# DataCite Librarian MCP

> Use this tool when you need to manage and analyze DataCite metadata, ensuring repository quality and funder compliance. It solves problems related to data quality control, analytics, and reporting by providing features like CSV index analytics, search, and exports. The tool accepts DataCite monthly and public datafiles as input and produces actionable insights and reports as output.

Canonical page: https://skillsregistry.net/skills/kaysiz-mcp-test  
JSON: https://api.skillsregistry.net/v1/skills/kaysiz-mcp-test

## Description

Enables repository QA, funder compliance, CSV index analytics, search/facets, and exports over DataCite monthly and public datafiles, all run locally with stream-read performance.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o4d85jebey)
- **Repository:** <https://github.com/kaysiz/mcp-test>

## 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": "kaysiz-mcp-test"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kaysiz-mcp-test` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kaysiz-mcp-test/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