Povver MCP Server

Connect AI Assistants to Your Training Data

Povver's MCP server lets AI assistants read your training history, analyze progress, and answer questions about your workouts. Works with Claude Desktop and any MCP-compatible client.

Compatible clients

What you can do

Example prompts

Once connected, you ask in plain language — the assistant calls the right tools, chains them, and reasons over the results. 44 ways to put it to work, across the whole coaching loop:

Use it as a coach (it chains tools for you)

Track strength & spot plateaus

Understand volume & muscle balance

Manage fatigue, recovery & deloads

Plan your next session

Build & adjust programs

Act on Povver’s recommendations

Work around injuries & constraints

Weekly & monthly reviews

Export & custom analysis

Explore the exercise library

Requirements

The MCP server requires an active Povver Premium subscription, and you sign in with the same account you use in the iOS app. Requests from non-premium accounts are rejected.

Available tools

16 tools, grouped by what they do. Read tools are safe to call freely; write tools change your data.

Read (safe to call freely)

get_contextStart here. Who you are and where your training stands: a snapshot (profile, active routine, next workout, last 10 sessions, strength records), your coaching profile (goal, experience, days per week, equipment, units), or a connection check.
read_plansYour routines and workout templates: the full prescription (sets, reps, weight, RIR, coaching notes, supersets), plus Povver's evidence-based starter programmes.
read_workoutsYour finished workouts: recent summaries with volume, or one session with set-level data and your own notes.
analyze_trainingPovver's analysis, by question: the Strength Climb (are you getting stronger?), weekly insights, muscle-group volume and fatigue, one lift's progress and bests, raw set queries, the lifts you train, adherence, and pending recommendations.
exercisesSearch the exercise catalog in plain language, or read one exercise's muscles, equipment and execution notes.
read_memoryWhat you asked Povver to remember (injuries, preferences, goals), and which progressions an injury held back.
read_periodizationYour periodization plan, or a preview of a plan before it is saved.
read_live_workoutThe workout in progress right now: every exercise and set, the next set, and the version to send with a change.
whats_newWhat Povver has shipped and what is planned, the same text as povver.ai/updates: the newest App Store versions with their release notes, and the roadmap.

Write (change your data)

save_planCreate or edit routines and templates, or set the active routine. Returns the saved routine or template.
log_workoutRecord finished workouts (a session you just did, or history imported from another app; safe to retry) or correct one.
live_workoutStart a workout, then act on it: log sets, swap or add an exercise, change a planned set, pair a superset, finish the session. Several actions in one call (start runs alone).
manage_periodizationAuthor a periodization policy that steers your routine, or pause and resume it.
manage_memoryReport an injury, update its status, or accept or reject a recommendation.
deletePermanently delete a workout, routine or template.
submit_feedbackSend a bug report, feature request or feedback to the Povver team, to the same inbox as the app's Contact form. Your assistant should show you the text before it sends.

Guidance and reference (MCP resources)

povver://guide/toolsHow to use the tools well: importing history, correcting workouts, editing templates, live sessions, reading volume.
povver://guide/periodizationPeriodization plans: the policy shape, deloads and progression.
povver://rules/{rule_id}The evidence behind one of Povver's training rules, from the same cards the in-app coach answers with; an unknown id lists every topic.

Setup

Claude Desktop & Claude.ai (OAuth — recommended)

  1. In Claude, open Settings → Connectors → Add custom connector.
  2. Enter the server URL: https://mcp.povver.ai/mcp
  3. A Povver sign-in page opens. Sign in with the same Apple, Google, or email account you use in the app.
  4. Approve access. Tokens are handled automatically (OAuth 2.1 with PKCE); nothing to copy or paste.

API key (scripts & other clients)

  1. In the Povver iOS app, open Profile → Integrations → Advanced → Developer access and generate an API key (it starts with pvk_ and is shown only once).
  2. Configure your client to send it as a bearer token: Authorization: Bearer pvk_…
  3. Point the client at https://mcp.povver.ai/mcp

Server endpoints

New to Povver?

Povver is an AI strength coach for iOS — log your lifts, get post-workout analysis across 10 muscle groups, and auto-progressions that tell you exactly what to lift next. The MCP server connects that data to your AI assistant.

Get Povver on the App Store