# MCP Data Catalog Server

> MCP Data Catalog Server — akashmanjini-mcp-data-catalog. Use this tool when you need to efficiently search and manage large enterprise data catalogs, and solve problems related to data discovery, quality, and governance. It provides inputs such as data sources and filters, and outputs like classified data, lineage, and quality metrics. Ideal for use cases requiring data profiling, AI-driven classification, and data history tracking in enterprise environments.

Canonical page: https://skillsregistry.net/skills/akashmanjini-mcp-data-catalog  
JSON: https://api.skillsregistry.net/v1/skills/akashmanjini-mcp-data-catalog

## Description

Enables composable search and filtering over an enterprise data catalog, with tools for lineage, sample data, profiling, history, quality rules, and AI-driven classification.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mnql1umki5)
- **Repository:** <https://github.com/akashmanjini/mcp_data_catalog>

## 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": "akashmanjini-mcp-data-catalog"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/akashmanjini-mcp-data-catalog` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/akashmanjini-mcp-data-catalog/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