# LLM Integration

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.

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

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

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

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.

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.

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

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

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.

This project implements a server based on the MCP protocol for querying the French legal database via the Legifrance API, supporting integration with large language models such as Claude and providing search functions for legal provisions, codes, and precedents.

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.

The DevBrain MCP server is a tool designed specifically for developers, capable of retrieving relevant high-quality code snippets, articles by independent developers, and blog articles based on user needs. It is similar to a web search but focuses on developer-curated content and can be integrated into LLM agents such as Claude to help developers implement features or obtain references.

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.

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.

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.

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.

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

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.

The n8n MCP Server is a service that provides access to n8n workflows, executions, credentials, etc. through the Model Context Protocol, enabling large language models to interact with n8n instances in a secure and standardized manner.

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.

A Rust-based MCP CLI server template for implementing standardized connections between LLM applications and external data sources and tools.

This project implements a Model Context Protocol (MCP) server, which provides a standardized data source access method for LLMs and supports three core capabilities: resources, tools, and prompts.

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

A Vite plugin that provides MCP server functionality to help LLMs understand the React application context, supporting component highlighting, state retrieval, component tree display, and unnecessary re-render detection.

This project is a server - side implementation based on the Model Context Protocol (MCP), providing seamless integration with the Milvus vector database and enabling multiple LLM applications such as Claude Desktop and Cursor to access database functions through a standardized protocol.

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 Video Indexer MCP server provides tools and resources for interacting with the Video Indexer API, supporting the generation and retrieval of prompt content from video insights.