"Information or resources related to PDF files" matching MCP servers:

Enables LLM agents to search biomedical literature, retrieve article details, find related papers, manage caching, and download open-access full texts through MCP with structured, agent-friendly responses.

A bridge connecting AI agents to NCBI's PubMed database through the Model Context Protocol, enabling seamless searching, retrieval, and analysis of biomedical literature and data.

Enables interaction with MGnify metagenomics resources and tools through the Model Context Protocol. Provides access to MGnify's API for querying and analyzing metagenomic datasets and related biological information.

Enables users to generate volcano plots by submitting jobs with input files and parameters, supporting local or Docker execution.

An MCP server that provides standardized access to biomedical knowledge bases and resources, enabling AI systems to retrieve verified information from sources like bioRxiv, EuropePMC, and various protein/gene databases.

A Model Context Protocol server that enhances language models with protein structure analysis capabilities, enabling detailed active site analysis and disease-related protein searches through established protein databases.

Enables querying the gnomAD genome aggregation database for variant, gene, and region information.

Enables searching and retrieving cancer-genomics projects, cases, and genomic data files — including TCGA, TARGET, and CPTAC — via keyless, open-access metadata tools. Supports filtering by primary site, project, or data category, and can route plain-English questions to the right tool automatically.

Enables AI agents to resolve marine species names to OBIS taxon records, retrieve georeferenced ocean occurrence records with optional date filtering, and pull aggregate statistics such as record counts, contributing datasets, and observed year ranges. Queries the Ocean Biodiversity Information System keylessly over the Pipeworx gateway or as a local stdio server.

Federates 13 gene-related MCP backends (gnomAD, GTEx, etc.) behind a single Streamable HTTP endpoint with collision-free namespacing and search-based tool discovery.

An MCP server that wraps R scripts for microbiome and amplicon (16S/ITS) analysis, providing tools for alpha/beta diversity, differential abundance, networks, and more, with PNG/PDF outputs.

Enables AI assistants to query VirtualFlyBrain data, run queries, and search for terms related to Drosophila neurobiology.

Enables querying metadata from MyVariant.info, a comprehensive variant annotation database, providing dataset statistics, source information, and build versions.

Searches UniProt by protein name to find accession numbers and retrieves detailed protein structure information from AlphaFold, including direct links to 3D structural predictions.

Executes SPARQL queries against biological and biomedical RDF databases from the RDF Portal, with additional REST API integrations for bioinformatics resources.

An MCP server that enables language models to fetch protein information from the UniProt database, including protein details, sequences, functions, and structures.

A unified MCP server for biomedical research that connects AI systems to resources like Ensembl, EuropePMC, STRING, and more, enabling retrieval of verified domain-specific information.

Enables searching and retrieving curated mathematical models of biological systems from BioModels, including metadata, source publications, and downloadable model files in SBML, BioPAX, and other formats, with querying by pathway, disease, organism, gene, or author.

Enables AI assistants to query VCF files through MCP tools that summarize variants, identify pathogenic and carrier variants, interpret pharmacogenomic results, and determine APOE status, with web app and Claude Desktop support.

Enables language models to search biomedical literature, fetch sequences, and follow links across Entrez databases through eleven read-only tools wrapping the nine NCBI Entrez E-utilities. It handles URL building, pacing, redirects, response caps, and API-key redaction so queries can be answered without a browser or scraping.