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.

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.

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.

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.

A Polish legal document MCP server that provides comprehensive legal provision access, search, and analysis functions, supporting the acquisition of legal documents from the Polish Parliament API and AI - driven legal research.

The PubMed MCP Server is a bridging service that provides AI assistants with access to the PubMed biomedical literature library via the Model Context Protocol (MCP), supporting literature search, metadata acquisition, and in - depth analysis functions.

The Sci-Hub MCP service is a bridge connecting AI assistants with Sci-Hub's academic resources, providing functions such as paper search, metadata acquisition, and PDF download through the Model Context Protocol.

A server based on the MCP protocol that provides AI assistants with the ability to access the Shioaji trading API in the Taiwan financial market, supporting operations such as stock price query, historical data acquisition, and stock scanning.

An MCP service for controlling mobile devices via AI, providing functions such as device management, application installation, and log acquisition, supporting Android and iOS platforms.

The Monad MCP Server is an interactive server designed for the Monad blockchain, offering comprehensive DeFi tools and blockchain functions, including token acquisition, smart contract deployment, NFT generation and trading, token swap, AI trading agent, etc.

This project is a practice project for the MIT Hack decentralized AI summit, demonstrating how to quickly set up a Claude MCP protocol service on Windows. It includes two examples: a weather application and an SQLite database, which respectively demonstrate government API data acquisition and bakery inventory management functions.

PubChem MCP Server is a bridge service that connects AI assistants with the PubChem chemical database through the Model Context Protocol (MCP), providing functions such as compound search, structure acquisition, and property query.

An AI customer service support system based on the MCP protocol, integrating Cursor AI and Glama.ai to provide real-time context acquisition and intelligent response generation, supporting functions such as batch processing, priority queuing, and health monitoring.

The BCI-MCP project combines brain-computer interface technology with the model context protocol to create a powerful framework for neural signal acquisition, processing, and AI interaction.

The MCP server for YouTube video transcript extraction supports multi - language transcript acquisition, making it convenient for AI models like Claude to directly use video transcript content.

The Crossref MCP Server is a bridge service that connects AI assistants with the Crossref academic database through the Model Context Protocol (MCP), supporting the search for papers, acquisition of metadata, and information on journals and funding agencies by DOI, title, or keywords.

Flex MCP Agent is a multi - functional agent project that integrates weather data acquisition, Confluence interaction, and email sending functions, standardizing the interaction between AI models and data sources using the Model Context Protocol (MCP).

The medRxiv MCP Server is a bridge connecting AI assistants with the medRxiv preprint library, providing functions such as paper search and metadata acquisition through the MCP protocol, and supporting health science research.

A Twitter integration service based on the Model Context Protocol standard, providing comprehensive Twitter function interfaces for AI assistants, including tweet acquisition, user interaction, timeline management, and media processing.

The ClinicalTrials MCP Server is a bridging service that connects AI assistants with the clinical trial database of ClinicalTrials.gov. It provides functions such as clinical trial search, metadata acquisition, and CSV data management through the MCP protocol, supporting medical research and analysis.

A simplified MCP server specifically provides the 'think' tool for AI agents to record structured thinking processes in complex tasks without involving external state changes or information acquisition.

An MCP server based on DefiLlama, providing tools for AI agents to explore DeFi yield opportunities, including data acquisition and yield analysis functions.

This is an MCP server implementation that connects AI assistants with the Paradex perpetual contract trading platform, providing functions such as market data acquisition, account management, and order operations.

Meta Ads MCP is a tool that allows AI models to access and manage the Meta Ads API through a standardized interface, supporting the acquisition of ad data, analysis of creative content, and provision of optimization suggestions.

This is an MCP server project that provides a standardized interface for the Polymarket prediction market. It supports deployment through Docker containers and provides functions such as market data query, event information acquisition, and order book viewing, making it convenient for AI assistants to analyze prediction markets.