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

Claude Desktop — add it as a custom connector (OAuth).
Claude.ai — via the connector directory.
Any MCP-compatible application — using OAuth or an API key.

What you can do

Pull your workout history into a conversation.
See your Strength Climb — how much your lifts are climbing and which are leading.
Ask about progress on specific exercises ("am I getting stronger on bench press?").
Analyze your training volume by muscle group.
Give an AI assistant context about your training when you ask for advice.
Build custom analysis or exports on top of your own data.

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)

Act as my strength coach: review my recent training, find my biggest weakness, and update my program to fix it.
Every Sunday, review my week and adjust next week’s plan.
Audit my whole program against my goals and flag anything that’s off.

Track strength & spot plateaus

How’s my bench press trending over the last 8 weeks — am I still progressing or have I plateaued?
Which of my main lifts are stalling, and which are still moving?
What are my current estimated 1RMs across all my lifts?
Did I set any personal records this month?
Compare my squat and deadlift progress over the last 12 weeks.

Understand volume & muscle balance

Break down my weekly training volume by muscle group.
Which muscle groups am I under-training, and where am I doing junk volume?
Is my chest-to-back volume balanced? What about quads vs hamstrings?
Show my chest effective volume and hard sets over the last 8 weeks.
Am I doing enough direct arm work?

Manage fatigue, recovery & deloads

Am I overreaching anywhere? Check my acute-to-chronic workload.
Do I need a deload this week, and for which muscle groups?
Which muscles are carrying the most fatigue right now?
Has my effort (RIR) been creeping up — am I grinding sets?

Plan your next session

What should I train today?
Give me today’s workout with target weights, sets, and reps.
I’ve only got 45 minutes and dumbbells today — adapt my session.
What weight should I use on bench next session?

Build & adjust programs

Build me a 4-day upper/lower routine with the equipment I have.
My rear delts are lagging — add targeted volume to my current split.
Swap barbell back squat for a knee-friendly alternative across all my templates.
Turn my current routine into a 5-day push/pull/legs.
Design a 6-week arm specialization block.

Act on Povver’s recommendations

What is Povver recommending for me right now, and why?
Walk me through the rationale before I apply any progression changes.
Accept the recommendations you agree with and tell me which you skipped.

Work around injuries & constraints

My left shoulder hurts on overhead pressing — log it and stop progressing those lifts.
Why didn’t my bench press get a progression last week?
My knee feels better now — mark that injury resolved.
Rebuild this week’s leg day to avoid loaded knee flexion.

Weekly & monthly reviews

Review my training week: volume, adherence, fatigue, and what to change.
How consistent have I been over the last 3 months — sessions vs my goal?
Summarize how my training has progressed since I started.
When did I last train each muscle group?

Export & custom analysis

Export every squat set I’ve logged this year as a table.
What’s my total training volume (tonnage) this month?
Pull all my chest sets above 80% of my estimated 1RM.
Build a CSV of my top set per workout for deadlift.

Explore the exercise library

Find cable exercises for rear delts.
What are good hamstring exercises I can do with just dumbbells?
List alternatives to barbell bench press for a tweaked shoulder.

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

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

Read

check_connectionVerify the connection and return basic account info (name, subscription, whether you have an active routine and logged workouts).

get_user_profileThe user's coaching profile: goal, experience level, target training days/week, equipment preference, height, weight (with units), timezone, member-since — to tailor advice to their background and constraints.

get_training_snapshotCompact overview of your training setup: profile, active routine, next workout, last 10 sessions, and strength records.

list_routinesList all your routines with IDs, template IDs, frequency, and which one is active.

get_routineGet one routine with its template names and exercise summaries.

list_templatesList all your workout templates (names and IDs).

get_templateGet one template with its full exercise list and set prescriptions (reps, weight, RIR).

list_workoutsList recent workouts as summaries with aggregate analytics (volume, sets, reps).

get_workoutGet one workout with full set-level data (weight, reps, RIR, set type) and computed metrics.

search_exercisesSearch the exercise catalog by name or keyword; returns name, ID, muscle groups, and equipment.

get_strength_climbYour Strength Climb — the headline strength-progress signal at the top of the Intelligence tab: median % gain across qualifying lifts, per-state counts (climbing/holding/stalling/deloading/building), the leading lift, the climb line, and per-lift constituents. The PRIMARY strength signal — prefer it over the deprecated training score.

get_training_insightsAI-generated insights and your latest weekly review: observations, guardrail alerts, fatigue, balance, trends, the strength_climb, training_context (volume completion, adherence, fatigue), and per-muscle muscle_volume (hard sets + zone). Also carries the deprecated training score (0-10) for now — prefer strength_climb + training_context.

get_muscle_stateA muscle group's synthesized assessment: weekly hard sets, effective volume with volume zone + MEV/MAV/MRV targets, fatigue (ACWR), plateau status, e1RM trends, periodization phase, per-muscle strength_climb, and reasoning.

get_muscle_group_progressRaw weekly progress series for a muscle group (volume, set counts, e1RM) for charting and analysis.

get_exercise_progressUp to 8 weeks of progress for a specific lift: weekly e1RM trend, personal records, plateau detection, last session, the authoritative strength_state (progressing/holding/stalling) matching the iOS lift detail page, and strength_climb (indexed_pct + now-vs-baseline e1RM).

query_setsQuery raw set-level data with flexible filters (exercise, muscle group, muscle, IDs) for custom analysis or export.

get_training_statusLightweight status: weekly adherence vs goal, next scheduled workout, last workout date, and days since training.

Recommendations

get_recommendationsGet pending training recommendations with rationale and confidence.

review_recommendationAccept, reject, or revert a recommendation — mutations are immediate.

Memory

list_memoriesList your memories filtered by category (injury, preference, goal, personal) and status.

get_memoryGet full details on a single memory, including status history and severity.

get_recent_suppressionsList recommendations that were suppressed by injury memories, with the reasons.

update_memory_statusUpdate an injury memory's lifecycle status (active, monitoring, resolved) with an audit note.

save_injury_memoryReport a new injury or pain (body area, severity, affected exercises) so it influences training.

Write — routines

create_routineCreate a routine from existing template IDs (your first routine becomes active automatically).

update_routineUpdate a routine's name, frequency, or template order.

set_active_routineSet which routine is active (it determines your next workout).

delete_routinePermanently delete a routine (its templates are not deleted).

Write — templates

create_templateCreate a workout template with exercises and set prescriptions.

update_templateUpdate a template's name, description, or exercise list.

delete_templatePermanently delete a template and remove it from any routines.

Write — workouts

delete_workoutPermanently delete a logged workout and its analytics data.

Setup

Claude Desktop & Claude.ai (OAuth — recommended)

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

API key (scripts & other clients)

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

Server endpoints

MCP protocol — https://mcp.povver.ai/mcp (bearer auth; POST for JSON-RPC, SSE supported)
OAuth discovery — https://mcp.povver.ai/.well-known/oauth-authorization-server
OAuth flow — /authorize, /token, /register
Health — https://mcp.povver.ai/health
This page — https://mcp.povver.ai/
Plain-text summaries — /llms.txt, /llms-full.txt

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