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westvegh

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: DkwtMCP

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

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