oss-conductor-mcp Model Context Protocol server for Conductor.

PyPi Quickstart# Install package

pip install conductor-mcp

Create a JSON config with your Conductor keys

{
  "CONDUCTOR_SERVER_URL": "https://developer.orkescloud.com/api",
  "CONDUCTOR_AUTH_KEY": "",
  "CONDUCTOR_AUTH_SECRET": ""
}

Note: the /api path is required as part of the CONDUCTOR_SERVER_URL for most applications

Plug the server into an AI Agent, such as Claude or Cursor

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

Adding to Claude

You can find instructions for adding to Claude here.

Adding to Cursor

The main Cursor instructions are here.

Example prompts# Get Flight Risk Info

Create and execute a Conductor Workflow that calls any necessary http endpoints to gather current weather data around Seattle and outputs the risk factors for flying a small airplane around the South Lake Union area using Visual Flight Rules today. Only use publicly available endpoints that don't require an API key.
```\n\n### Notify Stocks (May require API Keys)
```text
Create a Conductor Workflow that runs on a daily schedule, accepts a list of email address and a stock symbol, checks current stock prices, and sends an email to everyone on the list if they should be happy or sad today based on stock performance. Name the workflow "NotifyStonks" and use schemaVersion 2.

GitHub Quickstart

Clone GitHub Repo

gh repo clone conductor-oss/conductor-mcp

Create venv

uv sync source .venv/bin/activate

Define Env Vars

export CONDUCTOR_SERVER_URL="YOUR_CONDUCTOR_SERVER_URL"
export CONDUCTOR_AUTH_KEY=""
export CONDUCTOR_AUTH_SECRET=""

Configure Your AI Assistant

{
  "mcpServers": {
    "conductor": {
      "command": "uv",
      "args": ["--directory", "", "run", "conductor-mcp", "--config", ""]
    }
  }
}

Or Run Server Directly

cd uv
run conductor-mcp --config

Note: a local_development.py also exists for setting env vars and will be used when the --local_dev flag is set.