dimed-mcp 0.1.3

MCP server with Kedro prompts and tools (local stdio, zero-install via uvx).

Kedro MCP Server

An MCP (Model Context Protocol) server that helps AI assistants work consistently with Kedro projects.
It ships a tiny prompt and two read-only tools that return concise, versioned guidance for general Kedro usage and for converting a Jupyter notebook into a production-ready Kedro project.

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⚡ Quick Install

• Install in Cursor

• Install in VS Code

Once installed, your AI assistant automatically gains access to Kedro-specific MCP tools.

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🛠️ Examples of Usage

After installing, open Copilot Chat (VS Code) or the Chat panel (Cursor).
Type / to see available MCP prompts.

Example 1 — Notebook → Kedro Project

/mcp.Kedro.convert_notebook

Your assistant will propose a step-by-step plan to convert a Jupyter Notebook into a production-ready Kedro project:

• Create a project scaffold with kedro new
• Define pipelines with kedro pipeline create
• Populate parameters.yml and catalog.yml

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Example 2 — Kedro Migration

/mcp.Kedro.project_migration

The assistant will return fresh guidance on working with recent Kedro releases, including migration tips from older versions (e.g., 0.19 → 1.0).

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Example 3 — General Kedro questions

Please use Kedro MCP server to generate me some cool Kedro project that solves a fictional data science task.

You can ask your AI assistant open-ended Kedro questions.
The Kedro MCP server provides scaffolding instructions and conventions so the assistant generates realistic Kedro pipelines and structures — even for hypothetical projects.

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🛠️ Manual Install (from source)

For development or debugging:

git clone https://github.com/kedro-org/kedro-mcp.git
cd kedro-mcp
uv pip install -e . --group dev

Config (local path):

{
  "mcpServers": {
    "kedro": {
      "command": "uv",
      "args": ["tool", "run", "--from", ".", "kedro-mcp"],
      "env": { "FASTMCP_LOG_LEVEL": "ERROR" }
    }
  }
}

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Development

# Install dev deps
uv pip install -e . --group dev

# Lint & type-check
ruff check .
mypy src/

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Troubleshooting

• Server not starting: ensure Python 3.10+ and uv are installed; confirm the MCP config points to uvx kedro-mcp@latest or to the kedro-mcp console script.
• Tools don’t appear: restart the assistant; verify the MCP config key matches "kedro" and the client supports stdio servers.
• Version drift: pin a version instead of @latest.

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License

This project is licensed under the Apache Software License 2.0. See LICENSE.txt for details.

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Support

• Report issues: https://github.com/kedro-org/kedro-mcp/issues
• MCP specification: https://modelcontextprotocol.io/