# iceberg-mcp-server

> Use this tool when you need to manage and interact with Apache Iceberg catalogs, enabling efficient data reading, querying, and manipulation. It solves problems related to data management, query optimization, and data governance, providing a robust interface for users to input queries and receive output results. Ideal for use cases involving big data analytics, data warehousing, and data science applications.

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

## Description

MCP Server for Apache Iceberg, enabling users to read, query, and manipulate data within Iceberg catalogs.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a7irhgbt64)
- **Repository:** <https://github.com/dragonejt/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": "dragonejt-iceberg-mcp-server"
    }
  }
}
```

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