Provides tools to scaffold and upgrade modern JavaScript projects (libraries, CLIs, services, SPAs, monorepos) using Packkit generators, including previewing file trees and planning upgrades.
Provides tools to scaffold and upgrade Python projects (libraries, CLIs) using Packkit generators, including previewing file trees and planning upgrades.
Provides tools to scaffold and upgrade modern TypeScript projects (libraries, CLIs, services, SPAs, monorepos) using Packkit generators, including previewing file trees and planning upgrades.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@packkit-mcp List the available project generators"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
The Packkit Model Context Protocol server —
let AI agents (Claude Desktop, Cursor, VS Code, …) scaffold and upgrade modern
projects as a native tool. It fronts every Packkit generator through the
@packkit/core protocol, so the same
tools work across languages:
JavaScript / TypeScript — create-packkit (libraries, CLIs, services, SPAs, monorepos)
Python — create-packkit-py (libraries, CLIs)
Adding a language later is one registry.register(...) line here — the tools don't change.
Point your MCP client at the published package (no install needed — npx fetches it):
{
"mcpServers": {
"packkit": {
"command": "npx",
"args": ["-y", "packkit-mcp"]
}
}
}Related MCP server: Photon MCP Server
Tool | What it does |
| List every generator (language target) with maturity + capabilities. Start here. |
| List a generator's presets (experimental hidden unless asked). |
| A generator's full option schema (options, choices, defaults). |
| Preview a project (file tree + stack + deployment contract), or |
| Baseline-aware three-way upgrade plan for an existing project — template changes vs your edits, writes nothing. |
The typical flow: list_generators → list_presets / get_generator_schema →
generate_project. All generation is protocol-driven; the server holds no
language-specific logic.
npm install
npm run smoke # boot the server over MCP stdio and exercise both generators
npm run check # server.json sync check + smoke (what CI runs)Releases are automated with Changesets — see RELEASING.md.
MIT © DanMat
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