# LLM Tools

An MCP service implementation based on TypeScript, providing calculator, date-time, and note-taking tools for LLMs such as Claude, and supporting the expansion of new functions.

This project provides a series of OpenMCP services contributed by the community, supporting collaboration with any MCP-compatible LLM application or framework. It includes quick start examples, a GitHub PR review tool, and a text-to-podcast video generation tool.

The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.

An MCP server that connects to databases via ODBC, providing secure read - only database query capabilities for LLM tools such as Claude

An MCP server that integrates the Tavily Search API, providing optimized search capabilities for LLMs.

The Firebase MCP server is an open - source protocol implementation that allows LLM clients to interact with Firebase services through the MCP protocol, including authentication, database, and storage functions.

VectorMCP is a Ruby library for implementing the server-side functions of the Model Context Protocol (MCP), enabling large language models (LLMs) to discover and interact with external tools, resources, and prompt templates.

Model Context Protocol (MCP) is an open - source protocol that provides a series of reference implementations and community - developed servers for providing large language models (LLMs) with secure and controlled access to tools and data sources. The project includes various functional servers, such as file system operations, Git integration, database access, etc., and supports rapid development of new services through TypeScript and Python SDKs.

An MCP server template project based on LLM CLI, providing development, testing, and deployment tools, supporting architectural design feedback and local debugging.

A server template project based on the LLM - MCP protocol, providing the ability to compare numbers and supporting multiple client calling methods.

MCP Tools is a custom server that implements the Model Context Protocol (MCP), providing file system and command execution tools for LLM clients such as Claude Desktop, and extending the local system interaction capabilities of LLMs.

An MCP server and client project implemented in Rust, demonstrating an example of integrating multiple tools to assist LLM.

MCP server development guide, introducing how to build a standardized communication protocol server for large language models (LLMs), including core architecture, function implementation, and example code.

MCP Tools is a server project that implements the Model Context Protocol (MCP), providing file system and command execution tools for LLM clients such as Claude Desktop, and extending the local system interaction capabilities of large language models.

An implementation of an MCP server that operates multiple databases using natural language. Currently, it supports MongoDB, and more database types will be added in the future.

A multi - language package documentation retrieval MCP service that does not require an API key, supporting documentation scraping and analysis across multiple programming language ecosystems.

Cortex is an MCP (Model Context Protocol) server framework implemented in Go, allowing developers to build MCP services declaratively and provide context and tool support for LLMs through a standardized protocol.

A Pokemon data query server based on the MCP protocol, which retrieves Pokémon information through PokéAPI and provides tools for LLMs, including querying Pokémon details, building tournament squads, and listing popular Pokémon.

The Dremio MCP Server is a locally - run Model Context Protocol service that simplifies the integration of LLMs (such as Claude) with the Dremio data platform. It connects Dremio and the LLM front - end through configuration files, supports functions such as data schema discovery and workload analysis, and provides a quick installation and configuration guide.

This project demonstrates how to create an MCP server that enables LLMs to communicate with Backstage instances, including a sample agent based on the Bee Agent Framework.

A weather service project based on the MCP protocol, including server and client implementations, for obtaining weather data in the United States.

A toolset for automated API testing using LLM, providing core and advanced tools to support the testing process.