An MCP server that provides shadcn/ui component integration for AI workflows, supporting React, Svelte, and Vue frameworks. It includes functions for accessing component source code, examples, and metadata.

Jinni is an efficient tool for providing project context to large language models. It overcomes the limitations of reading files one by one by integrating relevant files and their metadata.

MetaMCP is a proxy server for integrating and managing multiple MCP servers, providing unified tool/prompt/resource configuration and request routing functions.

The arXiv MCP Server is a service based on the Model Context Protocol (MCP) that allows users to interact with the arXiv API using natural language, enabling functions such as retrieving academic article metadata, downloading PDF files, searching the database, and loading articles into the context of a large - language model (LLM).

A meta - function architecture server that supports AI to dynamically create and execute custom tools

The Meta Prompt MCP project simulates a multi - agent collaboration system through a single language model, realizing task decomposition and expert consultation functions, and simplifying the process of solving complex problems.

An MCP server for searching arXiv academic papers, providing paper retrieval, metadata access, and result sorting and pagination functions.

The PDF Reader MCP service provides AI agents with a secure and flexible function to extract content from PDF files, including text, metadata, and page count information. It supports local and remote PDF files and is easy to integrate into the MCP environment.

DARPEngine is a search engine that provides metadata storage and intelligent search functions for MCP servers, supporting CLI, API access, and MCP tool integration.

An MCP server based on TypeScript that provides Gyazo image integration services, supporting image search, retrieval, upload, and metadata access functions.

A production-ready remote MCP server for running full-stack SEO audits via compatible clients (e.g., Claude Desktop, Cursor, or Windsurf). Provides structured insights covering page SEO, technical health, and social metadata without local setup.

Provides a read-only MCP service for MySQL and PostgreSQL databases, supporting functions such as metadata query, schema analysis, and visualization.

The Kaltura MCP server is a service that implements the Model Context Protocol (MCP), providing AI models with standardized interaction capabilities with the Kaltura media management system, including media upload, metadata management, classification, and user management.

Hologres MCP Server is a general interface between AI agents and Hologres databases, supporting metadata queries and SQL operations.

A meta search MCP server based on the Tavily API, used to perform searches and return results in Claude Desktop or Cursor.

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 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 project is an MCP server for the Metasploit framework, providing a bridge between large - language models (such as Claude) and the Metasploit penetration testing platform, and supporting the control of complex security testing workflows through a natural language interface.

OpenManus is an open-source project that allows users to realize various ideas without an invitation code. It was built by members of the MetaGPT team in 3 hours. It provides a simple implementation that allows users to create their own intelligent agents and supports multiple languages and configurations. The project welcomes suggestions, contributions, and feedback. Future plans include better planning, real-time demonstrations, playback functions, RL fine-tuning models, and comprehensive benchmarking.

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

Vibe Check MCP is a server that provides metacognitive supervision for AI agents. Through pattern interruptions, plan simplification, and self - learning feedback loops, it prevents AI from falling into error paths or over - designing solutions in complex tasks.

An AI-driven MCP server that automatically connects to the Malware Bazaar platform, providing real-time threat intelligence and malware sample metadata for authorized network security research.

An MCP server for Obsidian integration, providing functions for accessing vault contents, retrieving metadata, and API integration.

This project is a USPTO patent data access server based on FastMCP. It supports accessing patent and patent application data from the United States Patent and Trademark Office through the Patent Public Search API and the Open Data Portal API, providing patent search, full - text retrieval, PDF download, and metadata query functions for MCP clients such as Claude Desktop.

A model context protocol server based on LanceDB, providing functions such as vector storage, similarity search, and metadata management

VGGT-MPS is a 3D vision reconstruction tool optimized for Apple chips, accelerated by Metal Performance Shaders. It can generate depth maps, camera poses, and 3D point clouds from single or multiple images, and supports sparse attention for city-level reconstruction.

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.

An MCP server that provides access to scientific papers via the arXiv API, supporting functions such as searching, obtaining paper metadata, and abstracts.

The Salesforce MCP Server is a protocol server implementation for interacting with Salesforce via REST API, providing functions such as data query, metadata retrieval, and record operations.

dicom-mcp is a DICOM-based model context protocol server that provides tools for large language models to query and interact with medical imaging metadata. It supports the retrieval of patient information, examinations, series, and instances, as well as the extraction of text from DICOM-encapsulated PDFs.

Salesforce MCP server implementation, integrating Claude AI for natural language interaction, supporting querying, modifying, and managing Salesforce data and metadata.

The MetaTool MCP Server is a proxy server used to connect multiple MCP servers and forward tool calls to the appropriate servers. It is used in conjunction with the metatool-app to provide GUI tool management functions. The project is deprecated, and the Node.js alternative version is recommended.

Digimon Engine is an open - source multi - agent, multi - player game framework focusing on AI - native game and intelligent metaverse development. It supports social and financial AI agents, provides an immersive game experience, and is committed to building an AI agent environment similar to that in 'Westworld'.

The Twelve Data MCP Server is a financial data service integrated with the Twelve Data API, providing functions for querying historical data, real-time quotes, and metadata of stocks, foreign exchange, and cryptocurrencies.

Meta MCP Server is a meta-server that can create other MCP servers, providing dynamic server generation and automated file management functions.

Meta Ads MCP is a server based on the Model Context Protocol, used to interact with the Meta Advertising API through a standardized interface, enabling AI models to access, analyze, and manage Meta advertising campaigns, including obtaining performance data, visualizing advertising creativity, and providing strategic suggestions.

The Advanced Reasoning MCP Server is a self - contained server based on the sequential thinking mode, with advanced cognitive functions such as meta - cognitive assessment, hypothesis testing, integrated memory libraries, and structured data storage. It supports a dual - storage architecture (graph - based memory and document storage) and enhanced visualization.

The task portal system is a self - evolving general problem - solving institution with core components such as logical reasoning, ethical framework, sequential thinking, and meta - framework, which can safely self - evolve and solve complex problems.

MCP - Creator - MCP is a meta - MCP service that simplifies the creation of MCP servers through AI - guided workflows and intelligent templates, aiming to quickly transform vague ideas into production - ready servers.

An MCP service that provides NPM package documentation and metadata query, supporting local caching to improve performance.