# Dataproc Metastore API MCP Server

> Use this tool when you need to manage Hive metastore services through natural language interactions, enabling AI agents to access and manipulate metadata in Google Cloud's Dataproc Metastore. It solves problems related to metadata management, data discovery, and data governance, providing a conversational interface for agents to query and update metastore data. This tool is ideal for use cases where AI agents require programmatic access to Dataproc Metastore API through a natural language interface.

Canonical page: https://skillsregistry.net/skills/ag2-mcp-servers-dataproc-metastore-api  
JSON: https://api.skillsregistry.net/v1/skills/ag2-mcp-servers-dataproc-metastore-api

## Description

An MCP (Multi-Agent Conversation Protocol) Server that provides access to Google Cloud's Dataproc Metastore API, enabling AI agents to manage and interact with Hive metastore services through natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rn6jpptp6v)
- **Repository:** <https://github.com/ag2-mcp-servers/dataproc-metastore-api>

## 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": "ag2-mcp-servers-dataproc-metastore-api"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ag2-mcp-servers-dataproc-metastore-api` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ag2-mcp-servers-dataproc-metastore-api/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