MCP Creator MCP Server

Local setup required. This server has to be cloned and prepared on your machine before you register it in Claude Code.
1

Set the server up locally

Run this once to clone and prepare the server before adding it to Claude Code.

Run in terminal
pip install mcp-creator
2

Register it in Claude Code

After the local setup is done, run this command to point Claude Code at the built server.

Run in terminal
claude mcp add mcp-creator -- node "<FULL_PATH_TO_MCP_CREATOR>/dist/index.js"

Replace <FULL_PATH_TO_MCP_CREATOR>/dist/index.js with the actual folder you prepared in step 1.

README.md

Create, build, and publish Python MCP servers to PyPI — conversationally.

mcp-creator

Create, build, and publish Python MCP servers to PyPI — conversationally.

Install mcp-creator, add it to your AI assistant, and it walks you through the entire process: naming your package, scaffolding a complete project, building, and publishing to PyPI.

Install

pip install mcp-creator

Setup

Add to Claude Code (~/.claude/settings.json):

{
  "mcpServers": {
    "mcp-creator": {
      "command": "mcp-creator",
      "args": []
    }
  }
}

Or for Cursor (.cursor/mcp.json):

{
  "mcpServers": {
    "mcp-creator": {
      "command": "mcp-creator",
      "args": []
    }
  }
}

Tools

Tool What it does
get_creator_profile Load your persistent profile — setup status, project history. Called first every session.
update_creator_profile Save setup state, usernames, and project history across sessions
check_setup Detect what's installed (uv, git, gh, PyPI token) — only walks through missing steps
check_pypi_name Check if a package name is available on PyPI
scaffold_server Create a complete MCP server project from a name + description + tool definitions
add_tool Add a new tool to an existing scaffolded project
build_package Run uv build on the project
publish_package Run uv publish to PyPI
setup_github Initialize git, create a GitHub repo, and push the code
generate_launchguide Create LAUNCHGUIDE.md for marketplace submission

Publish to MCP Marketplace

Once your server is on PyPI, list it on MCP Marketplace to reach thousands of AI users:

  • Security scanning — every submission is automatically scanned, and the score is shown to users
  • One-click install — users add your server to Claude, Cursor, or any MCP client in one click
  • Built-in payments — set a price (one-time or subscription), connect Stripe, and keep 85% of every sale
  • Creator dashboard — track installs, revenue, reviews, and license keys

Run generate_launchguide after publishing to create your submission file, then submit at mcp-marketplace.io/submit.

How It Works

  1. Tell your AI what you want to build: "I want an MCP server that checks the weather"
  2. It checks the name: calls check_pypi_name to verify availability on PyPI
  3. It scaffolds the project: calls scaffold_server with your tool definitions — generates a complete, runnable project
  4. You fill in the logic: replace the TODO stubs in services/ with your real API calls
  5. Build & publish: build_packagepublish_package → live on PyPI
  6. Push to GitHub: setup_github creates a repo and pushes your code
  7. Submit to marketplace: generate_launchguide creates the submission file with your repo URL

What Gets Generated

For a project named my-weather-mcp with a get_weather tool:

my-weather-mcp/
├── pyproject.toml         ← hatchling build, mcp[cli] dep, CLI entry point
├── README.md              ← install instructions + MCP config JSON
├── .gitignore
├── src/my_weather_mcp/
│   ├── __init__.py
│   ├── server.py          ← FastMCP + @mcp.tool() for each tool
│   ├── transport.py
│   ├── tools/
│   │   ├── __init__.py
│   │   └── get_weather.py
│   └── services/
│       ├── __init__.py
│       └── get_weather_service.py  ← TODO: your logic here
└── tests/
    ├── test_server.py
    └── test_get_weather.py

The generated server runs immediately — stub services return placeholder data so you can test before implementing real logic.

Requirements

  • Python 3.11+
  • uv (for building and publishing)

Development

git clone https://github.com/gmoneyn/mcp-creator.git
cd mcp-creator
uv venv .venv && source .venv/bin/activate
uv pip install -e ".[dev]"
pytest -v

Tools (10)

get_creator_profileLoad your persistent profile including setup status and project history.
update_creator_profileSave setup state, usernames, and project history across sessions.
check_setupDetect installed dependencies like uv, git, gh, and PyPI tokens.
check_pypi_nameCheck if a package name is available on PyPI.
scaffold_serverCreate a complete MCP server project from a name, description, and tool definitions.
add_toolAdd a new tool to an existing scaffolded project.
build_packageRun uv build on the project.
publish_packageRun uv publish to PyPI.
setup_githubInitialize git, create a GitHub repo, and push the code.
generate_launchguideCreate LAUNCHGUIDE.md for marketplace submission.

Configuration

claude_desktop_config.json
{"mcpServers": {"mcp-creator": {"command": "mcp-creator", "args": []}}}

Try it

I want to build an MCP server that checks the weather, can you help me scaffold it?
Check if the package name 'weather-mcp-service' is available on PyPI.
Add a new tool called 'get_forecast' to my current project.
Build my project and publish it to PyPI.
Initialize a GitHub repository for my current MCP project and push the code.

Frequently Asked Questions

What are the key features of MCP Creator?

Conversational scaffolding of Python MCP servers. Automated project structure generation including pyproject.toml and source files. Integrated PyPI publishing workflow using uv. Automated GitHub repository initialization and code pushing. Marketplace submission guide generation.

What can I use MCP Creator for?

Rapidly prototyping new MCP tools for AI assistants. Standardizing the development and deployment lifecycle of MCP servers. Streamlining the process of publishing custom MCP servers to the public PyPI registry. Automating the setup of GitHub repositories for new MCP projects.

How do I install MCP Creator?

Install MCP Creator by running: pip install mcp-creator

What MCP clients work with MCP Creator?

MCP Creator works with any MCP-compatible client including Claude Desktop, Claude Code, Cursor, and other editors with MCP support.

Turn this server into reusable context

Keep MCP Creator docs, env vars, and workflow notes in Conare so your agent carries them across sessions.

Need the old visual installer? Open Conare IDE.
Open Conare