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tally-workout-mcp

by westvegh
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Tally Workout — MCP Server

Remote Model Context Protocol server for Tally, the strength-training app Claude can write to. Plan your training in conversation — it lands in the app, ready to log.

This repo is the public documentation anchor for the server. The server itself is first-party, closed-source, and runs as part of the Tally backend.

Endpoint

https://mcp.tallyworkout.app/api/mcp

  • Transport: Streamable HTTP

  • Auth: OAuth 2.1 — PKCE + dynamic client registration. One-click from claude.ai custom connectors (free tier includes one custom connector slot).

  • Pricing: Free. Bring your own Claude account.

Related MCP server: Wellness Project MCP

Setup (~2 minutes)

  1. Get the free iOS app: Tally on the App Store

  2. Follow the guide at tallyworkout.app/connect — paste the endpoint URL into claude.ai → Settings → Connectors → Add custom connector, then sign in with your Tally account.

Claude Code:

claude mcp add --transport http tally https://mcp.tallyworkout.app/api/mcp

Tools

Tool

What it does

get_training_context

Snapshot of recent training: volume, frequency, exercises, adherence

get_workout_history

Full workout history — sets, reps, weights, planned vs. actually performed

get_planned_workout

Read a planned day (for read-modify-write edits)

plan_workout_day

Write a planned workout for a single day into the app

plan_workout_range

Write a whole week (or any range) of planned workouts

search_exercises

Search Tally's exercise library

Design notes

  • Human edits win. Writes use compare-and-swap semantics; anything you changed or logged on the gym floor is treated as truth and never overwritten by the model.

  • Planned vs. actual is first-class. History payloads show what was planned and what you actually did, so programming advice is grounded in adherence, not aspirations.

  • Per-user isolation. OAuth-scoped tokens with row-level security; revocable anytime from Claude's connector settings.

Links

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityStale
ResponsivenessNo issues

Resources

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