# AI integration

An MCP server implementation based on Spring Boot and Spring AI, enabling AI agents to search and navigate files and folders in Microsoft OneDrive.

A desktop application for managing MCP servers, supporting integration with AI tools such as Claude and Cursor, and providing functions such as server import, environment variable configuration, and real - time monitoring.

MCP Linear is a Model Context Protocol server that implements the Linear GraphQL API, enabling AI assistants to interact with the Linear project management tool.

A server implementing the MCP protocol for integrating Deepseek models in Claude Desktop

The Linear MCP Server is a server that implements the Model Context Protocol, used to connect AI assistants to the GraphQL API of the Linear project management system, providing functions such as issue tracking and project management.

A server tool for AI assistants to directly manage Render.com services through the MCP protocol

The Crawl4AI MCP Server is a Python-based web crawler project that integrates Playwright browser automation, the DuckDuckGo search engine, and the MCP protocol SDK for intelligent web data collection.

The ASR MCP server is an automatic speech recognition service based on the Whisper engine, providing the speech synthesis function through the MCP tool for easy application integration.

Fastly MCP is a tool that integrates Fastly API features into AI assistants through the Model Context Protocol (MCP), allowing users to manage CDN services, caches, security configurations, etc. through natural language instructions while ensuring the security of API keys.

This project implements an MCP protocol server, serving as a bridge between Claude AI and Prometheus Alertmanager. It provides functions such as alarm query and silence management, and supports interaction with the alarm system through natural language.

Chatterbox MCP Server is a personal - use server based on the Model Context Protocol (MCP), used to connect applications and AI models, supporting WhatsApp integration and dynamic resource management.

A Jira connection tool based on the Go language, supporting AI assistants to interact with Jira through the MCP protocol to achieve functions such as issue management and workflow operations.

The MCP Web Search Tool is a server tool that provides real-time web search capabilities for AI assistants. It supports pluggable search engine integration and currently mainly uses the Brave Search API.

An MCP server implementation based on the MySSL API that provides domain name and IP security check functions and supports integration with AI clients.

The Backlog MCP Server is a middleware service that enables AI agents to interact with the Backlog API, supporting various functions such as project management, issue tracking, and Wiki editing.

WhatsApp Web MCP is a bridging project that connects WhatsApp Web with AI models. It provides a standardized interface through the Model Context Protocol (MCP) and supports automating and enhancing the WhatsApp interaction function.

MCPXcode is an open - source project that implements the Model Context Protocol (MCP) specification, providing a structured protocol between Xcode and AI assistants for context exchange and tool execution.

Gossiphs is a zero-configuration, high-performance general code file relationship analysis tool that supports multiple programming languages. It is based on tree-sitter and git analysis, provides support for Python SDK and MCP protocol, and is convenient for integration with AI.

A Postman-based AI tool generation server that can convert Postman collections into type-safe code and support the integration of multiple AI frameworks.

An MCP protocol server that integrates AI agents with MagicPod

The Model Context Protocol (MCP) TypeScript SDK is a development toolkit for building standardized LLM context services. It supports creating resources, tools, and prompt templates and interacts with LLM applications through multiple transmission methods.

The OpsLevel MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI to interact with OpsLevel accounts and provides read-only access to various resources.

This project provides a Python - based MCP server for integrating OSV (open - source vulnerability) data with AI assistants or large - language models, and exposes tools and resources through the MCP protocol to enhance the workflows and capabilities of LLMs.

An MCP Server connected to the Tesla Fleet API that allows controlling Tesla vehicles via AI assistants like Claude

This project implements a server based on the MCP protocol, serving as an interface between AI agents and the VAST database, providing secure read-only query and data access functions.

The Browserbase MCP Server is an open - source project based on the Model Context Protocol (MCP), providing cloud browser automation services and supporting functions such as web page interaction, data extraction, and JavaScript execution.

A flexible MCP server based on Probe for making documents or codebases searchable by AI assistants.

The Azure DevOps MCP Server is a tool for interacting with Azure DevOps services through an AI assistant. It uses an entity - based architecture to organize operations, providing enhanced error handling, pagination functions, and detailed documentation.

The n8n MCP server is a service based on the Model Context Protocol that allows direct management of n8n workflows through AI agents, providing functions such as workflow listing, execution, and monitoring.

The Supabase MCP server is a tool based on the Model Context Protocol (MCP) that provides a standard interface for AI assistants to interact with Supabase databases, supporting database operations such as create, read, update, and delete.