PackkitLabs/packkit-mcp

Overview

MCP server that exposes Packkit to AI agents, enabling them to scaffold, upgrade, and compose fullstack projects in JavaScript/TypeScript, Python, or Go. It acts as a native tool for agent-driven project creation and management through the Model Context Protocol.

Best for

Best for
Developers building fullstack projects with AI agents that use Model Context Protocol.

Use cases

• Scaffold a new fullstack project via an AI agent
• Upgrade an existing Packkit-managed project
• Compose applications across supported languages

How to use

Tools exposed

• list_generators
• list_presets
• get_generator_schema
• generate_project
• plan_upgrade

Tested with

Claude Desktop, Cursor, VS Code

Example client config

{\n  "mcpServers": {\n    "packkit": {\n      "command": "npx",\n      "args": ["-y", "packkit-mcp"]\n    }\n  }\n}

Notes

MCP server that exposes Packkit to AI agents, enabling them to scaffold, upgrade, and compose fullstack projects in JavaScript/TypeScript, Python, or Go. It acts as a native tool for agent-driven project creation and management through the Model Context Protocol.

0 stars on GitHub. Last updated 2026-08-17. Licensed MIT.

Use cases

• Scaffold a new fullstack project via an AI agent
• Upgrade an existing Packkit-managed project
• Compose applications across supported languages

Pros

• Native MCP integration for AI agents
• Supports JavaScript/TypeScript, Python, and Go
• Covers scaffold, upgrade, and compose workflows

Cons

• No stars or visible community traction yet
• Tied to Packkit’s specific tooling and workflows
• Requires a compatible MCP client to be useful

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.