Other MCP Servers

Formula One

Provides access to Formula One data and statistics using the FastF1 Python library through a Model Context Protocol (MCP) interface.

Source Tree

Generates a file tree in JSON format for a specified directory, excluding files and directories based on .gitignore rules.

Trading Simulator

Enables AI models to interact with the Trading Simulator API, allowing them to check balances, prices, and execute trades through an MCP-compatible interface.

Image Generator

Generates images using Replicate's Stable Diffusion model and provides tools for saving and managing them.

Mcp Framework

Simplifies building Model Context Protocol (MCP) servers in TypeScript with automated tool, resource, and prompt discovery.

Starbucks

Retrieves Starbucks menu categories and items.

Model Context Protocol

Extends large language model capabilities through tool invocation directly within the model's text output.

Trinity

Enables remote tool execution via JSON-RPC.

Google Contacts

Enables AI assistants to manage Google Contacts, search the organization's directory, and interact with Google Workspace.

Wagyu Sports

Provides access to sports betting data from The Odds API for use with Model Context Protocol (MCP) compatible AI assistants.

Degen

Facilitates sports odds betting through language models.

Calista Research LLMs

Enables on-device and cloud language models to collaborate, reducing cloud costs while maintaining quality by reading long contexts locally.

Weather

Retrieves and displays weather information.

Beeper

Enables interaction with a chain using a note storage system and a summarization prompt.

Dice Thrower

Simulates the throwing of dice using a JavaScript runtime environment.

Photoroom

Provides an unspecified set of functionalities related to Photoroom.

Refactored Octo Parakeet

Demonstrates a simple application within the MCP ecosystem.

Perplexity

Configures Machine Control Protocol (MCP) servers for integrating with Perplexity AI.

Iris

Automates the generation of tag-based release notes for Git repositories by analyzing differences between tags.

Rubygems

Fetches metadata for Ruby gems from the rubygems.org API using the Model Context Protocol.