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  3. Povver β€” Strength Training
P
Health: ActiveRecent health check succeeded.Last checked 9/28/2026, 1:46:14 PM

Povver β€” Strength Training

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
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Your strength-training data for any AI assistant: workouts, progress, muscle volume, routines.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "povver-strength-training": {
      "url": "https://mcp.povver.ai/mcp"
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (40) Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Capabilities & Tool Schemas (40) ~1.3k tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Povver β€” Strength Training.

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 β€” 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).

Documentation Overview

Povver MCP Server

Connect your AI assistant to your Povver strength-training data β€” 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/ Β· /llms.txt Β· /llms-full.txt Requires: a Povver account with a premium subscription (iOS app)

This is a hosted, remote server β€” 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) Β· Glama Β· Smithery

Glama score smithery badge

Connect

Claude (Desktop / web)

Settings β†’ Connectors β†’ Add custom connector β†’ URL https://mcp.povver.ai/mcp. Claude opens a browser window to sign in with your Povver account.

Claude Code

Terminal
claude mcp add --transport http povver https://mcp.povver.ai/mcp

Cursor / other clients

config.json
{
  "mcpServers": {
    "povver": {
      "url": "https://mcp.povver.ai/mcp"
    }
  }
}

API key (automation, scripts, n8n)

In the Povver app: More β†’ Integrations β†’ Developer access β†’ create a key, then send it as a Bearer token:

Terminal
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 β€” 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

ToolDescription
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 β€” 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, set prescriptions (reps, weight, RIR), and per-exercise coaching notes.
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 β€” 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 β€” 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 β€” 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).
list_trained_exercisesEnumerate the exercises you have actually trained: exercise IDs, training frequency, recency, e1RM trend coverage (can_trend + why not), and a data_quality summary β€” use it to pick a valid exercise_id before get_exercise_progress and to see which lifts have enough data to trend.
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.
get_periodization_planGet your current periodization plan: auto-generated or authored (Claude-authored override). Returns the plan structure, phases, day templates, and status.

Recommendations

ToolDescription
get_recommendationsGet pending training recommendations with rationale and confidence.
review_recommendationAccept, reject, or revert a recommendation β€” mutations are immediate.

Memory

ToolDescription
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 β€” routines

ToolDescription
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 β€” templates

ToolDescription
create_templateCreate a workout template with exercises, set prescriptions, and a per-exercise coaching note.
update_templateUpdate a template's name, description, or exercise list (including each exercise's coaching note).
delete_templatePermanently delete a template and remove it from any routines.

Write β€” workouts

ToolDescription
create_workoutRecord up to 25 completed workouts β€” log a finished session, or import training history. Idempotent on a caller-supplied client_ref.
update_workoutCorrect a recorded workout. Only the fields you supply change; everything else is left as it is.
delete_workoutPermanently delete a logged workout and its analytics data.

Write β€” periodization

ToolDescription
set_periodization_planAuthor a periodization policy that steers your existing routine (progression rule, phases, deload). CANNOT define exercises/sets β€” use update_template for those.
preview_periodization_planPreview a plan before committing (validates the policy, no mutations).
pause_periodization_planPause an authored plan and return to auto-periodization (lossless β€” your policy is retained).
resume_periodization_planRe-activate a paused authored plan (no need to re-author).

Resources

Attachable as context from a client's "+" menu:

  • Training Status β€” weekly adherence, next workout, days since training
  • Active Routine β€” current program structure
  • Recent Workouts β€” last 10 session summaries
  • Training Analysis β€” AI insights and weekly review
  • Individual workouts and templates β€” browsable by ID

Prompts

  • Analyze my training week β€” volume, adherence, and recommendations
  • What should I train today? β€” next workout recommendation
  • Review exercise progress β€” strength trends for a specific lift
  • Review my training program β€” full program structure evaluation

Security & privacy

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

Last commit
7d ago
Most recent push to the default branch.
Tools exposed
40
Callable tools this server registers over MCP.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Povver β€” Strength Training

Povver β€” Strength Training is a hosted MCP server. Add it as a remote server in your client's config: "mcpServers": { "povver-strength-training": { "url": "https://mcp.povver.ai/mcp" } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSSE (Remote)
Last updatedSep 21, 2026
Views0
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GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit7d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 21, 2026
52Quality signal: Good Β· 52/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools25/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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