BioMCP
About
Empowering biomedical research and development through advanced analysis of protein structures
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BioMCP (Biomedical Database Integration)
Access a wide range of biomedical databases such as ClinicalTrials.gov, PubMed, and MyVariant.info to offer organized information on clinical trials, scientific studies, and genetic mutations. Enjoy smart data presentation and proper source acknowledgment for enhanced user experience.
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Access valuable protein data using the UniProt API integration for enhanced bioinformatics tools and protein studies.
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Facilitates seamless integration between AI platforms and tools such as PyMol and ChimeraX, allowing for immediate control commands and the capturing of molecular visuals essential for advanced scientific processes.
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Unlocking seamless access to the PubChem chemical database, our Model Context Protocol (MCP) facilitates compound exploration, structural examination, property evaluation, bioassay insights, safety details, and interconnections essential for advancing drug innovation, chemical exploration, and adherence to regulatory standards.
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Facilitates AI-powered exploration of biomedical articles on PubMed for research validation, reference creation, and visual data representation.
MCP Guide
Explore a comprehensive set of interactive resources and tools designed to enhance your comprehension and application of Model Context Protocol (MCP) principles.
PyMOL
Enhance your protein structure analysis with seamless integration with PyMOL molecular visualization software. Utilize natural language commands for interactive manipulation and high-resolution image generation.
PyMOL
Facilitates interactive communication with PyMOL to visualize and edit molecular structures, enhancing structural biology tasks by enabling command execution, accessing structural data, and controlling molecular displays.
Biomart
Unlock advanced capabilities for biological data manipulation by seamlessly connecting to Biomart through the utilization of the pybiomart tool. Access a wide range of functionalities such as gene data extraction, ID conversion, and comprehensive dataset investigation.