BioCite-MCP
Allows adding verified papers to a Zotero library via the Web API.
Click on "Deploy 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., "@BioCite-MCP Find recent papers on CRISPR gene therapy."
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.
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.
Related MCP server: PubMed Advanced MCP Server
🚀 Installation
pip install biocite-mcpNote: 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.
Available Tools
8 toolsaudit_manuscriptA
Scan a text for DOIs and citations, validating them and identifying missing DOIs.
Args: text: The manuscript text (markdown, txt, etc.) to audit.
Inputs: text (required). Returns: result
check_duplicate_citationsA
Identify duplicate papers in a list based on DOI and Title similarity.
Args: papers_json: A JSON string containing a list of paper objects with 'title' and optional 'doi'. threshold: Similarity threshold (0-100) for title matching.
Inputs: papers_json (required), threshold. Returns: result
export_bibtexC
Retrieve the BibTeX citation for a given DOI.
Args: doi: The DOI of the paper to export.
Inputs: doi (required). Returns: result
push_to_zoteroA
Push a paper's metadata to a Zotero library.
Args: doi: The DOI of the paper to add. zotero_key: Your Zotero API Key (Secret). library_id: Your Zotero User ID or Group ID. library_type: "user" or "group". collection_id: (Optional) ID of the collection to add the paper to.
Inputs: doi (required), zotero_key (required), library_id (required), library_type, +1 more. Returns: result
resolve_citationA
Convert a known DOI into a formatted, publication-ready citation string.
Args: doi: A valid DOI string (e.g., 10.1093/jxb/erx393) style: Citation style: "apa" or "nature"
Inputs: doi (required), style. Returns: result
search_literatureB
Query Europe PMC to retrieve real, peer-reviewed papers matching a biological query.
Args: query: Free-text search query (e.g., "DREB2A drought stress tomato") limit: Maximum number of results to return (1-25)
Inputs: query (required), limit. Returns: result
summarize_paperA
Fetch a paper's abstract and metadata for the LLM to summarize.
Args: doi: The DOI of the paper to summarize.
Inputs: doi (required). Returns: result
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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TDQS
Scored across 8 tools
Each tool has a distinct and clearly defined purpose: scanning text for DOIs, checking duplicates, exporting citations, finding related papers, pushing to Zotero, resolving citations, searching literature, and summarizing papers. No overlap in functionality.
All tool names follow a consistent verb_noun pattern with lowercase and underscores, e.g., 'audit_manuscript', 'export_bibtex', 'search_literature'. The naming is predictable and easy to understand.
With 8 tools, the set is well-scoped for a citation management server. It covers essential operations without being overwhelming or too sparse.
The tools cover core citation workflows: searching, validation, export, metadata retrieval, integration with Zotero, and duplication detection. Minor gaps like batch export or import are absent but do not hinder primary use cases.
Maintenance
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