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 git@github.com: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

This server cannot be installed

security - not tested

license - permissive license

quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

An MCP server that allows AI assistants to interact with Foundry datasets, ontology objects, and functions through natural language queries and commands.

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