# LLM Integration

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

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.

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.

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

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

A Python-based MCP protocol client and server that enables sending notifications to Telegram and receiving user replies, supporting custom urgency levels and timeout settings.

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.

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

A CLI tool built on Rust to assist with code-related tasks, supporting autonomous exploration of the codebase, file reading and writing, working memory management, file summarization, and interactive communication, and can run as an MCP server.

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

This is an MCP server framework based on Ruby, implementing the Model Context Protocol (MCP), allowing large language models to invoke tools (such as generating random numbers). The project includes functions such as protocol processing, tool management, and logging, and supports integration with LLMs such as Claude.

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.

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.

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.

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.

The Alby Bitcoin Payments MCP Server integrates a Bitcoin Lightning wallet with an LLM through Nostr Wallet Connect (NWC), supports the LNURL and L402 protocols, and provides both local and remote connection methods.

The OracleDB MCP Server is a server that provides Oracle database table/column context to LLMs, supporting interaction with the database through LLM prompts, generating SQL statements, and returning results.

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

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.

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

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.

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

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.

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 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.

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

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

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.