# AI Integration

The PI API MCP Server is a service that provides standardized tools and resources for AI assistants such as Claude to securely access and manage PI Dashboard resources.

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

A server based on the Model Context Protocol (MCP) that enables AI models to interact with Bitcoin and the Lightning Network, supporting functions such as key generation, address validation, transaction decoding, and blockchain query.

An MCP server that interacts with the Farcaster network, providing functions such as getting user dynamics and channel content.

The ScrapeGraph MCP Server is a production-ready model context protocol server that provides seamless integration with the ScrapeGraph AI API, enabling language models to utilize advanced AI-driven web scraping capabilities.

The ClickUp MCP Server is a model context protocol server for integrating ClickUp tasks with AI applications, supporting task, space, list, and folder management through a standardized protocol.

An MCP server project implemented in TypeScript based on FastMCP, used to interact with Telegram via the MTProto protocol and provide tool support for AI models.

This project is an MCP server for the Metasploit framework, providing a bridge between large - language models (such as Claude) and the Metasploit penetration testing platform, and supporting the control of complex security testing workflows through a natural language interface.

An MCP server designed for the Obsidian task plugin, used to extract and query task data from Markdown files, supporting integration with Claude AI for intelligent task management.

MCP Server Box is a Python project that implements functions such as file search, text extraction, AI queries, and data extraction through the Box API. It integrates the box-sdk-gen library and provides a toolset for interacting with Box files and folders.

The SourceSync.ai MCP Server is a standardized implementation of a knowledge management platform interface that allows AI models to interact with the SourceSync.ai platform through the MCP protocol.

This project demonstrates how to build a remote MCP server on Cloudflare Workers, includes OAuth login functionality, and supports connection and invocation through the MCP checker and Claude desktop application.

The Wrike MCP server is a lightweight implementation used to connect the Wrike project management platform with language learning models (LLMs), providing API interfaces for task querying, comment adding, task creation, etc.

A service that converts Bruno API collections into MCP tools, enabling seamless integration between APIs and AI agents

The Advanced Hasura GraphQL MCP Server provides a dynamic interaction interface for AI agents

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.

A comprehensive TypeScript integration project for the Buttondown email service, providing CLI, MCP services, and programming APIs, supporting email management, scheduling, and data analysis.

A Python-based chat workflow engine that integrates FastAPI, CLI, and Google ADK for unified AI Q&A processes and extended functionality

MCP Link is an automated tool that can convert any API conforming to the OpenAPI V3 specification into an MCP server, enabling existing RESTful APIs to be seamlessly integrated into an AI-driven application ecosystem.

The Radare2 MCP Server is a middleware service for integrating the radare2 binary analysis tool with AI assistants (such as Claude).

An Excel file reading and writing service based on the Spring AI MCP framework, supporting integration with large language models for dynamic interaction

Story MCP Hub is a central hub for centrally managing the Model Context Protocol (MCP) services of Story Protocol, providing a unified environment for the interaction between AI agents and the Story Protocol ecosystem.

Armor Crypto MCP is a tool designed for the integration of AI agents and the cryptocurrency ecosystem, supporting functions such as wallet management, trading, and cross - chain operations. It is currently in the Alpha testing phase.

This project demonstrates how to build a remote MCP server on Cloudflare Workers, including OAuth login functionality, and supports connecting and invoking tool services through the MCP Inspector and Claude desktop client.

Godot MCP is a Model Context Protocol server designed for the Godot game engine, providing interaction functions with the Godot editor and projects.

DexPaprika MCP is a server that provides API access to cryptocurrency and DEX data for AI assistants (such as Claude). Real-time data can be obtained without configuration.

The YaraFlux MCP Server is a threat analysis server based on YARA rules, which provides file scanning and rule management functions for AI assistants through the Model Context Protocol (MCP).

The Shaka Packager MCP Server is an experimental project that integrates the Shaka Packager video processing tool with the Claude AI application, providing video transcoding, encapsulation, and analysis functions. It works with the file system server via the MCP protocol, enabling Claude to access and process local video files.

The mcp-server-suite is an open-source collection of MCP servers, aiming to become the 'HuggingFace' in the field of automation. It provides modular server components, supporting various functions from web searches to database operations, and encourages community contributions for expansion. The project includes core servers and various planned professional services, covering AI/ML, software development, and non-technical scenarios. The goal is to simplify the automation process through a standardized protocol.

SketchupMCP connects Sketchup with Claude AI through the Model Context Protocol (MCP) to achieve bidirectional communication and 3D modeling control.