# Iceberg MCP Server

> Use this tool when you need to manage and coordinate access to Apache Iceberg tables, enabling features like concurrent metadata updates and table locking. It solves problems related to data consistency and collaboration in big data analytics and data science applications. The Iceberg MCP Server takes in configuration and request inputs, producing metadata updates and access control outputs.

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

## Description

MCP Server for Apache Iceberg

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 0.1.21
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.dragonejt%2Ficeberg-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": "io-github-dragonejt-iceberg-mcp-server"
    }
  }
}
```

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