Server Details
Pace is a remote MCP server that exposes wearable and fitness data to Claude via the Model Context Protocol. It connects to Garmin, Oura, Whoop, Polar, Fitbit and 20+ devices and provides 15 tools for querying sleep, activity, recovery, and training data. Hosted on Google Cloud Run, OAuth 2.1 authentication, Streamable HTTP transport.
Instructions: First you need to create an account at: https://pacetraining.co and connect your wearables. After that you can connect the remote Server via Custom Connector in Claude and OAuth 2.1 Flow startet.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 3.9/5 across 19 of 19 tools scored. Lowest: 1/5.
Most tools have distinct purposes, but get_activity_data and get_workout_list overlap significantly, and get_daily_summary and get_recovery_status both include HRV/resting HR. Two mutation tools lack descriptions, making them ambiguous.
The 'get_' prefix is consistent for retrieval, but mutation tools use different verbs (delete, plan, update) and inconsistent noun forms (planned_workout vs workout). Older tools like get_workout_list, get_workout_detail, get_workout_samples follow a uniform pattern.
19 tools is slightly high but justifiable for a comprehensive fitness data server covering activities, sleep, nutrition, body, recovery, trends, and workout details. Some tools could potentially be merged, but overall the count is reasonable.
The tool surface covers most common health/fitness data types, but two tools (plan_workout, update_planned_workout) have no descriptions, creating dead ends. Missing direct getters for some metrics (e.g., steps alone) but covered through summaries.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
Discussions
Hi Anton here, I am a former professional Athlete and build this mainly for myself. I would appreciate your thoughts about this project. I personally use it everyday, especially the new "visualization" tool in Claude makes this 10x more powerful.