BioCite-MCP
BioCite-MCP enables LLMs to retrieve verified academic literature metadata, citations, and BibTeX from Europe PMC and Crossref, and audit manuscripts for citation accuracy.
README
<p align="center"> <img src="logo.jpg" alt="BioCite-MCP Logo" width="300"> </p>
BioCite-MCP 🧬
BioCite-MCP is an advanced Model Context Protocol (MCP) server that acts as a real-time bridge between LLMs and academic literature databases (Europe PMC & Crossref). It eliminates citation hallucinations by forcing AI models to retrieve verified, peer-reviewed paper metadata and real DOIs directly within their workflow.
🌟 Key Features
🔍 Literature Discovery
search_literature: Query Europe PMC for real biological papers. Returns structured metadata including DOIs and abstracts.find_related_papers: Discovers semantically related research using Europe PMC's Recommendations engine with an automated Citations/References fallback.
📝 Citation & Formatting
resolve_citation: Converts any DOI into publication-ready citation strings (APA or Nature style).export_bibtex: Retrieves professional BibTeX entries directly via Crossref content negotiation.
🛡️ Manuscript Auditing & Support
audit_manuscript: Scans your text for DOIs to verify them and flags potential citations that lack DOIs.summarize_paper: Fetches abstracts and prepares high-quality summarization prompts optimized for LLMs like Claude.check_duplicate_citations: Uses fuzzy matching (rapidfuzz) to identify and group duplicate research in your lists.
📚 Integration
push_to_zotero: Seamlessly add verified papers to your Zotero library via the Web API.
🚀 Installation
pip install biocite-mcp
Note: For development, use pip install -e . in the repository root.
🔧 Configuration
Add biocite-mcp to your MCP host configuration (e.g., claude_desktop_config.json):
{
"mcpServers": {
"biocite-mcp": {
"command": "python",
"args": ["-m", "biocite_mcp"]
}
}
}
🛠️ Usage Examples
- Search: "Find recent papers about DREB2A drought stress in tomato."
- Resolve: "Format the citation for DOI 10.1093/jxb/erx393 in Nature style."
- Analyze: "Audit this manuscript draft for citation accuracy: [Your Text Here]" (Pro-tip: Use Claude's Filesystem MCP to read your manuscript file and pipe the content directly into this tool!)
- Export: "Give me the BibTeX for 10.1111/j.1365-313X.2006.02701.x"
📜 License
This project is licensed under the MIT License - see the LICENSE file for details.
Developed by ZaEyAsa — Your Advanced Agentic Bio-Citation Assistant.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.