Server data from the Official MCP Registry
Your strength-training data for any AI assistant: workouts, progress, muscle volume, routines.
About
Your strength-training data for any AI assistant: workouts, progress, muscle volume, routines.
Remote endpoints: streamable-http: https://mcp.povver.ai/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"ai-povver-mcp-server": {
"url": "https://mcp.povver.ai/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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.
Listed on: Official MCP Registry (ai.povver/mcp-server) · Glama · Smithery
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/mcp
Cursor / 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/mcp
Example 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
Every tool carries a display title and readOnlyHint / destructiveHint annotations; a client can tell reads from writes and from deletes.
Read
| Tool | Description |
|---|---|
check_connection | Verify the connection and return basic account info (name, subscription, whether you have an active routine and logged workouts). |
get_user_profile | The 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_snapshot | Compact overview of your training setup: profile, active routine, next workout, last 10 sessions, and strength records. |
list_routines | List all your routines with IDs, template IDs, frequency, and which one is active. |
get_routine | Get one routine with its template names and exercise summaries. |
list_templates | List all your workout templates (names and IDs). |
get_template | Get one template with its full exercise list, set prescriptions (reps, weight, RIR), and per-exercise coaching notes. |
list_workouts | List recent workouts as summaries with aggregate analytics (volume, sets, reps). |
get_workout | Get one workout with full set-level data (weight, reps, RIR, set type) and computed metrics. |
search_exercises | Search the exercise catalog by name or keyword; returns name, ID, muscle groups, and equipment. |
get_strength_climb | Your 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_insights | AI-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_state | A 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_progress | Raw weekly progress series for a muscle group (volume, set counts, e1RM) for charting and analysis. |
get_exercise_progress | Up 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). |
list_trained_exercises | Enumerate the exercises you have actually trained: exercise IDs, training frequency, recency, e1RM trend coverage (can_trend + why not), and a data_quality summary — use it to pick a valid exercise_id before get_exercise_progress and to see which lifts have enough data to trend. |
query_sets | Query raw set-level data with flexible filters (exercise, muscle group, muscle, IDs) for custom analysis or export. |
get_training_status | Lightweight status: weekly adherence vs goal, next scheduled workout, last workout date, and days since training. |
get_periodization_plan | Get your current periodization plan: auto-generated or authored (Claude-authored override). Returns the plan structure, phases, day templates, and status. |
Recommendations
| Tool | Description |
|---|---|
get_recommendations | Get pending training recommendations with rationale and confidence. |
review_recommendation | Accept, reject, or revert a recommendation — mutations are immediate. |
Memory
| Tool | Description |
|---|---|
list_memories | List your memories filtered by category (injury, preference, goal, personal) and status. |
get_memory | Get full details on a single memory, including status history and severity. |
get_recent_suppressions | List recommendations that were suppressed by injury memories, with the reasons. |
update_memory_status | Update an injury memory's lifecycle status (active, monitoring, resolved) with an audit note. |
save_injury_memory | Report a new injury or pain (body area, severity, affected exercises) so it influences training. |
Write — routines
| Tool | Description |
|---|---|
create_routine | Create a routine from existing template IDs (your first routine becomes active automatically). |
update_routine | Update a routine's name, frequency, or template order. |
set_active_routine | Set which routine is active (it determines your next workout). |
delete_routine | Permanently delete a routine (its templates are not deleted). |
Write — templates
| Tool | Description |
|---|---|
create_template | Create a workout template with exercises, set prescriptions, and a per-exercise coaching note. |
update_template | Update a template's name, description, or exercise list (including each exercise's coaching note). |
delete_template | Permanently delete a template and remove it from any routines. |
Write — workouts
| Tool | Description |
|---|---|
create_workout | Record up to 25 completed workouts — log a finished session, or import training history. Idempotent on a caller-supplied client_ref. |
update_workout | Correct a recorded workout. Only the fields you supply change; everything else is left as it is. |
delete_workout | Permanently delete a logged workout and its analytics data. |
Write — periodization
| Tool | Description |
|---|---|
set_periodization_plan | Author a periodization policy that steers your existing routine (progression rule, phases, deload). CANNOT define exercises/sets — use update_template for those. |
preview_periodization_plan | Preview a plan before committing (validates the policy, no mutations). |
pause_periodization_plan | Pause an authored plan and return to auto-periodization (lossless — your policy is retained). |
resume_periodization_plan | Re-activate a paused authored plan (no need to re-author). |
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
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).
Reviews
No reviews yet
Be the first to review this server!
More Developer Tools MCP Servers
Git
Freeby Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
Fetch
Freeby Modelcontextprotocol · Developer Tools
Web content fetching and conversion for efficient LLM usage
Paperclip
Freeby Paperclipai · Developer Tools
Trending hip-hop artist momentum scores across four cultural dimensions.
Toleno
Freeby Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
mcp-creator-python
Freeby mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.
MCP Marketplace
Freeby mcp-marketplace · Developer Tools
Search and install MCP servers from inside your AI client.