# CiteAssist (Citation Retrieval)

> Use this tool when you need to streamline citation retrieval and formatting in your research workflow. CiteAssist solves the problem of manually searching and formatting citations by providing BibTeX-formatted data from CiteAs and Google Scholar, taking in inputs such as DOIs, URLs, or keywords and outputting properly formatted citations. It is ideal for use in applications where researchers and writers require efficient and accurate citation generation, such as academic writing and research projects.

Canonical page: https://skillsregistry.net/skills/ndchikin-reference  
JSON: https://api.skillsregistry.net/v1/skills/ndchikin-reference

## Description

CiteAssist MCP server provides BibTeX-formatted citation data from CiteAs and Google Scholar, enhancing research workflows by integrating citation retrieval directly into applications. Developed by Nikolay Chikin, it offers two main tools: 'get_citeas_data' for retrieving citations from CiteAs using DOIs, URLs, or keywords, and 'get_scholar_data' for searching Google Scholar with customizable result limits. The server can be installed via Smithery or manually configured for Claude Desktop on macOS and Windows, making it ideal for researchers and writers who need to generate properly formatted citations without leaving their conversation interface.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ndchikin-reference)
- **Repository:** <https://github.com/ndchikin/reference-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": "ndchikin-reference"
    }
  }
}
```

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