What is the Pelaris remote MCP server?
The Pelaris remote MCP server is a hosted Model Context Protocol endpoint at https://api.pelaris.io/mcp, so AI assistants can connect to it without installing or running anything locally.
@Bradley Hunt
Basic information
Connect your Pelaris training program to your AI assistant. See today's session, log workouts, check progress and benchmarks, record injuries and adjust your plan, with every change confirmed first.
https://api.pelaris.io/mcpclaude mcp add pelaris --transport http https://api.pelaris.io/mcpTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
This server requires authentication. Tool discovery may require signing in or credentials from the provider.
Fetch the live tool list directly from this server's endpoint using the button above.
Pelaris is an AI fitness coach that builds a periodised program around your sport and your goal. This connector brings that program into your AI assistant.
Ask what's on today, log a run or a lifting session, check how your squat or 5 km time is trending, record a niggle so the week adapts, or cut tonight's session to 30 minutes. Pelaris knows your season, your match days and your goal, whether that's a first marathon after footy, a triathlon or a heavier deadlift, so the answers are about your training, not generic advice.
Read tools cover your training overview, active program, session details, weekly debrief, coach insights, benchmarks, goals and body analysis. Write tools log workouts, plan and adjust sessions, swap exercises, record benchmarks and injuries, and update preferences. Anything that deletes or archives asks first, every time.
New to Pelaris? The connector gets you started from the chat: answer a few intake questions and Pelaris builds your program.
Remote server, OAuth sign-in, no install. Works in ChatGPT, Claude, Grok and Le Chat. Workout tracking is free; deeper coaching uses a Pelaris plan. Coaching, not medical advice.
https://api.pelaris.io/mcphttps://api.pelaris.io/mcpclaude mcp add --transport http pelaris https://api.pelaris.io/mcp{ "mcpServers": { "pelaris": { "url": "https://api.pelaris.io/mcp" } } }The Pelaris remote MCP server is a hosted Model Context Protocol endpoint at https://api.pelaris.io/mcp, so AI assistants can connect to it without installing or running anything locally.
Add the endpoint https://api.pelaris.io/mcp to any MCP-compatible client such as Claude Code, Cursor, or VS Code. The setup snippets on this page configure each client in one step.
Yes. Pelaris uses OAuth: the first time you connect, your MCP client opens a browser window to sign in and authorize access, then reuses the credentials for future sessions.
Pelaris exposes a stdio endpoint, the transport used by remote MCP servers and supported by all major MCP clients.
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