EDT MCP Server is an MCP protocol server plugin for 1C:EDT, allowing AI assistants (such as Claude, GitHub Copilot, Cursor, etc.) to interact with the EDT workspace, providing functions such as project information query, error reporting, code analysis, metadata management, application debugging, tagging and grouping, and visual form screenshots.

An MCP server that enables AI assistants to interact with the Ulysses writing app on macOS through the x - callback - url API, providing functions such as document creation, content management, navigation, and metadata operations.

The bioRxiv MCP Server provides a bridge for AI assistants to access the bioRxiv pre - print library, supporting functions such as paper search and metadata retrieval, and facilitating biological scientific research.

The MCP server of MetaTrader 5 enables interaction between AI assistants and the MT5 platform, supporting trading and market data analysis functions.

The bioRxiv MCP Server is a bridge connecting AI assistants with the bioRxiv preprint library, enabling the search for biological preprints and access to metadata through the MCP protocol.

SearXNG MCP is a model context protocol server based on the SearXNG privacy-protecting metasearch engine, providing web search functionality for AI assistants. It supports zero-configuration use of public instances or connection to private instances, with features such as customizable search parameters, multi-search engine support, and privacy-first.

An MCP server developed based on Swift, providing AI assistants with read - only access to the macOS photo library. It realizes photo browsing, searching, and metadata query functions through the PhotoKit framework.

The Metabase AI assistant is an AI-driven tool that connects Claude Desktop/Code with Metabase and PostgreSQL databases through the Model Context Protocol (MCP), supporting natural language to generate SQL queries, create data models, and dashboards.

Google Scholar MCP Server is an interface service that provides AI assistants with access to academic papers on Google Scholar through the Model Context Protocol (MCP). It supports keyword search, advanced retrieval, and author information query functions to help AI models retrieve academic paper metadata.

The Meta API MCP Server is a multi - API gateway server that connects various APIs with large - language models (such as Claude, GPT, etc.) through the Model Context Protocol (MCP), enabling AI assistants to directly interact with APIs and access real data sources. It supports quickly adding APIs from JSON configuration files or Postman collections, and provides comprehensive support for HTTP methods and multiple authentication methods.

A TypeScript - based MCP server that integrates with the Metabase API, allowing AI assistants to access dashboards, questions, and database resources in Metabase and providing functions such as query execution.

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.

The Xano MCP Server is a server based on the Model Context Protocol, used to interact with the Xano metadata API and provide database management tools for AI assistants.

Dynamoi is a platform that manages music promotion and YouTube growth advertising campaigns through AI assistants, providing automated Meta and Google ad placements, no agency fees or contract restrictions, and full conversion of subscription fees into advertising credits.

An MCP server that connects AI assistants with the Metabase analytics platform, providing functions such as data query and dashboard access, and supporting two authentication methods.

The medRxiv MCP Server is a bridge tool connecting AI assistants and the medRxiv preprint library, enabling functions such as searching for preprints, retrieving metadata, and accessing content in the field of health science through the Model Context Protocol (MCP). It supports local storage and paper analysis prompts.

The bioRxiv MCP Server is a bridge connecting AI assistants to the bioRxiv preprint library, enabling the search for biological preprints and access to metadata through the MCP protocol.

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.

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.

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.

HackerMCP is a module designed for AI assistants to access and utilize common penetration testing and security tools such as Nmap and Metasploit Framework, providing a simple interface to enhance the security testing capabilities of AI systems.

The medRxiv MCP Server is a bridge connecting AI assistants to the medRxiv preprint library, providing functions for searching, obtaining metadata, and accessing content of health science preprints via the Model Context Protocol (MCP).

The Crossref MCP Server is a bridge service that provides academic paper metadata search for AI assistants through the Model Context Protocol (MCP). It supports retrieving information on academic literatures, journals, and funding institutions in the Crossref database by DOI, title, or keywords.

PyPI MCP Server is a middleware that provides PyPI package information query services for AI assistants. It enables functions such as searching for Python packages, accessing metadata, viewing version history, and getting download statistics through the MCP protocol.

This project is a registry for Model Control Protocol (MCP) servers, providing various MCP services for AI assistants like Claude, including 3D graphics interaction, GitHub integration, real - time documentation lookup, and AI metacognition tools.

This is an MCP server that connects AI assistants with the Metabase analytics platform, providing functions such as data access, dashboard management, and query execution. It supports two authentication methods, facilitating direct interaction between AI and the data analytics platform.