Hevy Workout Analytics

v1.0.0Analyticsstable

Provides Claude with SQL access to Hevy workout history and personal training conventions stored in a SQLite database. It enables detailed analysis of exercise progress, volume trends, and muscle group mappings through natural language queries.

hevy-workout-analytics-mcp-servermcpai-integration
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What is Hevy Workout Analytics?

Hevy Workout Analytics is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to provides claude with sql access to hevy workout history and personal training conventions stored in a sqlite database. it enables detailed analysis of exercise progress, volume trends, and muscle grou...

Provides Claude with SQL access to Hevy workout history and personal training conventions stored in a SQLite database. It enables detailed analysis of exercise progress, volume trends, and muscle group mappings through natural language queries.

This server falls under the Analytics category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Provides Claude with SQL access to Hevy workout history and

Use Cases

Analyze exercise progress and volume trends with SQL queries.
Track muscle group mappings and training conventions.
ndeast

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx hevy-workout-analytics-mcp-server

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about Hevy Workout Analytics

What is Hevy Workout Analytics?

Hevy Workout Analytics is a Model Context Protocol (MCP) server that provides claude with sql access to hevy workout history and personal training conventions stored in a sqlite database. it enables detailed analysis of exercise progress, volume trends, and muscle group mappings through natural language queries. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Hevy Workout Analytics?

Follow the installation instructions on the Hevy Workout Analytics GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Hevy Workout Analytics?

Hevy Workout Analytics works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Hevy Workout Analytics free to use?

Yes, Hevy Workout Analytics is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Analytics MCP Servers

Explore all analytics servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "hevy-workout-analytics-mcp-server": { "command": "npx", "args": ["-y", "hevy-workout-analytics-mcp-server"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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