Povver — Strength Training
Your strength-training data for any AI assistant: workouts, progress, muscle volume, routines.
Installation
Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).
claude mcp add --transport http povver-strength-training 'https://mcp.povver.ai/mcp'{
"mcpServers": {
"povver-strength-training": {
"type": "http",
"url": "https://mcp.povver.ai/mcp"
}
}
}Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
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: https://mcp.povver.ai/ · /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.
Povver also publishes strength calculators: RPE and RIR, one rep max, DOTS, FFMI, strength standards and weekly sets, each with its method and sources.
Listed on: Official MCP Registry (ai.povver/mcp-server) · Glama · Smithery · awesome-remote-mcp-servers
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/mcpCursor / 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/mcpExample 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
One tool per kind of thing (your context, plans, workouts, the session in progress, analysis, exercises, memory, periodization). Each takes a view (reads) or an action (writes) and only that choice's fields. Every tool carries a display title and readOnlyHint / destructiveHint annotations, and delete is the only destructive one.
Changed in 2.0.0: the single-purpose tools of 1.x were consolidated into these (get_workout is now read_workouts with view: detail, create_template is save_plan with action: create_template, and so on), and explain_rule became the resource povver://rules/{rule_id}. The old names are not kept as aliases: a saved prompt that names one needs the new name. Clients pick up the new list when they reconnect.
Read (safe to call freely)
| Tool | Description |
|---|---|
get_context | Start 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_plans | Your routines and workout templates: the full prescription (sets, reps, weight, RIR, coaching notes, supersets), plus Povver's evidence-based starter programmes. |
read_workouts | Your finished workouts: recent summaries with volume, or one session with set-level data and your own notes. |
analyze_training | Povver'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. |
exercises | Search the exercise catalog in plain language, or read one exercise's muscles, equipment and execution notes. |
read_memory | What you asked Povver to remember (injuries, preferences, goals), and which progressions an injury held back. |
read_periodization | Your periodization plan, or a preview of a plan before it is saved. |
read_live_workout | The workout in progress right now: every exercise and set, the next set, and the version to send with a change. |
Write (change your data)
| Tool | Description |
|---|---|
save_plan | Create or edit routines and templates, or set the active routine. Returns the saved routine or template. |
log_workout | Record finished workouts (a session you just did, or history imported from another app; safe to retry) or correct one. |
live_workout | Act on the workout in progress: log sets, swap or add an exercise, change a planned set, pair a superset, finish the session. Several actions in one call. |
manage_periodization | Author a periodization policy that steers your routine, or pause and resume it. |
manage_memory | Report an injury, update its status, or accept or reject a recommendation. |
delete | Permanently delete a workout, routine or template. |
Resources
Attachable as context from a client's "+" menu:
- Training Status — weekly adherence, next workout, days since training
- Active Routine — current program structure
- Recent Workouts — last 10 session summaries
- Training Analysis — AI insights and weekly review
- Individual workouts and templates — browsable by ID
- Tool guide (
povver://guide/tools) and Periodization guide (povver://guide/periodization) — how to import history, edit templates without erasing them, run a live session, read volume - Training rules (
povver://rules/{rule_id}) — the evidence behind each of Povver's training rules, the same cards the in-app coach answers from
Prompts
- Analyze my training week — volume, adherence, and recommendations
- What should I train today? — next workout recommendation
- Review exercise progress — strength trends for a specific lift
- Review my training program — full program structure evaluation
Security & privacy
- OAuth 2.1 with PKCE and dynamic client registration; API keys are hashed at rest and revocable from the app.
- Every request is scoped to the signed-in user; tools only ever touch that user's data.
- Privacy policy: https://povver.ai/privacy · Terms: https://povver.ai/tos
- Support: <mailto:info@povver.ai>
The server source is part of Povver's private codebase; this repository holds the public documentation and the MCP Registry manifest (server.json).
Questions fréquentes
Qu'est-ce que Povver — Strength Training ?
Your strength-training data for any AI assistant: workouts, progress, muscle volume, routines.
Comment installer Povver — Strength Training ?
Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http povver-strength-training 'https://mcp.povver.ai/mcp'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.
Faut-il une clé API pour Povver — Strength Training ?
Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.
Povver — Strength Training est-il open source ?
Son code est public sur GitHub, mais le dépôt ne déclare pas de licence standard.
Qui maintient Povver — Strength Training ?
Il est publié par bvatech. AI.tn le référence sans le maintenir ni le recommander.
Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.