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.

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 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.

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.

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

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.

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.

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.

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

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.

AnalyticDB for MySQL MCP Server is a general interface service that connects AI agents with AnalyticDB for MySQL databases, supporting metadata retrieval and SQL operation execution.

A database MCP server based on Spring Boot and Spring AI, providing multi - database connection and operation capabilities for AI applications, supporting secure data query, write operations, and metadata management.

An MCP server based on the xAI Grok API, providing AI image analysis functions, supporting image description, metadata extraction, and OCR text recognition for URLs and local files.

Hologres MCP Server is a general interface service that connects AI agents with the Hologres database. It supports multiple communication modes and provides functions such as database metadata access, SQL execution, and statistical management.

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 glif - mcp - server is an MCP server for running AI workflows, supporting the management and running of glifs and robot tools from glif.app, and providing rich metadata access functions.

This is an MCP server for the IBM FileNet content manager, providing a standardized interface for AI models and supporting functions such as document management, folder operations, metadata query, and search.

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 PowerPlatform MCP server is a tool that provides intelligent access to PowerPlatform/Dataverse entities and records, supporting metadata exploration, relationship mapping, and AI - assisted query building.

A LangGraph - based agent tool that helps users generate images through AI and register them as IP assets on the Story blockchain, including the entire processes of image generation, IPFS upload, metadata creation, license terms negotiation, and blockchain registration.

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

The Blockscout MCP Server is an open - source service based on the Model Context Protocol (MCP), aiming to provide structured blockchain data access for AI agents, IDEs, and automation tools. It encapsulates the Blockscout API, supports multi - chain queries, including balances, tokens, NFTs, and contract metadata, and enables tools such as Claude and Cursor to analyze and utilize this data through context - aware APIs.

MCP-GetWeb is a protocol server that provides web search and content extraction functions, supporting multiple search engines such as DuckDuckGo, Google, and Felo AI, and can crawl URL content, extract metadata, and convert it into Markdown format.

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.

A Blazor component metadata server based on the Model Context Protocol that analyzes Blazor components in assemblies through reflection and provides real - time component information query services for AI development tools.

Agentify Components is a framework for adding semantic metadata to React components, enabling AI systems and automation tools to understand component functions. It adds standardized descriptions to components through decorators and generates MCP server configurations to enable interaction between components and AI models.

The AIStor MCP server is a service based on the Model Context Protocol (MCP) for interacting with AIStor object storage. It supports various operations, including reading, writing, deleting, and management functions, such as listing buckets and objects, getting metadata, creating presigned URLs, and using AI to describe object content. It has flexible configuration and can enable operations at different permission levels through flags.

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.

A GitHub repository creation tool based on the Model Context Protocol (MCP) that provides the functions of automatically analyzing local code repositories, generating metadata, and creating well-configured GitHub repositories, and supports integration with AI tools such as Copilot.

og-mcp is an MCP server that provides AI agents with all the functions of the OpenGraph.io API, including web page metadata extraction, content scraping, screenshot, and AI image generation, and allows secure access through the standard MCP interface without exposing API keys.

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.

AnalyticDB for MySQL MCP Server is a universal interface service that connects AI agents and AnalyticDB for MySQL databases, supporting metadata retrieval and SQL operation execution.

The LangChain MCP server provides seamless access to the LangSmith prompt library, containing over 1000 community-verified AI prompts, supporting advanced search, metadata viewing, and version control, and is compatible with multiple MCP clients.

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 PDF Reader MCP service provides AI agents with the ability to securely read the content (text, metadata, page count) of PDF files, supports local and remote PDF files, and is easy to integrate into the MCP environment.

PG-MCP is a model context protocol server designed for PostgreSQL databases. It provides APIs for AI agents to connect to, query, and understand databases, and supports multiple database connections, rich metadata extraction, and query analysis functions.

Hologres MCP Server is a universal interface that connects AI agents and the Hologres database, supporting metadata retrieval and SQL operation execution.