# LLM Integration

pymcp-sse is a lightweight Python library that implements the Model Context Protocol (MCP) based on HTTP/SSE transmission, providing functions such as modular framework, tool registration and discovery, server push, and LLM integration.

Introduce how to use AutoNavi Maps MCP Server to implement the interaction between LLM and map services

A model context protocol SDK implemented in TypeScript, providing client - side and server - side functions for integration with LLMs.

A NodeJS-based MySQL read-only access MCP server that provides database schema checking and query functions for LLMs.

An MCP server integrated with Sourcegraph, providing code search and analysis capabilities for LLMs.

A server implementing the Model Context Protocol, providing access to the NebulaGraph database, supporting graph data exploration and query, and easy to integrate with LLM tool systems.

The Re-Stack MCP Server is a Model Communication Protocol server that aims to integrate Stack Overflow into LLM-based coding workflows via the Stack Exchange API, providing real-time access to the latest solutions and fixing Stack Overflow's feedback loop issues.

An enterprise-level high-performance MCP server supporting Wasm and Rust, providing an integration platform for tools, resources, and process prompts for LLMs.

An MCP server for MySQL databases based on NodeJS, providing database schema checking and SQL query execution capabilities for LLMs.

This project is a Slack bot client that serves as a bridge between Slack and Model Context Protocol (MCP) servers, enabling the interaction between LLM models and multiple MCP servers through standardized MCP tools.

The Nostr MCP Server provides the ability to interact with the Nostr network for LLMs such as Claude, supporting functions like querying user information, articles, tip records, and anonymous tipping.

This specification defines the standard configuration method for a local MCP server. Server information is described by creating Markdown files in the specified directory for LLMs to parse and use.

The Storm MCP server is an open protocol that implements the Anthropic Model Context Protocol, supports the integration of LLM and RAG data sources, and provides functions such as context sharing, tool system, file management, and API integration.

MCP is an open protocol that provides standardized context interaction for AI applications, similar to the unified interface of USB-C, supporting seamless connection between LLMs and multiple data sources and tools.

This project is a server - side based on the Model Context Protocol (MCP), providing a bridge for the Brandfetch API, enabling large language model (LLM) applications to search for brands and obtain detailed information.

This project is a server based on the Model Context Protocol (MCP), which realizes seamless integration with the Milvus vector database and provides a standardized data access interface for LLM applications. It supports direct invocation of Milvus's search, query, and management functions in applications such as Claude Desktop and Cursor.

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.

A prototype of the MCP server based on Uber Eats, enabling seamless integration between LLM applications and external tools

Ticketron (tix) is an intelligent command-line tool that uses large language models (LLMs) to simplify the interaction with JIRA, supporting natural language creation and search for work orders and improving work efficiency.

This project uses the MCP protocol to develop an automated installation system for GitHub repositories. It includes a GitHub information analysis server and a local CLI execution server, and uses LLM to intelligently handle errors, simplifying the complex environment configuration process.

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

Paprika-3-MCP is a service based on the Model Context Protocol (MCP) that allows users to access and manipulate recipe data in the Paprika 3 application through LLMs (such as Claude), supporting recipe creation and update.

Proof - of - concept project for the MCP server based on Uber Eats

An MCP service that searches for pub.dev packages through natural language queries and performs basic arithmetic calculations

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

A Model Context Protocol (MCP) server implemented for NebulaGraph, providing seamless access to NebulaGraph, supporting graph exploration, querying, and shortcut algorithms, and being easily integrated with LLM tool systems.

The NWC MCP Server is a tool that connects Bitcoin Lightning wallets with LLMs, enabling payment functions through the Nostr Wallet Connect protocol.

A secure Shell command execution MCP server that provides controlled Shell command execution capabilities for LLMs

GraphRAG MCP is a hybrid retrieval system that combines the Neo4j graph database and the Qdrant vector database, providing document retrieval services that combine semantics and graph relationships for large language models.

A server implementing the Schwab API Model Context Protocol (MCP), providing financial data interfaces for LLMs