# IcebergMCP

> Use this tool when you need to interact with Apache Iceberg Lakehouse tables using natural language, enabling read-only operations such as listing namespaces, tables, schemas, and partitions. It solves problems related to data discovery and exploration, providing an intuitive interface for users to query and understand their data. Ideal for use cases where users require a simple and user-friendly way to access and understand complex data structures.

Canonical page: https://skillsregistry.net/skills/fastmcp-me-iceberg-mcp  
JSON: https://api.skillsregistry.net/v1/skills/fastmcp-me-iceberg-mcp

## Description

Enables natural language interaction with Apache Iceberg Lakehouse tables through MCP, supporting read-only operations like listing namespaces, tables, schemas, and partitions.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

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

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