# Palantir Foundry

> Use this tool when you need to interact with ontology data, execute SQL queries, or access enterprise data in Palantir Foundry through a standardized interface. It solves problems for data analysts and engineers by providing a bridge to Foundry, enabling them to list ontology types, query objects, and execute functions with parameters. Ideal for use cases requiring conversational AI access to Foundry data, it accepts user tokens or client credentials as input and returns query results and executed function outputs.

Canonical page: https://skillsregistry.net/skills/palantir-foundry  
JSON: https://api.skillsregistry.net/v1/skills/palantir-foundry

## Description

Foundry MCP Server provides a bridge to the Palantir Foundry platform, enabling AI assistants to interact with ontology data and execute SQL queries through a standardized interface. The server exposes five key tools: listing ontology types, querying specific ontology objects with filters, executing SQL queries against datasets, listing available functions, and executing ontology functions with parameters. Built with Python using the FastMCP framework, it authenticates with Foundry using either user tokens or client credentials, making it ideal for data analysts and engineers who need to access and manipulate enterprise data in Foundry through conversational AI.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/palantir-foundry)
- **Repository:** <https://github.com/qwert666/mcp-server-foundry>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "palantir-foundry"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/palantir-foundry` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/palantir-foundry/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt