# AI integration

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.

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

The 302AI Custom MCP Server is a customizable multi - functional tool platform that supports flexible configuration of different API tools, is compatible with multiple clients, and provides a one - stop AI service solution.

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.

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.

An MCP protocol server that integrates AI agents with MagicPod

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.

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

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.

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 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.

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

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.

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

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.

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.

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.

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.

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

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.

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.

DeepClaude MCP is a server application that integrates the capabilities of DeepSeek and Claude AI, providing more powerful AI response services through the collaboration of two models.

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.

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.

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

The Supabase MCP Server is a tool that connects Supabase projects with AI assistants. It standardizes the interaction between large language models (LLMs) and external services through the Model Context Protocol (MCP), enabling functions such as database management, configuration acquisition, and data querying.

IDA Pro MCP Server is a plugin that enables remote interaction between AI assistants and IDA Pro through the Model Context Protocol interface, supporting binary analysis tasks such as disassembly, pseudocode retrieval, and function query.

The WeRead MCP Server is a lightweight service that bridges WeRead data and AI clients, enabling in - depth interaction between reading notes and AI.

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.