CiteNexus MCP
Allows searching and retrieving academic citation metadata from Google Scholar, including finding cluster IDs, generating BibTeX entries, and fetching paper metrics.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@CiteNexus MCPGet BibTeX for the paper 'Attention is all you need'"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
CiteNexus MCP
The AI-Native Academic Citation & Research Engine
CiteNexus is a fast, lightweight Model Context Protocol (MCP) server designed to give AI agents (like Claude Code, Gemini CLI, Cursor, and Windsurf) native access to the global academic literature graph.
The name says it all: it is the nexus where your AI assistant connects directly to the world's academic citations. Rather than forcing researchers to break their writing flow to navigate web interfaces, CiteNexus brings powerful reference management, citation generation, and metadata formatting directly into the IDEs and terminals where the writing actually happens.
🌟 The Vision
For decades, reference management has meant opening dedicated desktop applications (like Zotero or EndNote) or navigating browser-based walled gardens. While modern tools like Google Scholar Labs offer fantastic human-centric reading experiences, they remain isolated from the actual writing environment.
CiteNexus takes a different approach: Innovation through Integration.
We believe the future of research is Agentic. Your AI assistant should be able to seamlessly fetch, format, and verify citations without you ever leaving your editor. CiteNexus acts as the critical bridge between massive academic databases (like Google Scholar) and your local AI workflows. It doesn't compete with the giants of academic search; it unlocks their full potential for the AI era.
Why CiteNexus?
Cluster-First Architecture: Uses Google Scholar "Cluster IDs" as the universal source of truth, bypassing the brittleness of DOIs, mismatched titles, or broken URLs.
LLM-Powered Formatting (Elicitation): Replaces thousands of lines of fragile parsing code with dynamic AI formatting. Need a bespoke BibTeX format for a niche IEEE conference? CiteNexus handles it gracefully.
Where You Write: Integrates directly into your AI coding assistants, meta-prompting frameworks (like WTF-P), and terminal agents. No more tab-switching.
🛠️ Core Capabilities
CiteNexus exposes four focused MCP tools to your AI agent:
find-scholar-id: Converts any messy input (a loose title, an ArXiv ID, a DOI, or a fragmented citation) into a universal, stable Google Scholar Cluster ID.get-citation: Fetches the complete metadata for a Cluster ID and generates a perfectly accurate BibTeX entry.enhance-citation: Applies custom templates, rules, and notes to an existing citation (e.g., "Change to first-initial only", "Add a custom note regarding methodology").paper-metrics: Retrieves impact analytics, citation counts, and top related papers to help your agent evaluate a source's significance.
🚀 Quickstart
CiteNexus is packaged with uv for lightning-fast installation and execution.
Prerequisites
You need a SerpAPI Key to query Google Scholar.
export SERP_API_KEY="your-serpapi-key"(Optional) Fallback API Configuration: If your primary MCP client (e.g., Claude Code, Gemini CLI) does not yet support native MCP Elicitation, CiteNexus will automatically fall back to an OpenAI-compatible API to perform its data formatting.
export OPENAI_API_KEY="sk-..."
# Optional overrides for local models (Ollama, vLLM, etc.):
# export OPENAI_API_BASE="http://localhost:11434/v1"
# export OPENAI_MODEL="llama3"Running via uvx
You can run the server instantly without permanently installing it into your global environment:
uvx cite-nexus-mcpIDE / Agent Integration Examples
Claude Desktop
Add CiteNexus to your claude_desktop_config.json:
{
"mcpServers": {
"cite-nexus": {
"command": "uvx",
"args": ["cite-nexus-mcp"],
"env": {
"SERP_API_KEY": "your-serp-api-key",
"OPENAI_API_KEY": "your-openai-api-key-if-needed"
}
}
}
}Cursor / Windsurf
Provide the exact same command (uvx cite-nexus-mcp) and environment variables in the MCP configuration panel of your IDE settings.
🏗️ Development
To build on top of CiteNexus or run it locally:
Install
uv:curl -LsSf https://astral.sh/uv/install.sh | shClone and install:
git clone https://github.com/akougkas/cite-nexus-mcp.git cd cite-nexus-mcp uv syncRun the development server:
uv run cite-nexus-mcp
🤝 Philosophy & The Future
CiteNexus is built on the "Engine in the Car" philosophy. It is designed to be the ultimate citation engine that powers larger, more ambitious academic AI frameworks. As the academic ecosystem evolves, CiteNexus will grow to encompass citation graph traversal, local library (PDF) syncing, and hallucination verification, empowering researchers to do their best work at the speed of thought.
📄 License
MIT License
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