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
Development
To run the server in development mode:
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
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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