# Cloudera Iceberg MCP Server

> Use this tool when you need to access and query Apache Iceberg tables using SQL, enabling large language models (LLMs) to retrieve data and inspect database schemas. It provides read-only access via Impala, solving data retrieval and schema inspection use cases. Ideal for scenarios where LLMs require access to Iceberg tables, it accepts SQL queries as input and returns query results as output.

Canonical page: https://skillsregistry.net/skills/cloudera-iceberg-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/cloudera-iceberg-mcp-server

## Description

Enables read-only access to Apache Iceberg tables via Impala, allowing LLMs to inspect database schemas and execute SQL queries to retrieve data from Iceberg tables.

## Trust

- **Trust score (0–1):** 0.97
- **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:** [Glama](https://glama.ai/mcp/servers/fdetzlp0r3)
- **Repository:** <https://github.com/cloudera/iceberg-mcp-server>

## 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": "cloudera-iceberg-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cloudera-iceberg-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cloudera-iceberg-mcp-server/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