"Bevy" matching MCP servers:

Enables AI agents to answer Bevy development questions from version-pinned documentation, API signatures, examples, migration guides, and compatibility data, with tools for searching, validating systems, explaining errors, and generating plugin scaffolds.

Enables an LLM agent to search products, manage a shopping cart, and reorder from purchase history at the Rami Levy supermarket chain via its real API.

An MCP server that exposes the Hevy fitness API as 22 tools, enabling AI agents to manage workouts, routines, exercise templates, and body measurements through natural language.

A Model Context Protocol server that connects Claude to Hevy workout logs, enabling workout reading, routine creation, and training analysis.

An MCP server that interfaces with the Hevy fitness tracking API, enabling AI assistants to manage workouts, routines, exercise templates, and more via natural language.

Enables AI assistants to access and analyze your Hevy workout data, including workout history, exercise progress, personal records, and routines.

Provides guarded access to the official Hevy fitness API, enabling users to list workouts and routines, search exercise templates, review exercise history, and create routines or workouts with explicit confirmation for writes.

A Model Context Protocol (MCP) server implementation that interfaces with the Hevy fitness tracking app and its API. This server enables AI assistants to access and manage workout data, routines, exercise templates, and more through the Hevy API (requires PRO subscription).

MCP server for the Hevy fitness tracking app, enabling management of workouts, routines, exercise templates, folders, and webhooks through AI assistants.

A production-ready MCP server for the Hevy fitness API that exposes 27 tools for reading, writing, and analyzing workout data, enabling LLM-driven personal trainer workflows.

MCP server for the Hevy workout tracker API that allows reading and writing workouts, routines, exercise templates, and body measurements.

A server that integrates with Claude Desktop to enable real-time web research capabilities, allowing users to search Google, extract webpage content, and capture screenshots directly from conversations.

Provides AI agents with access to Hevy workout data, allowing them to manage workouts, routines, exercises, and body measurements through a Dockerized SSE endpoint.

Enables AI agents to interact with the Hevy Workout Tracker API to manage workouts, routines, exercises, and user data.

Enables access to Hevy strength-training data—workouts, routines, exercise history, and progression—via an MCP server with per-user credential encryption and optional write support.

MCP server for Hevy that fetches live workout data and computes analytics like e1RM, PRs, volume, and consistency, while enabling writes for routines, folders, and body measurements without modifying workout history.

Unofficial MCP server for Hevy that lets AI assistants design training programs, create routines directly in your Hevy account, and analyze logged workouts.

Enables AI assistants to read, analyze, create, and update Hevy workout data, including workouts, routines, exercises, and body measurements, through the Model Context Protocol.

Enables LLMs to read and write Hevy workout tracking data, including workouts, routines, exercise templates, per-exercise history, and body measurements through all 15 Hevy public API endpoints.

A Model Context Protocol (MCP) server that provides AI assistants with access to the Hevy fitness tracking API. This allows you to log workouts, manage routines, browse exercises, and track your fitness progress directly through AI chat interfaces.

A personal remote MCP server that lets Claude read your Hevy workout data and MacroFactor nutrition data directly in conversation, with read-only tools for workouts, body measurements, macros, and weight trends.

Connects AI assistants directly to Hevy workout data, enabling analysis of training volume, strength progression tracking, and web searches for fitness research.

Enables AI assistants to interact with the Hevy fitness tracking API, allowing users to log workouts, manage routines, browse exercises, and track fitness progress through natural language.

Enables ChatGPT to read and manage one Hevy account's workouts, routines, exercise history, body measurements, and active workout drafts, including previewing and applying routine or workout changes with revision checks.

Provides full access to the Hevy public API, enabling users to manage workouts, routines, routine folders, exercise templates, exercise history, and body measurements through natural language. Supports both local stdio and remote HTTP MCP deployments.

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.

Enables interaction with the Hevy fitness tracking platform through their API. Supports managing workouts, routines, exercise templates, and webhook subscriptions for comprehensive fitness data management.

Connects Claude to a Hevy account so it can analyze synced workout history, volume, personal records, and muscle balance, then draft and save routines and multi-week programs back into Hevy with confirmation. Runs as a free Cloudflare Worker custom connector, with read-only workout access and previews before any routine change is written.

Python MCP server for the Hevy fitness app. Gives Claude full access to your Hevy data. Log workouts, manage routines, track body measurements, browse exercises, and more. Covers all 25 endpoints of the official Hevy API.

Access your Hevy workout data through natural language. Query workout history, exercise details, routines, and track progress.