data-science-mcp 0.2.0

Data Science MCP Server — Model training, evaluation, and evolution tools for agentic ML workflows. Integrates with agent-utilities IModelEvolver (CONCEPT:AHE-3.15).

Data Science MCP - A2A | AG-UI | MCP

Version: 0.2.0

Overview

Data Science MCP MCP Server + A2A Agent

Data Science MCP Server — Model training, evaluation, and evolution tools for agentic ML workflows. Integrates with agent-utilities IModelEvolver (CONCEPT:AHE-3.15).

This repository is actively maintained - Contributions are welcome!

MCP

Using as an MCP Server

The MCP Server can be run in two modes: stdio (for local testing) or http (for networked access).

Environment Variables

• DATA_SCIENCE_MCP_URL: The URL of the target service.
• DATA_SCIENCE_MCP_TOKEN: The API token or access token.

Run in stdio mode (default):

export DATA_SCIENCE_MCP_URL="http://localhost:8080"
export DATA_SCIENCE_MCP_TOKEN="your_token"
data-science-mcp --transport "stdio"

Run in HTTP mode:

export DATA_SCIENCE_MCP_URL="http://localhost:8080"
export DATA_SCIENCE_MCP_TOKEN="your_token"
data-science-mcp --transport "http" --host "0.0.0.0" --port "8000"

A2A Agent

Run A2A Server

export DATA_SCIENCE_MCP_URL="http://localhost:8080"
export DATA_SCIENCE_MCP_TOKEN="your_token"
data-science-agent --provider openai --model-id gpt-4o --api-key sk-...

Docker

Build

docker build -t data-science-mcp .

Run MCP Server

docker run -d \
  --name data-science-mcp \
  -p 8000:8000 \
  -e TRANSPORT=http \
  -e DATA_SCIENCE_MCP_URL="http://your-service:8080" \
  -e DATA_SCIENCE_MCP_TOKEN="your_token" \
  knucklessg1/data-science-mcp:latest

Deploy with Docker Compose

services:
  data-science-mcp:
    image: knucklessg1/data-science-mcp:latest
    environment:
      - HOST=0.0.0.0
      - PORT=8000
      - TRANSPORT=http
      - DATA_SCIENCE_MCP_URL=http://your-service:8080
      - DATA_SCIENCE_MCP_TOKEN=your_token
    ports:
      - 8000:8000

Configure mcp.json for AI Integration (e.g. Claude Desktop)

{
  "mcpServers": {
    "data-science": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "data-science-mcp",
        "data-science-mcp"
      ],
      "env": {
        "DATA_SCIENCE_MCP_URL": "http://your-service:8080",
        "DATA_SCIENCE_MCP_TOKEN": "your_token"
      }
    }
  }
}

Install Python Package

python -m pip install data-science-mcp

uv pip install data-science-mcp

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