# OneCite

> Use this tool when you need to automate academic citation management and standardize references in various formats. OneCite solves the problem of manually formatting citations by parsing mixed-format references and outputting them in standard formats, with inputs including single or batch citations and outputs being formatted citations with completed metadata. It is ideal for use when working with multiple academic sources and databases, such as CrossRef, PubMed, or Google Books.

Canonical page: https://skillsregistry.net/skills/hzacode-onecite  
JSON: https://api.skillsregistry.net/v1/skills/hzacode-onecite

## Description

OneCite automates academic citation management by parsing mixed-format references and outputting them in standard formats. It features fuzzy matching against multiple academic databases including CrossRef, Semantic Scholar, OpenAlex, PubMed, DBLP, arXiv, DataCite, Zenodo, and Google Books. The server provides tools for single and batch citation generation with automatic metadata completion and interactive disambiguation.

## Trust

- **Trust score (0–1):** 0.31
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/hzacode-onecite)
- **Repository:** <https://github.com/hzacode/onecite>

## 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": "hzacode-onecite"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hzacode-onecite` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hzacode-onecite/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