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

Related MCP server: code2prompt-mcp

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