# Protocol Service

An MCP server prototype designed for Santa, driving the Santa toolchain through LLM

Ultra MCP is a multi-model AI protocol server that integrates AI models such as OpenAI and Gemini through a unified MCP interface, providing support for Claude Code and Cursor. It features zero-configuration installation, a built-in usage analysis dashboard, and a modern web interface.

The Exa MCP Server is a server that enables AI assistants (like Claude) to conduct web searches through the Exa AI Search API, using the Model Context Protocol (MCP) to achieve secure and controllable connections to external tools.

A server that implements the Model Context Protocol (MCP) for interacting with Dust AI agents, supporting real-time streaming responses and various integration methods.

The MedixHub MCP Server is a model context protocol service based on JavaScript, integrating medical and health API access functions, providing standardized function execution, parameter verification, and LLM integration, and supporting various medical data queries such as OpenTarget, FDA drug labels, and Monarch databases.

WebSearch-MCP is a server implementation based on the Model Context Protocol (MCP), providing real-time web search capabilities for AI assistants.

An integration component that provides model context protocol services for Home Assistant

This is a TypeScript-based File System MCP Server that provides a secure and reliable local file system operation interface for AI agents, including functions such as reading, writing, updating, and managing files and directories.

Tabby-MCP-Server is a powerful Tabby plugin that implements the Model Context Protocol (MCP) server, enabling AI to control the terminal and automate operations.

The Gemini MCP Server is a middleware designed for the Claude desktop application, enabling image generation through Google's Gemini AI model. This project provides a convenient installation and configuration wizard, supports Docker containerized deployment, and allows users to customize generation parameters.

FFmpeg-MCP is a server-side project based on the Model Context Protocol, aiming to provide multimedia processing capabilities for LLMs.

A NestJS module for easily exposing AI tools, resources, and prompts via the Model Context Protocol (MCP), supporting multiple transport types and dependency injection.

The Kafka MCP Server is an Apache Kafka Model Context Protocol (MCP) server implemented in Go. Through a standardized interface, it enables LLM models to perform Kafka operations. It provides functions such as producing/consuming messages, managing topics and consumer groups, and monitoring cluster health. It supports multiple security authentication methods and can be integrated with AI applications such as Cursor and Claude.

An IMAP/SMTP email server based on the model context protocol, supporting email search, reading, sending, and management operations by AI assistants (such as Claude and Cursor) through natural language instructions.

The LM Studio MCP Server is a service based on the Model Context Protocol that allows AI assistants to remotely manage models through the LM Studio API, including functions such as viewing, loading, and unloading models.

A demonstration project of an MCP server based on TypeScript, showing the core concepts implemented through the project management system, including resource query and tool operation functions.

An implementation of Routine's MCP protocol server, supporting integration with clients such as Claude Desktop and performing JSON communication through standard input and output.

A Spotify integration service based on the MCP protocol that allows an AI assistant to control and interact with the user's Spotify account, enabling functions such as playback control and playlist management.

Livebook Tools is a CLI tool that provides enhanced capabilities for interacting with .livemd files, including synchronous editing, MCP server connection, and running Livebook scripts via the command line.

The Akash MCP Server is a Model Context Protocol (MCP) server implemented in TypeScript, used to connect AI agents and the Akash decentralized cloud network.

The MCP server of TiDB AI, providing a Q&A interface for Cursor

The Exa MCP Server is a server that enables AI assistants (such as Claude) to perform web searches through the Exa AI Search API, providing real - time and secure web information acquisition functions.

This is an initial implementation of a FIWARE Model Context Protocol (MCP) server, providing a bridge between the context broker and other services, including basic interaction functions and intention operation demonstrations.

The Higress OPS MCP Server is a service implementation based on the Model Context Protocol (MCP) for configuring and managing the Higress gateway. The project also provides an MCP client based on LangGraph and LangChain MCP Adapters, which interacts with the Higress MCP Server through a proxy flow architecture.

A Locust load test server implementation based on the Model Context Protocol, supporting AI development environment integration

This project implements the MCP server for the Typecast API, providing a standardized way for MCP clients to interact with the text-to-speech service.

An implementation of the Model Context Protocol server for NebulaGraph, providing seamless access to NebulaGraph and supporting graph exploration, querying, and quick algorithms.

ATLAS is a task management system based on the Model Context Protocol (MCP), providing hierarchical task management functions for large language models, including core components such as task organization, path validation, transaction management, and storage optimization.

ResearchMCP is a research service based on the MCP protocol, providing internet research functions by integrating the Perplexity AI API, and supporting configurable parameters and structured logs.

The NSAF MCP Server is a server-side implementation of the Model Context Protocol (MCP) used to connect AI assistants with the Neural-Symbolic Autonomous Framework (NSAF), providing evolutionary algorithms and architecture comparison functions.