# Apache Iceberg

> Use this tool when you need to manage and query Apache Iceberg tables through a SQL interface, solving problems like data lake interaction and table management. It takes SQL commands as input and outputs query results, connecting to Iceberg REST catalogs and S3-compatible storage. Use Apache Iceberg in contexts where data analysts and engineers require direct, conversational access to data lakes without context switching.

Canonical page: https://skillsregistry.net/skills/ahodroj-iceberg  
JSON: https://api.skillsregistry.net/v1/skills/ahodroj-iceberg

## Description

MCP Iceberg Catalog provides a SQL interface for querying and managing Apache Iceberg tables through Claude desktop. The server connects to Iceberg REST catalogs and S3-compatible storage, supporting operations like listing tables, describing schemas, executing SELECT queries, and inserting data. Built with PyIceberg and PyArrow for efficient data handling, it translates SQL commands to Iceberg operations and manages catalog connections transparently. This implementation is particularly valuable for data analysts and engineers who need to interact with data lakes directly through conversational AI without switching contexts.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ahodroj-iceberg)
- **Repository:** <https://github.com/ahodroj/mcp-iceberg-service>

## 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": "ahodroj-iceberg"
    }
  }
}
```

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