# LLM Integration

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.

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.

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

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 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.

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.

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.

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.

A Python client for interacting with Model Context Protocol (MCP) endpoints via Server-Sent Events (SSE), supporting tool discovery, invocation, and integration with multiple LLMs.

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 integrated with Sourcegraph, providing code search and analysis capabilities 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.

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.

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

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.

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.

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.

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

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

This project is an MCP server implementation based on ODBC, providing large language models with the ability to transparently access ODBC data sources and supporting multiple database query tools and format outputs.

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

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.

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.

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.