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Foundry MCP Server

by MCP-Mirror

The Foundry MCP Server is a Model Context Protocol server designed for interacting with Foundry. It enables AI assistants to access and manipulate datasets, ontology objects, and functions within the Foundry environment.

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What is Foundry MCP Server?

The Foundry MCP Server is a bridge between AI assistants and the Palantir Foundry platform. It exposes Foundry's datasets, ontology, and functions through the Model Context Protocol, allowing AI agents to query, manipulate, and execute operations within Foundry.

How to use Foundry MCP Server?

To use the server, you need to clone the repository and configure the necessary environment variables (HOSTNAME, TOKEN, CLIENT_ID, CLIENT_SECRET, SCOPES, ONTOLOGY_ID). The provided JSON configuration snippet demonstrates how to integrate the server within an application using uv. You can then run the server using the provided development commands.

Key features of Foundry MCP Server

  • List datasets

  • Query datasets

  • List ontology objects

  • Query ontology objects

  • List functions

  • Execute functions

  • OAuth2 Authentication

Use cases of Foundry MCP Server

  • AI-powered data analysis in Foundry

  • Automated data manipulation workflows

  • Integration of Foundry data with AI assistants

  • Building AI applications on top of Foundry

  • Enabling natural language interaction with Foundry data

FAQ from Foundry MCP Server

What is MCP?

Model Context Protocol (MCP) is a protocol that allows AI assistants to interact with data and functions.

What is Foundry?

Palantir Foundry is a data integration and analysis platform.

What are the prerequisites for running the server?

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

How do I configure the server?

You need to set the environment variables: HOSTNAME, TOKEN, CLIENT_ID, CLIENT_SECRET, SCOPES, and ONTOLOGY_ID.

Where can I find the LICENSE file?

The LICENSE file is located in the root directory of the repository.