The PubTator MCP Server is an asynchronous Python-based platform that interfaces with the PubTator3 API, enabling biomedical text mining. It supports entity autocomplete, literature searches, article downloads, and related entity queries, making it ideal for integrating biomedical data retrieval and analysis into larger MCP systems.
Added on:
Created by:
Apr 28 2025
The PubTator MCP Server is an asynchronous Python-based platform that interfaces with the PubTator3 API, enabling biomedical text mining. It supports entity autocomplete, literature searches, article downloads, and related entity queries, making it ideal for integrating biomedical data retrieval and analysis into larger MCP systems.
Added on:
Created by:
Apr 28 2025
Qingyuan Zhang
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What is PubTator MCP Server?
This server offers comprehensive biomedical text-mining functionalities via MCP protocols, including entity autocomplete for genes and diseases, literature searching by keywords or relations, text extraction from PubMed/PMC articles, and related entity discovery. It is designed for fast, non-blocking operations with aiohttp, suitable for integration into research and clinical pipelines. Users can programmatically access and analyze biomedical concepts, retrieve full-text articles, and explore entity relationships, facilitating advanced biomedical research, data analysis, and knowledge discovery.
Who will use PubTator MCP Server?
- Biomedical researchers
- Bioinformatics professionals
- Medical data scientists
- Healthcare institutions
- Pharmaceutical companies
How to use the PubTator MCP Server?
- Step 1: Install the server using `pip install mcp-server-pubtator3`
- Step 2: Run the server with `python -m mcp-server-pubtator3`
- Step 3: Use MCP-compatible clients or scripts to call available tools
- Step 4: Query entity lookup, literature search, or fetch articles as needed
- Step 5: Analyze the retrieved data for research or clinical purposes
PubTator MCP Server's Core Features & Benefits
The Core Features
- Entity Autocomplete
- Literature Search
- Article Retrieval
- Find Related Entities
The Benefits
- Fast and asynchronous processing
- Comprehensive biomedical data access
- Programmatic integration for research pipelines
- Supports complex relational queries
PubTator MCP Server's Main Use Cases & Applications
- Biomedical literature mining for research
- Clinical data annotation
- Drug target discovery
- Gene-disease association analysis
FAQs of PubTator MCP Server
Developer
- QIngyuanfl
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