"Understanding File Usage" matching MCP servers:

Works out a health plan from your own record: which screening is due and evidence-based suggestions with citations. Reads and writes one health-roadmap.json file on your machine; nothing is sent to a server.

Enables AI agents to retrieve cited pharmacogenomic and gene-variant information, including drug–gene guidance from CPIC/DPWG and rsID lookups, so responses can quote curated sources instead of relying on memory. A local package also lets users read raw DNA files on their own computer without sending the file data to the remote service.

Enables any MCP client to ask what a medical procedure costs at three Chicago hospitals and get back rows cited to each hospital's own published price file and provider registry data. Tools stay read-only and typed, returning provenance such as source file, SHA-256, effective date, and release tag with every result.

Enables querying the EMBL-EBI catalog of published polygenic scores through read-only tools that search scores, traits, publications, performance metrics, sample sets, cohorts, and releases, and that trace GWAS studies and resolve ontology and ancestry identifiers. It also lists and downloads the associated scoring-file and metadata files from the catalog's FTP site.

Upload your raw DNA file from 23andMe, AncestryDNA, MyHeritage, FamilyTreeDNA, or any VCF -- and watch a team of AI agents fan out across 16+ public genomics databases, share discoveries with each other in real time, and produce a comprehensive health report. Everything runs on your machine. Nothing is uploaded anywhere.

A TypeScript MCP server for interacting with CDISC Define-XML 2.0 and 2.1 files, enabling users to load, search, and retrieve clinical data metadata including datasets, variables, and codelists. It supports local file processing with document caching and provides responses in both JSON and Markdown formats.

MCP server for connecting Claude Desktop to a local medical knowledge base with real-time file watching, enabling natural language interaction with medical documents.

Enables design-correct, conversational analysis of NHANES public-use data by automating file discovery, merging, weight selection, pooling, survey variance estimation, and mortality-linked Cox models.

Enables searching, retrieving, and downloading protein structure data from the RCSB Protein Data Bank. Supports intelligent protein structure search, comprehensive data retrieval, and multiple file format downloads for bioinformatics research.

An MCP server that provides a toolbox for interacting with EPA SWMM stormwater models, enabling users to analyze model data and interpret results through LLM-driven tools. It assists stormwater modelers in understanding hydraulic systems and modeling behavior using natural language interfaces.

A local-first, model-agnostic MCP server that stores personal health data in a SQLite file and provides analysis-ready views for any AI client to log, retrieve, and reason over health records.

Provides access to Allen Institute for Neural Dynamics (AIND) metadata and data assets through MongoDB queries, aggregation pipelines, NWB file exploration, and AI-powered data summaries.

Enables AI assistants to perform quality control analysis on high-throughput sequencing data using FastQC and MultiQC. It supports single-file and batch processing of FASTQ/FASTA files and generates comprehensive, interactive summary reports.

A Model Context Protocol (MCP) server that enables AI agent access to Synapse entities such as Datasets, Projects, Folders, Files, Tables, and more.

Exposes seven typed MCP tools that let clients screen lab results for delta checks, trends, HIL interference, implausible combinations and patient-based QC, retrieve results and patient trends, inspect the case review queue and evidence packets, check PBRTQC status, and file agent proposals for human approval. Every suspicious case is queued for pathologist review, and no tool ever releases, verifies or autoverifies a result.

Analyzes a consumer raw DNA file (AncestryDNA, 23andMe, MyHeritage, FTDNA, LivingDNA, VCF) entirely on the user's machine: Y and mtDNA haplogroups, traits, ClinVar scan, PharmCAT pharmacogenomics, and a plain-language report. Tools: analyze, summary, section, lookup, narrative_prompt/set_narrative, clinvar_findings, pharmacogenomics. Nothing is uploaded.

Provides AI assistants with access to microbial type strain genome data, including species information, 16S rDNA sequences, functional annotations, statistics, and citation/usage guidance.

Enables users to query and manage a medicine-access request file by checking status, owner, and due date, listing open requests, and updating owner or open/closed status. Provides spoken-safe payloads for MCP clients and Alexa.

Enables agents to compute Ocular Protection Index and tear film breakup dynamics from NIBUT, blink rate, and incomplete blink data, producing digital asthenopia risk scores and ergonomic microbreak and blink-coaching guidance for extended screen work.

Enables assessment of tear film breakup dynamics, Ocular Protection Index, blink behavior, and digital asthenopia risk during screen work, returning corneal exposure analysis and ergonomic microbreak/blink coaching recommendations.

Connects AI assistants to LabArchives electronic lab notebooks, enabling querying, semantic search, page navigation, and file uploads with provenance tracking.

Provides FHIR Implementation Guide facts via MCP tools, enabling querying of must-support, bindings, constraints, and value-set usage from StructureDefinition artifacts for conformance and testing support.

Provides a RESTful API to query laboratory inventory data from MongoDB, including stock levels, expiration tracking, and purchase suggestions. It is specifically designed to optimize token usage for AI assistants through dedicated tool endpoints for inventory management.

Enables searching and retrieving detailed medical knowledge on diseases, vaccines, medical examinations, and treatments, supporting health-related queries and medical concept understanding.