# AI Integration

The TomTom MCP Server is a tool that simplifies geospatial development, providing seamless access to TomTom's location services, including search, route planning, traffic, and static map data, making it easy to integrate accurate location data into AI workflows and development environments.

iMCP is a macOS application that connects users' digital lives through AI. It supports interaction with clients such as Claude Desktop via the Model Context Protocol (MCP), providing various functions including calendar, contacts, location, maps, messages, reminders, and weather.

Cycode CLI is a locally installed application used to scan code repositories for security vulnerabilities, including sensitive information leakage, Infrastructure as Code misconfigurations, Software Composition Analysis vulnerabilities, and Static Application Security Testing issues. This tool supports multiple scan types, such as repository scanning, path scanning, and commit history scanning, and provides an ignore rule function to exclude specific results.

The implementation of the PostgreSQL MCP Server allows Claude AI to directly interact with the PostgreSQL database, supporting data storage, query, and management operations.

This project uses Spring AI and the MCP protocol to achieve natural language control of the mBot2 robot. It includes a Spring Boot application, an MQTT message queue, and a Python script on the robot side, supporting AI calls for instructions such as exploration and turning.

This project implements an MCP server for Brave Search, supporting integration with AI assistants such as Claude and providing web and local search functions.

The Freelo MCP Server is an unofficial community project that provides a proxy server based on the Model Context Protocol (MCP) for the Freelo API, enabling communication with the Freelo API and supporting integration into AI assistants such as Cline and Claude that support the MCP protocol. The project consists of two main components: a REST API server and an MCP server, and supports functions such as project management, task management, and file management.

Payman AI Documentation MCP Server, providing convenient document access and integration support for developers

A security analysis MCP server integrating OSV.dev and an AI model to detect code vulnerabilities and provide security suggestions.

A server that downloads YouTube subtitles via yt-dlp and processes them by connecting to Claude.ai through the MCP protocol

A DataHub server implementing the Model Context Protocol, enabling AI agents to query metadata and context in the data ecosystem.

MCP Solver is a server that exposes SAT, SMT, and constraint - solving capabilities to large language models through the Model Context Protocol (MCP).

An MCP server for integrating Microsoft Bing Search API, supporting web page, news, and image search functions, providing network search capabilities for AI assistants.

Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.

RealVest's MCP Server provides 31 professional real estate investment calculators and educational resources, enabling AI assistants to directly access professional - level real estate analysis functions. It is suitable for integration into AI assistants such as Claude.

A TypeScript-based WordPress Model Context Protocol (MCP) server that provides a standardized interface for AI systems to achieve secure and programmatic interaction with WordPress sites via JSON-RPC 2.0.

AndroidTVMCP is a service that integrates Android TV remote control functionality with the Model Context Protocol (MCP), providing TV control capabilities for AI assistants.

The Maccy Clipboard MCP Server is a service tool that exposes Maccy's clipboard history to AI assistants such as Claude. It supports searching, viewing, and managing clipboard content, including image support and data statistics functions. However, be aware of the risk of sensitive data leakage.

An MCP server based on Go language that uses OpenAI's DALL-E API to generate images from text descriptions and can be integrated with large language models such as Claude.

An MCP server based on Cloudflare Worker, providing the ability to generate images through the Flux model

The Neo4j MCP project connects LLMs with external systems through a standardized protocol to enable natural - language operation of Neo4j databases, knowledge graph storage, and Aura cloud service management.

This project implements two types of MCP protocol servers: the Echo Server for testing and the Browser-use Server based on browser automation tools, supporting LangChain integration and interaction with OpenAI.

This project demonstrates a JSON document collection server based on the Fireproof database and the Model Context Protocol, supporting multi-database creation, CRUD operations, field sorting queries, and synchronization with the Fireproof cloud service. It is suitable for data integration in AI systems such as Claude Desktop.

The StarRocks MCP Server is a bridge connecting AI assistants with StarRocks databases, supporting direct SQL query execution and database exploration without complex configuration.

The MySQL Query MCP Server is a tool that provides read-only MySQL database query services for AI assistants. It supports multiple environment configurations and secure connections, helping developers explore and analyze database data through AI tools.

An EigenLayer MCP service based on Next.js that provides document support for AI assistants and can be run locally or deployed to Vercel

An MCP server project that supports interaction between AI assistants and the macOS version of the ChatGPT desktop application, enabling cross - application command sending and response retrieval.

A Locust load test server implementation based on the Model Context Protocol, supporting AI development environment integration

The YepCode MCP Server is a server implementing the Model Context Protocol. It can transform YepCode processes into AI tools, supports remote and local deployment, and provides functions such as code execution, environment management, and process execution.

The SEO Review Tools MCP Server provides advanced SEO data integration for applications and AI agents through the Model Context Protocol (MCP), supporting natural language interaction to access massive SEO data endpoints.