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A Model Context Protocol (MCP) server for interacting with the Hetzner Cloud API. This server allows language models to manage Hetzner Cloud resources through structured functions.
This project demonstrates how to use Google's Gemini 2.5 Pro with function calling capabilities to interact with the mcp-flight-search tool via Model Context Protocol (MCP).
A Model Context Protocol (MCP) tool that retrieves relevant information about Godot game engine from a local ChromaDB database.
An MCP (Model Context Protocol) server for Minds, allowing LLMs to interact with the Minds SDK through a standardized interface.
It features a simple and easy-to-use API, allowing you to communicate without worrying about MC protocol details. It runs on various platforms, including Linux, Windows, and macOS.
Stock Trade MCP server in Tiingo with stock prices, news, forex, and fundamentals programmatically via the MCP
Docs • Quickstart • API Reference • Discord
A XGo implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
This is a simple example of how to use the Model Context Protocol (MCP) with OpenAI's API to create a simple agent acting from a chat context.
A comprehensive Model Context Protocol (MCP) server for Android Debug Bridge (ADB) operations, providing complete Android device management capabilities.
Turbular is an open-source Model Context Protocol (MCP) server that enables seamless database connectivity for Language Models (LLMs).
Model Context Protocol (MCP) server for controlled interaction with local console applications and remote SSH sessions, including output monitoring, error detection, and long-running workflows.
A Python-based trading assistant that connects to a Zerodha MCP server to help users manage their trading account.
Publish MATLAB functions as MCP tools for AI agents using MATLAB Production Server
The OP.GG MCP Server is a Model Context Protocol implementation that provides AI agents with access to OP.GG game data for League of Legends, Teamfight Tactics, and Valorant.
In the fast-moving world of agentic AI, two open protocols quietly solve the headaches that used to keep multi-agent projects from ever leaving the lab.
A self-hosted error tracking engine for Rails 8+ applications. Track errors, get notified, and resolve issues—all without external services.
Dynamo MCP is a system that exposes cookiecutter templates through the Model Context Protocol (MCP). It allows you to discover, register, and manage cookiecutter templates, and generate projects from...
An MCP (Model Context Protocol) server that provides comprehensive RAG (Retrieval-Augmented Generation) capabilities for processing and querying directories of documents using the raganything library...
This project demonstrates how to build a multi-agent system using Agent-to-Agent (A2A) communication with the Model Context Protocol (MCP).
Kernel-level sandboxing for LLM agent tool calls made through the Model Context Protocol (MCP).
This repo showcases how to build Model Context Protocol (MCP) servers using Azure Cosmos DB. Explore ready-to-run samples in multiple programming languages including TypeScript,GoLang and Java.
Open-source, self-hosted AI workspace for local and open-weight LLMs with vLLM, LiteLLM, autonomous agents, MCP tools, deep research, artifacts, and BYOK.
Model Context Protocol server enabling AI assistants and chatbots to access transit information through standardized interfaces.