MCP Servers
67,002 MCP servers for AI apps. Filter by category, badge and popularity.
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Tiny TODO MCP is a specialized server that implements the Model Context Protocol (MCP), allowing AI assistants to interact with persistent storage for tasks. This enables AI models to maintain context over time and create and manage tasks beyond their usual context limitations.
Yusense Data API service is now fully compatible with the MCP protocol to create data service MCP servers. The usensedata-mcp-server-query-china-company project is a server for enterprise data query services. Users can quickly use Yusense Data enterprise data services via LLMs with simple configuration. It depends on the MCP TypeScript SDK and can be quickly integrated into AI assistants that support the MCP protocol
A collection of standalone Python scripts that implement Model Context Protocol (MCP) servers for various utility functions. Each server provides specialized tools that can be used by AI assistants or other applications that support the MCP protocol.
A high-performance Model Context Protocol (MCP) server for math-ing whilst vibing with LLMs. Built with Polars, Pandas, NumPy, SciPy, and SymPy for optimal calculation speed and comprehensive mathematical capabilities from basic arithmetic to advanced calculus and linear algebra.
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.
