# Polaris Catalog & Iceberg Governance MCP Server

> Polaris Catalog & Iceberg Governance MCP Server — sankeerthnagapuri-apache-polaris-iceberg-ai-mcp. Use this tool when you need to manage and govern data access and metadata for AI applications, solving problems related to data auditing, access control, and metadata inspection. It enables AI assistants to query namespaces, check access control roles, and inspect Iceberg metadata, providing inputs such as data governance policies and outputs like access control reports. Ideal for use cases requiring data governance and compliance, such as data warehousing and business intelligence applications.

Canonical page: https://skillsregistry.net/skills/sankeerthnagapuri-apache-polaris-iceberg-ai-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sankeerthnagapuri-apache-polaris-iceberg-ai-mcp

## Description

Enables AI assistants to audit data governance, check access control roles, query namespaces, and inspect Iceberg metadata.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rps2r8f4cw)
- **Repository:** <https://github.com/sankeerthnagapuri/apache-polaris-iceberg-ai-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": "sankeerthnagapuri-apache-polaris-iceberg-ai-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sankeerthnagapuri-apache-polaris-iceberg-ai-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sankeerthnagapuri-apache-polaris-iceberg-ai-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