
CiteAssist (Citation Retrieval)
Retrieves properly formatted BibTeX citations from CiteAs and Google Scholar using DOIs, URLs, or search terms.
Integrates with CiteAs and Google Scholar to retrieve BibTeX-formatted citation data using DOIs, URLs, or keywords for seamless research citation workflows.
What it does
- Generate BibTeX citations from DOIs and URLs
- Search Google Scholar for academic papers
- Convert search results to BibTeX format
- Look up citation data by keywords
Best for
About CiteAssist (Citation Retrieval)
CiteAssist (Citation Retrieval) is a community-built MCP server published by ndchikin that provides AI assistants with tools and capabilities via the Model Context Protocol. CiteAssist is a citation tool that retrieves accurate BibTeX citations from DOIs or URLs—your seamless APA citation gene It is categorized under productivity. This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.
How to install
You can install CiteAssist (Citation Retrieval) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
CiteAssist (Citation Retrieval) is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Tools (2)
Retrieve BibTeX-formatted citation for the specified `resource` (e.g., DOI, URL, keyword) from the CiteAs
Retrieve `results` BibTeX-formatted citations for publications matching the `query` from the Google Scholar
CiteAssist MCP server
A Model Context Protocol server that provides BibTeX-formatted citation data from CiteAs and Google Scholar. Enhance your research workflow by integrating citation retrieval directly into your applications.
Components
Tools
get_citeas_data- Retrieve BibTeX-formatted citation for the specified resource from the CiteAsresource(string, required): DOI, URL, keyword
get_scholar_data- Retrieve BibTeX-formatted citations from the Google Scholarquery(string, required): Search queryresults(integer, optional): Number of results (default: 2)
Quickstart
Install
Claude Desktop
On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
Development/Unpublished Servers Configuration:
"mcpServers": {
"reference-mcp": {
"command": "uv",
"args": [
"--directory",
"/path/to/project/dir",
"run",
"reference-mcp"
]
}
}
Published Servers Configuration:
"mcpServers": {
"reference-mcp": {
"command": "uvx",
"args": [
"reference-mcp"
]
}
}
Installing via Smithery
To install reference-mcp for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @ndchikin/reference-mcp --client claude
Development
Building and Publishing
To prepare the package for distribution:
- Sync dependencies and update lockfile:
uv sync
- Build package distributions:
uv build
This will create source and wheel distributions in the dist/ directory.
- Publish to PyPI:
uv publish
Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token:
--tokenorUV_PUBLISH_TOKEN - Or username/password:
--username/UV_PUBLISH_USERNAMEand--password/UV_PUBLISH_PASSWORD
Debugging
Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.
You can launch the MCP Inspector via npm with this command:
npx @modelcontextprotocol/inspector uv --directory /path/to/project/dir run reference-mcp
Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
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