MCP Servers
64,188 MCP servers for AI apps. Filter by category, badge and popularity.
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The MATLAB MCP server provides AI users with powerful scientific computing and data analysis capabilities. It allows users to execute MATLAB code directly in conversations, generate MATLAB scripts from natural language descriptions, and access MATLAB documentation.
Sifter extracts structured, typed records from your documents (PDFs, scans, contracts, invoices) using a natural-language field spec, then lets an agent query and aggregate them — exact counts, sums, filters, with citations back to the source page. Unlike RAG, it answers collective questions.
A modular Python MCP (Model Context Protocol) Server for analyzing PCAP files. mcpcap enables LLMs to read and analyze network packet captures with protocol-specific analysis tools that accept local file paths or remote URLs as parameters (no file uploads - provide the path or URL).
OneKey Agent Gateway access to Commercial APIs, Skills, MCPs. Build once and ship 10× faster. For devs & builders, a unified API registry to serve and distribute across all agent formats—CLI, REST, MCP, and Skills—eliminating multiple builds. Access 30+ categories like search, image and more
AI-powered credit optimization for Manus AI. Automatically analyzes each prompt and routes to the cheapest capable model (Standard vs Max, Agent vs Chat mode). Saves 30-75% on Manus credits with zero quality loss. Tested across 53 real-world scenarios. Free and open-source.
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.
