DevProjex MCP server

DevProjex 📁🌳

🏆 Officially Selected by the Avalonia UI Team for the App Showcase

Turn a real codebase into clean, AI-ready context — and see exactly what you're sending.

DevProjex turns any folder or codebase into clean, ready-to-use context for AI chats, code reviews, and documentation. Use it as a GUI, a TUI, a CLI, or an MCP server for AI agents — whatever fits your workflow.

Choose what you need in an interactive file tree, check the result in a live preview, then export it as ASCII, Markdown, JSON, or XML. Need more than text? Export a real copy of your project — a clean folder or ZIP file — with the same filters applied.

🔒 Read-only analysis and telemetry-free by design. DevProjex does not upload your project contents or collect telemetry.

App Demo 🖼️

Download 🚀

Download from Microsoft Store: 👉 DevProjex

Latest GitHub release: 👉 https://github.com/Avazbek22/DevProjex/releases/latest

Install via WinGet (Windows): winget install OlimoffDev.DevProjex

All install options per OS are covered in Docs/Installation.md.

Run without installing

These headless channels are available from release v5.2. Until the v5.2 packages have completed their first publication, use the direct GitHub release binary.

npx devprojex tree .
dnx devprojex tree .
./DevProjex tree .

The npm and NuGet packages contain the CLI, TUI, and MCP server, but not the desktop application. See Docs/Installation.md for the Node/.NET requirements and supported platforms.

Release automation also prepares direct headless archives and a non-root Docker image; their commands and availability boundary are documented in Docs/Installation.md.

Why DevProjex? 💡

Copying files into a chat window one by one doesn't scale. CLI tools pack a whole project fast, but you can't see what you're sending before it's sent.

DevProjex works differently — visual, precise, and local-first:

• You see what leaves your project — file tree, live preview, token estimate
• You control what leaves it — Smart Ignore, Git modes, secret and private-data redaction, name filters, saved profiles
• You get more than text — a real project copy as a folder or ZIP

Use it for

• AI assistants — clean input for ChatGPT, Claude, DeepSeek, Qwen, Kimi
• AI agents — Claude Code, Cursor, or any MCP client inspects your project through a read-only, always-redacted server
• CI pipelines — fail a build when secrets would leak into packed context, without ever printing the values
• Restricted environments where AI agents, remote indexing, or IDE plugins aren't allowed
• Code reviews — share structure and only the files that matter
• Large codebases — pull out one module instead of the whole repo
• Teaching — explain a project's architecture to a teammate or student

Shortened. The full README is on GitHub.