│  │  └─────────────────────────────┘ │  │
│  └───────────────────────────────────┘  │
│               Cordis Runtime            │
└────────────────┬────────────────────────┘
                 │
      ┌──────────┴──────────┐
      ▼                     ▼
connect.garmin.com    MCP Server (stdio)
connect.garmin.cn     → Claude Desktop / Claude Code /
                        Codex / Cursor / Windsurf /
                        WorkBuddy / ZCode

Development

# Clone & install
git clone https://github.com/Likenttt/garmin-connect-plugin-for-dsh.git
cd garmin-connect-plugin-for-dsh
npm install

# Build
npm run build

# Watch mode
npm run dev

# Run tests
npm test

Project Structure

src/
├── index.ts          # Plugin entry point (Cordis apply function)
├── config.ts         # Configuration schema with env-var resolution
├── client.ts         # Garmin API wrapper with caching
├── auth.ts           # Private-SSO authentication flow with local MFA callback
├── auth-cli.ts       # Trusted local CLI for browser DI or legacy authentication
├── browser-auth-canary.ts # Isolated Chrome DI setup/canary core
├── di-session.ts     # DI runtime validation, refresh, and safe GET replay
├── session-store.ts  # Strict session-file loading and atomic private writes
├── fit-export.ts     # Bounded, non-overwriting FIT extraction from original ZIP
├── tool-service.ts   # Shared tool behavior for dsh and MCP
├── mcp.ts            # Standalone MCP adapter for Codex/Claude Code/other clients
├── knowledge/
│   ├── running-skills.ts  # 8 workout types + 4 compact training philosophies
│   └── workout-schema.ts  # Workout definition → Garmin JSON builder
├── tools/
│   └── index.ts      # Tool definitions & registration (10 tools)
└── utils/
    ├── errors.ts      # Safe public errors and upstream-log redaction
    ├── cache.ts       # In-memory TTL/LRU cache with single-flight refresh
    ├── date.ts        # Local calendar-date parsing
    ├── path.ts        # FIT parent-directory expansion and resolution
    └── format.ts      # Raw-data → LLM-friendly formatters

Publishing & Distribution

The package is a standard dsh bundle: package.json declares dsh.bundle.patchcordis.patch.yml, and files ships the compiled lib/, .env.example, both READMEs, and the patch file.

npm run build   # prepublishOnly also runs this automatically
npm publish

After publishing, users install with a single command:

npx --legacy-peer-deps=false @deepseek-ai/dsh plugin --profile web add dsh-plugin-garmin-connect

Distribution notes:

  • npm registry (recommended) — the tarball ships prebuilt lib/, so no build permission is needed at install time.
  • Local checkoutnpx --legacy-peer-deps=false @deepseek-ai/dsh plugin --profile web add . links the source directory; run npm install first.
  • GitHub installsnpx --legacy-peer-deps=false @deepseek-ai/dsh plugin --profile web add github:<owner>/<repo> fetches sources and runs the package's prepare script with the locally installed TypeScript compiler; pnpm ≥ 10 refuses to run the script until you allow it — dsh prints the exact allowBuilds key for the profile's pnpm-workspace.yaml.
  • Add the dsh-plugin topic to your GitHub repository for discoverability.

Roadmap

  • Body Composition — weight, BMI, body fat %
  • Workout Library — list reusable Garmin workout templates
  • Workout Creation — safely preview and create structured workout-library entries
  • MCP Server — use with Codex, Claude Code/Desktop, Cursor, Windsurf, WorkBuddy, ZCode
  • Running Coach — 8 workout types, 4 training philosophies, and mandatory personalized intake
  • Browser MFA Bootstrap — finish redirect-ticket capture without a blocked completion page, then verify confirmed DI v2 persistence, dsh/MCP restart, refresh, and both CN/Global flows end to end
  • Process-isolated Accounts — one independently initialized session file per dsh/MCP process; concurrent file sharing is unsupported
  • FIT Download — safely extract one FIT from the original archive into an automatic region-and-normalized-email subdirectory under a user-selected parent
  • Training Status — VO2 Max, training load, recovery time
  • Single-process Account Registry — run an isolated client, cache, limiter, and bound session for every configured account alias
    • list_garmin_accounts — list aliases, regions, and connection status without exposing email addresses, tokens, or session paths
    • Add an optional account argument to account-sensitive tools; require an explicit alias when no safe selection exists
    • use_garmin_account — select an account for one conversation when dsh exposes a trusted conversation identity
    • Fall back to passing the selected alias on every tool call; never use a process-global active account
    • Add per-user account allowlists before describing the feature as multi-tenant isolation
  • Multi-account Activity Sync — copy activities in one explicit direction between CN and Global accounts
    • Preview the source, target, date range, candidates, duplicates, and privacy impact before any upload
    • Bind a short-lived, one-time confirmation to the exact account pair and immutable activity manifest
    • Stage and validate FIT privately, then upload once to the explicitly selected target; never delete the source
    • Persist a sync ledger for exact deduplication, restart recovery, and unknown upload outcomes; never blindly retry a timed-out POST
    • Add bounded batch jobs with status, pause, and resume
    • Add opt-in polling schedules for one-way automatic sync while dsh is running, with catch-up after restart
    • Keep bidirectional sync, automatic deletion, and full Garmin metadata mirroring out of the first release
  • Webhook / Push — real-time activity upload notifications
  • OAuth 2.0 — migrate to official Garmin API when available for personal use

License

MIT


Acknowledgements

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