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feat: add AgentKit MCP server β€” production-ready AI workflow automation for DevOps πŸ€–πŸ€–πŸ€– - #499

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feat: add AgentKit MCP server β€” production-ready AI workflow automation for DevOps πŸ€–πŸ€–πŸ€–#499
Yacine-ai-tech wants to merge 1 commit into
wmariuss:mainfrom
Yacine-ai-tech:add-agentkit-mcp-devops-tool

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AgentKit β€” Production-Ready MCP Server for AI-Driven DevOps Workflows

What it does

AgentKit is a FastAPI-backed MCP server that exposes 6 production-ready AI workflow tools to Claude Desktop, Cursor, and any MCP-compatible client:

  • LangGraph agent for multi-step reasoning chains
  • CrewAI multi-agent pipeline for parallel task decomposition
  • RAG chat over custom document stores (embeddings + reranking)
  • Claude Sonnet analysis for structured insight extraction
  • Async task queue for long-running background jobs
  • Tool result caching to avoid redundant LLM calls

Why it belongs here

AgentKit sits at the intersection of AI and DevOps β€” it lets teams automate infrastructure analysis, post-incident reviews, runbook generation, and deployment summaries using natural language through any MCP-compatible LLM client.

Quality signals

  • Full CI pipeline (GitHub Actions, pytest, Docker)
  • Docker Compose self-hosting guide included
  • MIT licensed
  • Live production deployment on Render

Category suggestion: Automation & Orchestration > AI Workflow Tools

@Yacine-ai-tech
Yacine-ai-tech requested a review from wmariuss as a code owner July 24, 2026 20:33
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