CiteAssist is a citation tool that retrieves accurate BibTeX citations from DOIs or URLs—your seamless APA citation gene
Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
Slack MCP Server (Official)
Official Slack MCP server enabling AI agents to interact with Slack workspaces through the Model Context Protocol. Featu
Excel
Unlock powerful Excel automation: read/write Excel files, create sheets, and automate workflows with seamless integratio
Asana
MCP server for Asana — enables Claude to interact with Asana data and workflows.
Jira
Integrate Jira software with AI to automate tasks, manage bugs, and streamline your development workflow efficiently.
Markdownify MCP
Convert almost anything to Markdown. Transforms PDFs, images, web pages, DOCX, XLSX, and other formats into clean Markdo
We wired CiteAssist (Citation Retrieval) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
CiteAssist (Citation Retrieval) is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Useful MCP listing: CiteAssist (Citation Retrieval) is the kind of server we cite when onboarding engineers to host + tool permissions.
CiteAssist (Citation Retrieval) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
We evaluated CiteAssist (Citation Retrieval) against two servers with overlapping tools; this profile had the clearer scope statement.
I recommend CiteAssist (Citation Retrieval) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
CiteAssist (Citation Retrieval) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We wired CiteAssist (Citation Retrieval) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
According to our notes, CiteAssist (Citation Retrieval) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
CiteAssist (Citation Retrieval) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
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Claude Desktop configuration
{
"mcpServers": {
"reference-mcp": {
"command": "uvx",
"args": [
"reference-mcp"
]
}
}
}Retrieves properly formatted BibTeX citations from CiteAs and Google Scholar using DOIs, URLs, or search terms.
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.
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.
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.
get_citeas_data - Retrieve BibTeX-formatted citation for the specified resource from the CiteAs
resource (string, required): DOI, URL, keywordget_scholar_data - Retrieve BibTeX-formatted citations from the Google Scholar
query (string, required): Search queryresults (integer, optional): Number of results (default: 2)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"
]
}
}
To install reference-mcp for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @ndchikin/reference-mcp --client claude
To prepare the package for distribution:
uv sync
uv build
This will create source and wheel distributions in the dist/ directory.
uv publish
Note: You'll need to set PyPI credentials via environment variables or command flags:
--token or UV_PUBLISH_TOKEN--username/UV_PUBLISH_USERNAME and --password/UV_PUBLISH_PASSWORDSince 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.
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Obsidian Vault
Interact with your Obsidian vault for powerful note taking, file operations, and metadata management using the Obsidian