# LLM 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.

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

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 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.

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.

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

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.

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

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

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.

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

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.

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.

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 service that connects LLM to Compiler Explorer, supporting code compilation, exploration of compiler functions, and optimization analysis

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

BCS-MCP is an autonomous MCP service for integrating the BCS trading API with LLM. It collects market and personal data, stores them in PostgreSQL/pgvector, and provides tools through MCP, supporting semantic search, local script calculation, and trading signal generation.

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.

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 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.

The E2B Cookbook is a project containing various example codes and guides for development using the E2B SDK. It covers a variety of scenarios from basic introduction to advanced applications, including integration with different LLM providers, integration of AI frameworks, and practical application cases.

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.

A Python-based MCP server that connects to a SQLite database and provides data query, schema access, and prompt template functions, supporting interaction with language models and MCP clients.

An MCP server project for controlling Philips Hue smart lights through LLM interfaces such as Claude.

A secure MCP command server for executing system commands through LLM applications