# datamgr

> datamgr — philogeneperessini-ui-data-manage. Use this tool when you need to efficiently discover and inspect research datasets without accessing the actual data files. The datamgr tool solves problems related to data exploration and metadata retrieval, providing a read-only interface for searching, listing variables, and retrieving metadata. It is ideal for use cases where AI assistants require dataset information, such as data discovery, research, and analysis, offering a convenient and secure way to interact with datasets via an MCP server.

Canonical page: https://skillsregistry.net/skills/philogeneperessini-ui-data-manage  
JSON: https://api.skillsregistry.net/v1/skills/philogeneperessini-ui-data-manage

## Description

Enables AI assistants to discover and inspect research datasets via a read-only MCP server, offering search, variable listing, and metadata retrieval without reading data files.

## 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:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/na3gm3om3b)
- **Repository:** <https://github.com/philogeneperessini-ui/data-manage>

## 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": "philogeneperessini-ui-data-manage"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/philogeneperessini-ui-data-manage` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/philogeneperessini-ui-data-manage/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