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Model Context Protocol servers - tools, resources, and prompts for Claude and other AI assistants.
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Showing 24 of 3927 MCP tools
MCP server for AI agent for cybersecurity: automate assessment of documents, questionnaires & reports. Multi-format parsing, RAG knowledge base,Risks, compliance gaps, remediations.
MCP server for AI agent for cybersecurity: automate assessment of documents, questionnaires & reports. Multi-format parsing, RAG knowledge base,Risks, compliance gaps, remediations.
UML-MCP Server is a UML diagram generation tool based on MCP (Model Context Protocol), which can help users generate various types of UML diagrams through natural language description or directly writing PlantUML and Mermaid and Kroki https://uml-mcp.vercel.app/docs
Model Context Protocol Server for YouTrack - Multi-platform support (ARM64/Apple Silicon + AMD64) with comprehensive API integration
aivectormemory 是一款基于 Model Context Protocol (MCP) 开发的OpenClaw、OpenCode、ClaudeCodeAI记忆管理工具。它专门为 Claude、OpenCode、Cursor 和 主流IDE 编程工具设计，通过向量数据库技术解决 AI 在不同对话会话中「健忘」的问题。aivectormemory: A lightweight MCP Server enabling persistent, cross-session memory for AI-powered IDEs via vector search.
TrainingPeaks MCP server for Claude Desktop, Code and Cowork. No API approval needed - works with any account. Query workouts, CTL/ATL/TSB fitness data, power PRs via natural language.
職人 Shokunin 62 AI agent skills for OpenCode, Claude Code, Cursor, Windsurf. ChromaDB memory, MCP servers, declarative self-updates. Multi-model, open source, zero cost.
One MCP endpoint connects your TYPO3 site to Claude, Cursor, n8n, and any AI tool — safely through workspaces.
Claude Code extension manager — MCP servers, plugins (skills, hooks, agents), and marketplaces
A system monitoring tool that exposes system metrics via the Model Context Protocol (MCP). This tool allows LLMs to retrieve real-time system information through an MCP-compatible interface.
14-agent orchestration harness for Claude Code — pure config, no runtime, no wrapper
List MCP Server configurations in your system used by AI applications like Cursor, Claude Desktop, VS Code and others
10 Claude sessions running. What are they doing? Live dashboard — monitor, cost tracking, search, sub-agent visibility.
AI-powered biologics design campaign agent — multi-agent orchestration with BoltzGen, PXDesign, Protenix, and 200+ cloud tools. Antibodies, nanobodies, de novo binders, and beyond.
Define task-specific AI sub-agents in Markdown for any MCP-compatible tool.
Self-correcting learning engine for Claude Code — persistent identity, behavioral pattern tracking, and cross-session memory
Provider-neutral multi-agent control plane for coding agents. Route runtimes, scope MCP tools, run DAG workers, verify evidence, and replay agent runs from the omk CLI.
The first AI plugin that speaks first. Code-enforced learning + active forgetting + PAC (Proactive Accountability Challenge). Works with Claude Code, Gemini CLI, Hermes, OpenClaw.
The open source security engine for AI agent and supply-chain trust.
Travel MCP server + CLI for AI assistants — flights, hotels, trains, cars, ferries, price alerts. No API keys, single Go binary. 1 smart MCP tool + 66 aliases (98.9% smaller tools/list). Works with Claude, Cursor, Windsurf, Codex.
This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.
An MCP (Model Context Protocol) server that turns all pybag Windows debugger functions into native MCP tools. It lets MCP-compatible clients (Claude Desktop, Claude Code, Cowork, OpenAI Codex CLI, Cursor, and custom agents) control user-mode processes, kernel sessions, and crash dump analysis via structured JSON calls.
The most comprehensive free Claude Code course — 16 phases, 55 modules, EN + VI 🚀
The most accurate and comprehensive Context Engine as a service, optimized for large codebases, powered by advanced GraphRAG and accessible via MCP. It enriches the context for AI agents like Codex, Claude Code, Cursor, etc., making them 35% more efficient and up to 84% faster.