Server data from the Official MCP Registry
Scaffold and upgrade modern projects (JS/TS, Python) as a native tool for AI agents.
About
Scaffold and upgrade modern projects (JS/TS, Python) as a native tool for AI agents.
Security Report
Valid MCP server (3 strong, 4 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
6 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
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How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-packkitlabs-packkit-mcp": {
"args": [
"-y",
"packkit-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
packkit-mcp
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.
Install
Point your MCP client at the published package (no install needed — npx fetches it):
{
"mcpServers": {
"packkit": {
"command": "npx",
"args": ["-y", "packkit-mcp"]
}
}
}
Tools
| 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.
Develop
npm install
npm run smoke # boot the server over MCP stdio and exercise all three generators
npm run check # server.json sync check + smoke (what CI runs)
Releases are automated with Changesets — see RELEASING.md.
License
MIT © DanMat
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