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Production-ready AI agent orchestration platform with 66 specialized agents, 213 MCP tools, ReasoningBank learning memory, and autonomous multi-agent swarms. Built by @ruvnet with
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Agent-native TypeScript framework for building MCP servers. Declarative definitions with auth, multi-backend storage, OpenTelemetry, and first-class support for Bun/Node/Cloudflare
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A secure and scalable Git MCP server enabling AI agents to perform comprehensive Git version control operations via STDIO and Streamable HTTP.
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AI SDK by Vercel - build apps like ChatGPT, Claude, Gemini, and more with a single interface for any model using the Vercel AI Gateway or go direct to OpenAI, Anthropic, Google, or
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Azure MCP Server - Model Context Protocol implementation for Azure
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Deployment tool and support utility for AI context. Copies agents, skills, commands, rules, and behaviors into the paths each AI platform reads (Claude Code, Codex, Copilot, Cursor
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Azure MCP Server - Model Context Protocol implementation for Azure, for linux on x64
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Azure MCP Server - Model Context Protocol implementation for Azure, for win32 on x64
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MCP browser server — loads and interacts with web pages using the user's Chromium-based browser with full JavaScript execution. Handles authentication, SSO, and anti-bot protection
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Model Context Protocol server for Microsoft Dev Box
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Advanced GitLab MCP server
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Security MCP for vibe coding. 424 rules, 36 tools, CLI + doctor. Host security, auth coverage mapping, LLM-powered deep scan (IDOR/business logic), taint analysis. 61 CVE rules ref
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MCP server for AI agents to evaluate consequences before destructive actions. Analyzes Terraform plans, shell commands, and MCP tool calls.
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Azure MCP Server - Model Context Protocol implementation for Azure, for darwin on arm64
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Github Copilot modernization tools for MCP
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Vercel MCP Adapter for Next.js and other frameworks
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AI-native CI/CD that runs on your machine. Zero config, zero cost. Works inside AI agent sandboxes (Claude, Cursor, Windsurf). 33 languages, 40+ frameworks, 20 deploy targets, 25 i
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Mock infrastructure for AI application testing — LLM APIs, image generation, image editing, text-to-speech, transcription, audio translation, audio generation, video generation, em
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Model Context Protocol framework — MCP server hypervisor, adapter pattern, tool discovery, and adapters for Stripe, Supabase, and Vercel.
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