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Allow myself to introduce... myself.
packkit-mcp
Advanced tools
MCP server for Packkit — let AI agents scaffold and upgrade modern projects in any supported language (JS/TS, Python) as a native tool.
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:
create-packkit (libraries, CLIs, services, SPAs, monorepos)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"]
}
}
}
| Tool | What it does |
|---|---|
list_generators | List every generator (language target) with maturity + capabilities. Start here. |
list_presets | List a generator's presets (experimental hidden unless asked). |
get_generator_schema | A generator's full option schema (options, choices, defaults). |
generate_project | Preview a project (file tree + stack + deployment contract), or write: true to scaffold to disk. |
plan_upgrade | 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
FAQs
MCP server for Packkit — let AI agents scaffold, compose, and upgrade modern multi-language projects as a native tool.
The npm package packkit-mcp receives a total of 117 weekly downloads. As such, packkit-mcp popularity was classified as not popular.
We found that packkit-mcp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.

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