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MCP server · Developer Tools

Exercise Analyzer

by · github.com/abhijit-23blaze/MCP-exercise-analyzer

🧘‍♀️ ISMAR MCP: Your AI posture coach! ✨ Analyzes 3D joint data for real-time feedback on yoga & exercise form. 📊 Get personalized corrections, health insights, and track progress. 💪 Perfect for VR/AR fitness apps and health monitoring systems! 🌟

Unclaimed last commit a year ago devtools
InstallView source
41Fair

Scored 5 months ago · breakdown

About Exercise Analyzer

Exercise Analyzer is an MCP server published by abhijit-23blaze in the Developer Tools category: 🧘‍♀️ ISMAR MCP: Your AI posture coach! ✨ Analyzes 3D joint data for real-time feedback on yoga & exercise form. 📊 Get personalized corrections, health insights, and track progress. 💪 Perfect for VR/AR fitness apps and health monitoring systems! 🌟.

The repository has 3 stars and 0 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/abhijit-23blaze/MCP-exercise-analyzer

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (3)

generate-session-reportGenerates a comprehensive report analyzing the entire yoga session based on stored frame data.

Parameters not published.

list-framesList available yoga pose frames

Parameters not published.

read-frameRead a specific yoga pose frame

Parameters not published.

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Security checks

Static checks derived from the repository 7 days ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • !License declaredNo license file. Legally you have no right to use it in a product.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

ISMAR MCP: Medical Context Pose Analyzer

A Model Context Protocol (MCP) server for analyzing 3D vector joint data to detect and provide feedback on yoga poses, exercise form, and posture.

Overview

This project provides a medical context analyzer for 3D vector joints that:

  • Detects and tracks body postures and joint positions
  • Analyzes yoga poses against ideal reference poses
  • Provides feedback on pose accuracy and suggested corrections
  • Generates comprehensive session reports with medical insights
  • Calculates calories burned and exercise benefits

Features

  • Real-time Pose Analysis: Compares user poses against ideal reference poses
  • Medical Context: Offers insights on health benefits and potential risks
  • Exercise Tracking: Monitors pose transitions, pace, and exercise quality
  • Comprehensive Reports: Generates detailed session summaries with metrics

Prerequisites

  • Node.js (v14 or higher)
  • npm or yarn

Installation

  1. Clone the repository:
git clone https://github.com/your-username/ismar-mcp.git
cd ismar-mcp
  1. Install dependencies:
npm install
  1. Build the project:
npm run build

Usage

Running the MCP Server

The server implements the Model Context Protocol and runs over standard I/O:

node build/index.js

Alternatively, use the binary directly if it's installed globally:

yoga-analyzer

Available Tools

The MCP server provides the following tools:

  1. list-frames: Lists available yoga pose frames with pagination
  2. read-frame: Reads a specific yoga pose frame by URI
  3. generate-session-report: Generates a comprehensive report analyzing the yoga session

Data Files

The server requires the following data files:

  • ideal_poses.json: Contains reference poses for various yoga positions
  • yoga_medical_info.json: Medical information about each pose, benefits, and calorie burn rates
  • current_frames.json: Current session frame data captured from the user

Integration

This MCP server can be integrated with any MCP-compatible client, including:

  • VR/AR applications
  • Fitness tracking systems
  • Telemedicine platforms
  • Health monitoring applications

Development

Project Structure

  • src/index.ts: Main server implementation
  • src/types.d.ts: Type definitions
  • src/ideal_poses.json: Reference pose data
  • src/yoga_medical_info.json: Medical context information
  • src/current_frames.json: Current session frame data

Building from Source

npm run build

This will generate the built files in the build directory.

License

ISC License

Dependencies

  • @modelcontextprotocol/sdk: Model Context Protocol SDK
  • zod: Schema validation library
  • TypeScript development environment

README fetched from the repository 7 days ago. The original is authoritative.

Questions

About Exercise Analyzer

How do I install Exercise Analyzer?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Exercise Analyzer safe to use with an AI agent?

Its trust score is 41 out of 100 (fair). It passes 3 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Exercise Analyzer still maintained?

The last commit was a year ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.