Original Summary

Hey everyone, I’ve been working on an open-source tool called Castov — a local-first DevSecOps utility and MCP (Model Context Protocol) server designed to help developers fix runtime/port errors, scan secrets locally, and integrate tools with AI agents (like Claude Desktop and Cursor) without sending data to external clouds. ### Key Architectural Highlights: Zero Telemetry & Offline-First: Runs entirely on your machine (npx castov). No credentials or code snippets leave your environment. MCP Integration: Built on top of JSON-RPC 2.0 to expose CLI utilities directly to local AI clients seamlessly. Programmatic Knowledge Base: Indexed over 1,000+ modern developer error resolutions (Next.js 15+, Docker Compose, Supabase, Ollama) with structural JSON-LD schemas. ### Why We Built It: Most developer tooling either requires heavy cloud SaaS setups or lacks seamless context sharing with modern AI code assistants. We wanted a unified open-source layer (MIT Licensed) that handles secret scanning, env vaulting, port conflict resolution, and MCP agent bindings in one clean interface. The core codebase and packages are published on GitHub and npm: - Site & Docs: https://www.castov.com - GitHub Repository: https://github.com/castovdev/castov I’d love to get feedback from the community on the MCP implementation, developer experience, or any error-fix patterns you think should be added! (Open Source under MIT License)   submitted by   /u/benidira [link]   [comments]

  • 情报分类：开源项目与落地
  • 分类依据：内容涉及项目实践、创业、副业或变现
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/10/20 03:48:47