# Protocol Service

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

An AI model interaction server based on FastAPI and MCP protocol, providing standardized context interaction and high-performance API services.

The Storm MCP server is an open protocol that enables seamless integration of LLM applications with RAG data sources and tools, supports custom embedded models and vector database connections, and provides functions such as context sharing, tool systems, and file management.

The MCP server is a service for processing the model context protocol. It supports installation through npm, yarn, or pnpm and provides examples of client calls.

The MCP Ayd Server is an implementation of the Model Context Protocol server designed for Ayd.

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

MCP-Serve is a multilingual translation service based on the MCP protocol, providing text translation and resource management functions, and supporting interaction with AI models to expand capabilities.

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.

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.

This project implements a Model-Context Protocol (MCP) server and client for MinIO object storage, providing a standardized interaction method, supporting access to text/binary files, querying bucket lists, object operations, etc., and includes a basic client and an Anthropic AI integrated client.

The Northbeam MCP Server is a Model Context Protocol service for accessing Northbeam marketing analytics data, providing functions for querying metrics, dimensions, channel performance, cohort analysis, and attribution data.

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.

A Model Context Protocol server implemented for NebulaGraph, providing graph database access and query functions, and supporting LLM tool system integration.

Portkey's Model Context Protocol (MCP) server implementation for connecting AI tools and services. Supports Docker, binary, and source code installation, provides SSE and stdio transport modes, and can be integrated with Cursor IDE and Claude Desktop.

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.

An MCP protocol server implemented based on MySQL, providing a standard interface for AI models to interact with MySQL databases

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.

An Azure DevOps server that implements the Model Context Protocol (MCP), providing a standardized interface for AI assistants to securely access and manage Azure DevOps resources.

Implementation of the Gemini MCP Server, supporting interaction between Claude Desktop and the Google Gemini 2.5 Pro Experimental model

The Linkup MCP Server is a tool used to integrate Linkup's web search functionality with AI models supporting function calls through the MCP protocol.

An MCP service based on the Model Context Protocol specification, providing a standardized interface for interacting with Quick Chart. Supports getting chart image links and local service installation.

A Model Context Protocol (MCP) server implemented for the integration of SAP HANA cloud database and Cursor IDE, providing model management, execution environment configuration, and standardized communication interfaces.

The MCP server is a platform that supports AI - based autonomous software development. It provides functions such as file operations, network requests, database queries, Git management, and system command execution, enabling full - process automated development from concept to testing.

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 Rails MCP Server is a Model Context Protocol server implemented in Ruby, providing a standard interface for Rails projects to interact with large language models.

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.

The VRChat MCP Server is a standardized protocol service for interacting with the VRChat API, providing access to various functions such as user authentication, friend information, avatar and world data.