# AI Tools

Klavis AI is an open - source project that provides a multi - functional computing platform (MCP) for use on Slack, Discord, and web pages. It allows non - technical users to easily configure AI workflows, and developers can expand and build on it.

A dynamic MCP server implementation based on FastMCP, supporting automatic loading of tools, resources, and prompt modules

1MCP is a unified multi - MCP server aggregation solution designed to simplify the interaction management between AI assistants and external tools.

This project implements a GitHub code search tool through the Model Context Protocol, providing a standardized external service interaction interface for AI assistants, including functions such as code search and repository viewing.

An MCP server that provides Hacker News content acquisition services, supports querying multiple story types and returns structured data.

MCPSharp is a .NET library for building servers and clients compliant with the MCP protocol. It supports quickly converting .NET methods into tool functions callable by AI models and provides integration with Microsoft.Extensions.AI and Semantic Kernel.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement the OAuth login function. Support local development and debugging, connect and test through the MCP inspector, and allow the Claude desktop client to call the tools in the MCP service.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality. It supports local development and debugging, can be connected via the MCP Inspector or the Claude desktop application, and is finally deployed to the Cloudflare cloud service.

The promptz.dev MCP server provides the function of directly accessing prompts on the promptz.dev platform from an AI assistant, reducing context switching in development.

Snippy is an intelligent code snippet management service based on Azure Functions. It uses the MCP protocol to interact with tools like Copilot, supporting functions such as code snippet storage, search, and AI analysis.

awesome - mcp is a project that collects and shares MCP (Model Context Protocol) servers, covering various MCP server implementations contributed by the official and the community, including multiple fields such as AI, databases, browser automation, code management, image generation, search, and storage.

This is an MCP SSE server project based on JWT authentication, providing secure access to multiple AI tools, supporting dynamic tool registration and session management, and suitable for production - environment expansion.

Postmancer is an MCP server designed specifically for AI assistants, supporting interaction with RESTful APIs through natural language

An AI demonstration project showcasing the functions of the GitHub MCP server

A NestJS module for easily exposing AI tools, resources, and prompts via the Model Context Protocol (MCP), supporting multiple transport types and automatic discovery and registration functions.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality. It supports local development and debugging, connection and testing through the MCP Inspector, integration with the Claude desktop application, and finally can be deployed to the Cloudflare cloud for remote calls.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers and tools. MCP is an open standard introduced by Anthropic that enables AI models to connect to external data sources and tools through standardized interfaces, enhancing their capabilities.

The MCP Filesystem Server is a secure file access service based on the Model Context Protocol, strictly restricting AI models to perform filesystem operations only within preset directories.

Axone's MCP server is a lightweight implementation that exposes Axone's capabilities through the standardized Model Context Protocol (MCP), serving as a gateway for AI tools to access the data universe.

The cryptocurrency daemon MCP server provides a protocol interface for AI assistants to interact with cryptocurrency nodes

A web crawling service based on the MCP protocol, providing web page content extraction functions for AI assistants, supporting bypassing anti - crawler mechanisms and returning formatted text.

The MoveFlow Aptos MCP Server is a blockchain interaction service based on the Model Context Protocol, providing a standard interface for AI assistants to interact with the Aptos blockchain's cryptocurrency streaming payment protocol.

This is an AI development tool project based on Docker containers. It uses Markdown files to write complex workflows, combines Dockerized tools with the LLM model selected by the user, and implements a workflow of multi - model agents and project - priority design.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers, implement the OAuth login function, and support connecting and invoking tools through the MCP inspector and Claude desktop client.

A collection of Model Context Protocol (MCP) servers, providing reference implementations and community resources, supporting enterprises to access AI tools in a secure and controllable manner, including service examples such as weather and search.

LetzAI MCP is a model context protocol for image generation. Integrated through the Claude desktop application, it supports generating and upscaling images based on prompts.

This project demonstrates how to set up a remote MCP server on Cloudflare Workers, including OAuth login functionality, and supports connection and use through the MCP Inspector and Claude Desktop client.

CodeBox-AI is a secure Python code execution service that provides self-hosted code interpreter functionality, supports conversational code execution, dynamic package installation, and visual output, and integrates the MCP protocol for interaction with LLM applications.

An MCP server based on the Perplexity AI API, providing web search functionality for the Claude desktop client.

A modular server project based on the MCP protocol that allows language models to call external tools (such as weather queries, dictionaries, mathematical calculations, etc.) in real-time to enable AI to interact with the real world.