# Apache Gravitino

> Use this tool when you need to manage metadata services for data assets, explore and tag catalogs, or handle user roles and authentication. It provides a structured API for AI assistants to access Gravitino metadata, solving problems of data discovery and management. The tool takes in API requests and authentication tokens, and outputs formatted responses optimized for context limits.

Canonical page: https://skillsregistry.net/skills/datastrato-gravitino  
JSON: https://api.skillsregistry.net/v1/skills/datastrato-gravitino

## Description

The MCP server for Apache Gravitino provides AI assistants with direct access to Gravitino metadata services through a FastMCP integration. Developed by Datastrato, this implementation exposes tools for managing catalogs, schemas, tables, tags, and user roles via a structured API that communicates with Gravitino's REST endpoints. The server handles authentication through either basic auth or JWT tokens, maintains session management, and formats responses to optimize for context limits. It's particularly valuable for data engineers and analysts who need to explore, tag, and manage metadata across data assets without switching from their AI assistant workflow.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

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

## 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": "datastrato-gravitino"
    }
  }
}
```

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

---
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