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.

The Crawl4AI RAG MCP Server is an AI agent service integrating web crawler and RAG functions, supporting smart URL detection, recursive crawling, parallel processing, and vector search. It aims to provide powerful knowledge acquisition and retrieval capabilities for AI coding assistants.

The Crunchbase MCP Server is a model context protocol service that provides access to Crunchbase data, supporting AI assistants to query company information, financing data, acquisition records, and personnel information.

ngspice-mcp is an MCP protocol-based server that provides a standardized interface for AI language models to access ngspice circuit simulation capabilities, supporting operations such as circuit loading, simulation execution, and data acquisition.

Crawl4AI MCP Server is an intelligent information acquisition server based on the MCP protocol, which provides multi - engine search and optimized web content extraction functions for AI systems, and converts web pages into a format suitable for LLM processing.

The MediaCrawler MCP service upgrades the social media crawler into a standardized tool that can be directly called by AI assistants. It supports multi - platform data acquisition and has features such as externalized login, browser reuse, and structured output.

An MCP server for searching and downloading papers from multiple academic platforms (such as arXiv, PubMed, bioRxiv, etc.), supporting standardized search and acquisition tools, facilitating AI - driven research workflows.

Memgraph MCP Server is a lightweight implementation of the Model Context Protocol (MCP) server, aiming to connect the Memgraph graph database with large language models (LLMs) and provide Cypher query execution and schema information acquisition functions.

The PubMed MCP Server is an interface service based on the Model Context Protocol, providing comprehensive access to the PubMed biomedical literature database for AI agents and research tools. It supports functions such as literature search, metadata acquisition, citation analysis, research plan generation, and data visualization, and is efficiently integrated through the NCBI E - utilities API.

This is an MCP server plugin developed for Autodesk Fusion 360, enabling AI assistants to directly interact with Fusion 360 through the MCP protocol, achieving functions such as design information acquisition, element modification, and CAD task prompting.

The OpenAI WebSearch MCP Server provides web search functionality for AI assistants through the Model Context Protocol, supporting the acquisition of the latest information during conversations.

TikTok MCP is a tool that integrates TikTok access functions, providing video content analysis, subtitle acquisition, and post detail query services for applications such as Claude AI through TikNeuron.

Claude Deep Research is a research server based on the MCP protocol. It provides comprehensive research capabilities for AI assistants like Claude, integrating web and academic search functions, and supporting multi - source information acquisition, content extraction, and structured analysis.

The RISKEN MCP server is a protocol server that provides RISKEN API integration, supporting automated data acquisition, scanning, and analysis, as well as building AI tool applications.

The MCP Server is a server that provides AI assistants with the ability to perform web searches and access web pages, supporting the secure acquisition of real-time information and the processing of web page content.

A paper retrieval and content parsing tool based on arXiv, supporting intelligent search, PDF acquisition, and content parsing functions, with a special focus on the latest papers in the AI field.

PubTator MCP Server is a biomedical literature annotation and relationship mining server based on PubTator3, providing convenient literature retrieval, annotation information acquisition, and entity relationship analysis functions for AI assistants through the MCP interface.

A search service implementation based on the MCP protocol, supporting multiple search engines and providing content acquisition capabilities for AI tools.

MCP Rewatch is an MCP server used to help AI programming assistants (such as Claude Code) manage long - running development processes, solve the timeout problem caused by process blocking, and achieve asynchronous log acquisition and process restart.

The Xiaohongshu Automatic Search and Comment Tool, developed based on Playwright, supports automatic login, note search, content acquisition, and posting of AI-generated comments. It deeply integrates AI capabilities to achieve intelligent interaction.