# Apache Iceberg

> Use this tool when you need to access and analyze Apache Iceberg tables stored in AWS, providing a simplified interface for exploring catalogs, retrieving schemas, and examining table properties. It solves problems of complex query writing and code development for data engineers and analysts, offering a seamless integration with AWS Glue and authentication via AWS credentials. Ideal for use cases requiring efficient metadata exploration and understanding of Iceberg tables.

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

## Description

Iceberg MCP is a server implementation that provides AI assistants with direct access to Apache Iceberg tables stored in AWS. The server exposes tools for exploring Iceberg catalogs, retrieving table schemas, examining table properties, and analyzing partition information. Built on top of PyIceberg with AWS Glue integration, it authenticates using AWS credentials from environment variables or profiles. This implementation is particularly useful for data engineers and analysts who need to explore and understand Iceberg table metadata without writing complex queries or code.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-04-29

## Source

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

## 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": "ryft-iceberg"
    }
  }
}
```

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