Foundry MCP Server

A Model Context Protocol server for interacting with Foundry. It allows AI assistants to interact with datasets, ontology objects and functions.

Tools 🌟

• list datasets
• query datasets
• list ontology objects
• query ontology objects
• list functions
• execute functions

Prerequisites

• Python 3.9+
• mcp
• pyarrow
• pandas
• foundry-platform-sdk

Environment Variables 🌍

The server requires few configuration variables to run:

Variable	Description	Default
HOSTNAME	Your hostname of your Foundry instance	required
TOKEN	A user token that you can generate in your profile page	required*
CLIENT_ID	A service user that is created in developer console	required*
CLIENT_SECRET	A secret associated with the service user	required*
SCOPES	Oauth scopes	None
ONTOLOGY_ID	Your ontology id	required

• if token is not provided the server will try to authenticate using the oauth2 flow with client_id and client_secret

Usage

uv

first you need to clone the repository and add the config to your app

{
  "mcpServers": {
    "foundry": {
      "command": "uv",
      "args": [
        "--directory", 
        "<path_to_mcp_server>",
        "run",
        "mcp-server-foundry"
      ],
      "env": {
        "HOSTNAME": "<hostname>",
        "TOKEN": "<token>",
        "CLIENT_ID": "<client_id>",
        "CLIENT_SECRET": "<client_secret>",
        "SCOPES": "<scopes>",
        "ONTOLOGY_ID": "<ontology_id>"
      }
    }
  }
}

Development

To run the server in development mode:

# Clone the repository
git clone [email protected]:qwert666/mcp-server-foundry.git

# Run the server
npx @modelcontextprotocol/inspector uv --directory /path/to/mcp-foundry-server run mcp-server-foundry

Contributing

• Fork the repository
• Create your feature branch (git checkout -b feature/amazing-feature)
• Commit your changes (git commit -m 'Add some amazing feature')
• Push to the branch (git push origin feature/amazing-feature)
• Open a Pull Request

License 📜

MIT License - see LICENSE file for details