Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Foundry MCP Serverlist datasets in the sales ontology"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 π
list datasets
query datasets
list ontology objects
query ontology objects
list functions
execute functions
Related MCP server: code2prompt-mcp
Prerequisites
Python 3.9+
mcp
pyarrow
pandas
foundry-platform-sdk
Environment Variables π
The server requires few configuration variables to run:
Variable | Description | Default |
| Your hostname of your Foundry instance | required |
| A user token that you can generate in your profile page | required* |
| A service user that is created in developer console | required* |
| A secret associated with the service user | required* |
| Oauth scopes | None |
| 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-foundryContributing
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 π
MIT License - see LICENSE file for details
Resources
Looking for Admin?
Admins can modify the Dockerfile, update the server description, and track usage metrics. If you are the server author, to access the admin panel.