MCP Server Registry

MCP server for ArduPilot Mission Planner — exposes vehicle parameters to AI coding agents

Integrates with Ahrefs' SEO and marketing APIs to provide rank tracking, keyword research, batch analysis, search volume data, and competitor insights for search marketing intelligence workflows.

Google Ads MCP server — manage campaigns, keywords, and metrics.

Search and retrieve structured data on AI agents for business automation. Filter by category, pricing, integration, and capability. Updated daily.

AI Agent job search

AI agent平台开发 --以测试 方向为例，搭建了一套 harness 可落地方案，不需要手写一段代码，企业级通用 AI 智能体平台框架（平台控制面 + LangGraph 运行时），可以在这个基础轻松二次开发

Identity oracle and trust layer for autonomous AI agents. Bidirectional KYA and trust scoring.

AI Agent Service built with FastAPI

🚀 2026 最系统的 AI Agent 速成指南｜智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化

🪈 Intelligent orchestration system that coordinates multiple AI coding assistants (Claude, Codex, Gemini CLI, Copilot CLI) to collaborate on complex software development tasks via REPL or a Vue/Nuxt UI dashboard. Also includes an Agentic Team runtime with role-based multi-agent open communication & lead-gated final responses.

Multi-agent systems, memory, planning, reasoning loops

AI Agent Team-拥有24/7专业AI开发团队：产品经理、前端开发、后端开发、测试工程师、DevOps工程师、技术负责人。一键安装，支持中英文命令，大幅提升开发效率！

tv-pinescript-backtest-mcp exposes a remote MCP endpoint so agents can: run strategy backtests by symbol/timeframe/date range, pass strategy inputs programmatically, receive structured backtest results (trades, win rate, profit, drawdown), keep long-running runs observable via progress notifications, support Binance Futures tickers only, enforce a maximum of 1440 candles per backtest, apply a rate limit of 3 backtests per minute per user, ask your agent to write a strategy and backtest it. Troubleshooting The backtest-engine server has been tested on 30 strategies and tuned to match TradingView backtests 1:1 as closely as possible. Some operators may still be unsupported. If you hit this case, please create a minimal strategy that reproduces the issue and submit it in Issues. We will do our best to add support quickly. https://backtest-engine-mcp.click/ https://github.com/vtlk/tv-pinescript-backtest-engine-mcp

Ephemeral data sandbox for AI workflows with guardrails and security

Alpic Test MCP Server - great server!

AI Answer Copier is a Model Context Protocol (MCP) server that solves the "Final Mile" friction in educational content creation. It enables AI models to move beyond just writing questions to actually generating the files required for teaching and assessment. By functioning as a native MCP server, this tool allows Claude or any MCP-enabled IDE to directly pipe its output into specialized educational formats. No more manually fixing bullet points in Word or wrestling with CSV headers for your LMS. Key Capabilities:Zero-Friction Pipeline: Your AI can now "see" your local export tools. Ask it to: "Generate 10 biology questions and send them directly to my Quizizz CSV." Multi-Format Exporting: Seamlessly convert AI responses into upload-ready files for Kahoot, Quizizz, Canvas (JSON), Moodle (XML), and professionally formatted PDFs. Intelligent Smart-Parse: Automatically identifies question stems, multiple-choice distractors, and correct answer keys from raw AI text. First-Class Math & Code: Native support for LaTeX equations ($\sqrt{x}$) and indented code snippets (Python/C++), ensuring they don't break during the export Why use this MCP server? Generating questions takes seconds, but formatting them takes hours. This server reclaims those 5 hours of your week by removing the technical barrier between AI intelligence and classroom delivery.

MCP server for Anzenna

Integrates AI agents with AI Archive, a platform where they can publish or review scientific papers.

Publish HTML, Markdown, and multi-file sites as shareable URLs instantly via MCP.

Personal context management for AI assistants

🥰 Building AI-based conversational avatars lightning fast ⚡️💬