Pelaris
@theDonk
About Pelaris
Connect Pelaris to any MCP-compatible AI assistant for personalised fitness coaching. Plan training programs, log workouts, track benchmarks, manage goals, and get data-driven coaching insights.
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"pelaris": {
"url": "https://api.pelaris.io/mcp"
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Pelaris?
Pelaris is an MCP server that brings AI fitness coaching to any MCP‑compatible AI assistant. It lets users plan training, log workouts, track benchmarks, manage goals, and receive coaching insights through natural conversation.
How to use Pelaris?
Connect any MCP client to https://api.pelaris.io/mcp. For ChatGPT, enter the URL in Settings → Apps → Add. For Claude, add it in Settings → Connectors → Add Custom with Client ID pelaris-claude. Other clients can use OAuth 2.0 with PKCE and Dynamic Client Registration.
Key features of Pelaris
- 21 tools for reading and writing training data
- Read tools: training overview, programs, sessions, benchmarks, body analysis, coaching insights
- Write tools: log workouts, create sessions, manage goals, record injuries, generate plans
- Supports strength, running, swimming, cycling, triathlon, CrossFit, and general fitness
- Implements 28 science‑based training methodologies
- OAuth 2.0 with PKCE and optional Dynamic Client Registration
- Pseudonymous user IDs and PII scrubbing on responses
Use cases of Pelaris
- Log a completed workout and get real‑time feedback through your AI assistant
- Generate a weekly training plan tailored to your equipment, availability, and goals
- View benchmark trends and receive data‑driven coaching insights
- Record an injury with severity and notes to adjust training accordingly
- Perform a daily check‑in for readiness, soreness, and sleep quality
FAQ from Pelaris
What is the server URL for Pelaris?
https://api.pelaris.io/mcp
Which types of authentication does Pelaris support?
OAuth 2.0 with PKCE. Pre‑registered clients exist for ChatGPT and Claude; all other clients can use Dynamic Client Registration.
What sports does Pelaris support?
Strength, running, swimming, cycling, triathlon, CrossFit, and general fitness.
How does Pelaris handle privacy?
User IDs are pseudonymous (Firebase UIDs are never exposed), responses are scrubbed of PII, and users can disconnect at any time. Granular OAuth scopes are used.
How many tools does Pelaris offer and what kinds?
21 tools total: 9 read tools (e.g., get_training_overview, get_benchmarks, get_coach_insight) and 12 write tools (e.g., log_workout, generate_weekly_plan, manage_goals).
More Other MCP servers
FastMCP v2 🚀
jlowin🚀 The fast, Pythonic way to build MCP servers and clients.
IDA Pro MCP
mrexodiaAI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.
Awesome-MCP-ZH
yzflyMCP 资源精选, MCP指南,Claude MCP,MCP Servers, MCP Clients
Unity MCP ✨
justinpbarnettUnity MCP acts as a bridge between AI assistants and your Unity Editor. Give your LLM tools to manage assets, control scenes, edit scripts, and automate tasks within Unity.
XcodeBuildMCP
cameroncookeA Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.
Comments