Povver — Strength Training MCP server

Povver MCP Server

Connect your AI assistant to your Povver strength-training data — Claude, Claude Code, Cursor, or any MCP-compatible client. Read workout history, track strength progress, analyze muscle-group volume, and manage routines and templates from a conversation.

Endpoint: https://mcp.povver.ai/mcp (Streamable HTTP, OAuth 2.1) Docs: · /llms.txt · /llms-full.txt Requires: a Povver account with a premium subscription (iOS app)

This is a hosted, remote server — there is nothing to install. Sign in with your Povver account when your client prompts you.

Listed on: Official MCP Registry (ai.povver/mcp-server) · Glama · Smithery

Connect

Claude (Desktop / web)

Settings → Connectors → Add custom connector → URL https://mcp.povver.ai/mcp. Claude opens a browser window to sign in with your Povver account.

Claude Code

claude mcp add --transport http povver https://mcp.povver.ai/mcp

Cursor / other clients

{
  "mcpServers": {
    "povver": {
      "url": "https://mcp.povver.ai/mcp"
    }
  }
}

API key (automation, scripts, n8n)

In the Povver app: More → Integrations → Developer access → create a key, then send it as a Bearer token:

curl -H "Authorization: Bearer pvk_your_key_here" \
     -H "Content-Type: application/json" \
     -H "Accept: application/json, text/event-stream" \
     -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}' \
     https://mcp.povver.ai/mcp

Example prompts

• "Act as my strength coach: review my recent training, find my biggest weakness, and update my program to fix it."
• "How's my bench press trending over the last 8 weeks — am I still progressing or have I plateaued?"
• "Break down my weekly training volume by muscle group. Where am I under-training?"
• "What should I train today?"

Available tools

Every tool carries a display title and readOnlyHint / destructiveHint annotations; a client can tell reads from writes and from deletes.

<!-- tools:begin -->

<!-- GENERATED from src/docs.ts by npm run readme:tools — do not edit by hand. -->

Read

Shortened. The full README is on GitHub.