Model Context Protocol
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A Model Context Protocol server that provides web content fetching capabilities. This server enables LLMs to retrieve and process content from web pages, converting HTML to markdown for easier consumption.
A Model Context Protocol (MCP) server that enables free web searching using Google search results, with no API keys required.
A Model Context Protocol server for Zotero integration that allows Claude to interact with your Zotero library.
Native integration with Anthropic's Model Context Protocol. Allows you to interact with your database and subscribed data shares using natural language.
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A Model Context Protocol server for searching and analyzing arXiv papers
Native integration with Anthropic's Model Context Protocol. Allows you to interact with your database and subscribed data shares using natural language.
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
A Model Context Protocol server that provides web content fetching capabilities. This server enables LLMs to retrieve and process content from web pages, converting HTML to markdown for easier consumption.
A Model Context Protocol (MCP) server that provides tools for fetching information from Hacker News.
A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.
A Model Context Protocol (MCP) server that lets you seamlessly use OpenAI's models right from Claude.
MCP server for searching and querying PubMed medical papers/research database
A Model Context Protocol server for Zotero integration that allows Claude to interact with your Zotero library.
Understanding Model Context Protocol (MCP)
Model Context Protocol (MCP) is a groundbreaking open-source protocol developed by Anthropic that revolutionizes how AI systems interact with external data sources. As the foundation for next-generation AI interactions, MCP enables AI assistants like Claude to establish secure and standardized connections with various data sources and tools.
Key Features of MCP
- Universal Standard: Provides a unified framework for AI systems to access external data, tools, and prompts
- Client-Server Architecture: Implements a robust and scalable architecture for seamless AI interactions
- Security-First Design: Ensures secure data transmission and access control between AI systems and data sources
- Tool Integration: Enables AI assistants to interact with various external tools and services
- Standardized Communication: Establishes consistent protocols for data exchange and interaction patterns
Benefits for AI Development
MCP represents a significant advancement in AI infrastructure, offering developers and organizations a standardized way to build and deploy AI applications. By providing a common protocol, MCP reduces implementation complexity and ensures compatibility across different AI systems and data sources.
Whether you're developing AI applications, managing data infrastructure, or implementing AI solutions, MCP provides the foundation for secure, efficient, and standardized AI interactions. Explore our directory to find MCP servers that match your specific needs and requirements.