MCP Servers
63,071 MCP servers for AI apps. Filter by category, badge and popularity.
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This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
The Apify MCP server enables your AI agents to extract data from social media, search engines, maps, e-commerce sites, or any other website using thousands of ready-made scrapers, crawlers, and automation tools available on the Apify Store.
Grist is a flexible spreadsheet-database. The Grist MCP server lets agents work across your team sites and documents: list and query records, add or update rows, create new docs and tables. Universal URL with OAuth 2.0. Works in Claude, ChatGPT, and any MCP client that supports r
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
