MCP Servers
64,188 MCP servers for AI apps. Filter by category, badge and popularity.
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The first MCP server for NetLogo, the most widely used agent-based modeling platform. Lets AI assistants create models with real interface widgets, run simulations and BehaviorSpace parameter sweeps, export world views as PNG, and safely run peer-reviewed models from the CoMSES Network
Security testing MCP server with 51 tools across 19 modules. Covers SQL injection, XSS, command injection, SSRF, path traversal, PCAP forensics, memory forensics (Volatility), reconnaissance, malware analysis, CloudTrail analysis, and more. Includes 8 methodology prompts for guid
Zero-cost web search for AI agents — multi-engine parallel search, semantic re-ranking, zero API keys. Works natively within China's network, no proxy/VPN needed. Built-in pollution detection & cross-verification, SSR content extraction for modern websites. Token-conscious, ~1–2s
Wireshark packet analyzer with MCP integration. This project integrates the MCP (Message Communication Protocol) server with Wireshark to analyze and interact with network packets. The tool enables packet capture, analysis, and management using MCP while leveraging Wireshark's capabilities.
Security scanner for MCP servers. Scores any server against the AgentsID trust framework live scan via npx or lookup pre-scanned results from the public registry of 15,983 servers. Returns trust score (0–100), grade (A–F), and findings across injection, permissions, validation
Powerful MCP translation server! Designed for professional translators: three-stage translation workflow (analysis planning, accurate translation, full-text review), automatic identification of professional terminology, comprehensive translation quality assessment, support for multi-language translation, maintaining original style and professionalism. Seamless integration with AI assistants like Claude/Cursor that support MCP, bringing professional-grade AI translation.
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.
