# LLM Integration

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

This project implements a minimized MCP project to understand how the MCP system works. The project calls the LLM service through Deepseek's API_KEY, supports multi - task processing, and includes example services such as weather and stock queries.

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.

The MCP MongoDB Server is a model context protocol service that allows LLMs to interact with MongoDB databases, providing functions such as collection schema checking, query execution, and intelligent ID handling, and supporting read - only mode and security configuration.

The Ollama-MCP-server is a protocol server that connects local Ollama LLM instances with MCP-compatible applications, providing functions such as task decomposition, result evaluation, and model management, and supporting standardized communication and performance optimization.

Anchor MCP is an MCP CLI server template designed for Anchor programs, supporting the integration of LLM applications with external data sources.

The Quarkus Model Context Protocol (MCP) Server is an open-source protocol server that supports easy integration of LLM applications with external data sources and tools through declarative and programmatic APIs.

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.

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

An MCP server that supports standard dice notation, providing dice - rolling functionality for large language models and returning the results and sum of each roll.

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

A command - line code summarization tool based on Gemini Flash 2.0, supporting MCP server integration

The MCP Rust CLI server template is a Rust-based implementation that demonstrates how to build a CLI service compliant with the Model Context Protocol standard, facilitating the integration of LLM applications with external data sources and tools.

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

A GitHub MCP Server project based on TypeScript that allows MCP-compatible LLMs (such as Claude) to interact with the GitHub API through this server.

MCP Server and Tools is a project for building agents and complex workflows based on large language models (LLMs). It integrates with real - time data and tools through the Educhain library and supports the generation of educational content such as multiple - choice questions, lesson plans, and flashcards.

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

Unity - MCP is a bridge tool that connects large language models (LLMs) and the Unity Editor. By exposing Unity Editor functions to AI clients, it enables an AI - driven automated development process. It supports custom tool extensions and currently provides core functions such as game object management, scene operations, and asset handling. It is mainly suitable for the Unity Editor environment.

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.

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

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

The MCP Rust CLI server template is a simple application template that demonstrates how to implement an MCP CLI server in Rust, used to connect LLM applications with external data sources and tools.

The @cmmv/mcp module of CMMV implements the Model Context Protocol (MCP), providing a standardized interface for CMMV applications, supporting the interaction between LLMs and applications, and including functions such as tool registration, validation, and connection management.

The Fish Audio MCP Server is a middleware that provides text-to-speech services. It achieves seamless integration with LLMs such as Claude through the Model Context Protocol, supporting multilingual, multi-tone, and real-time streaming audio generation.

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.

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

The ActivityWatch MCP Server is a middleware that connects to the time - tracking tool ActivityWatch, allowing LLM models like Claude to access users' time - tracking data through a standard protocol.

sec-mcp is a Python security detection toolkit that provides security check functions for domains, URLs, IPs, etc. It supports integration with Python applications, use in the terminal CLI, or running as an MCP server to provide real-time threat insights for LLMs.

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.

Implementation of the MindManager MCP Server, providing a standardized interface for LLMs