— · Apache 2.0
A read-only MCP server that lets AI agents query a user's own Garmin Connect data via Garmin's official Personal API. It exposes activities, daily wellness metrics, sleep and recovery, and body/profile data as tools for natural-language analysis.
— · MIT License
Enables MCP clients to identify connected drives, read/write and back up parameters, control speed and positioning, capture oscilloscope data, flash firmware, and run validation workflows through existing Drivesoft communication components.
— · MIT License
A read-only MCP server that gives AI agents access to a user's Last.fm listening history, including recent plays, top tracks, artists and albums, loved tracks, tags, and similar-track/artist data. This lets the agent inspect someone's taste and discover music they haven't heard before, which it can then play through its own music tool.
— · MIT License
Enables MCP clients such as Claude to access selected read-only Garmin activity and step data plus MyFitnessPal diary data through one self-hosted authenticated endpoint.
— · Apache 2.0
Read-only MCP server with real Chinese chain-restaurant nutrition data: 103 menu items across 14 chains, calories and macros plus per-item health notes. Published on PyPI.
— · MIT License
Enables AI clients to create, configure, validate, and generate STM32CubeMX projects through 113 MCP tools, including pin, clock, peripheral, RTOS, and middleware setup plus C code generation. It can drive an installed CubeMX engine or run fully standalone using a bundled data pack with real pin and mode validation.
v0.2.0 · MIT License
Enables clients to look up Pokémon stats, abilities, and type matchups, generate seeded random teams, analyze Showdown-style team text, and calculate simplified damage estimates using bundled offline data. It runs over stdio without API keys or runtime network requests.
v1.0.0 · MIT License
Ten tools I built to get facts from official open data, not guesses.
v0.1.0 · MIT License
Enables an AI agent to check live GPU prices, get a cost quote, rent a per-minute GPU instance, upload code and data, run jobs in the background, tail logs, download results and destroy the instance to stop billing. Includes guardrail limits on spend, hours and idle time, safe file transfer, and access to an OpenAI-compatible model API for inference without renting a GPU.