"Reading Microsoft OneDrive files" matching MCP servers:

Reads raw lab-instrument files (microscopy, mass spectrometry, chromatography, flow cytometry, NMR, electrophysiology, spectroscopy, plate readers, qPCR) without vendor software, returning metadata, images, spectra and traces as JSON. It also checks files for damage, runs common analyses, and exports to open formats such as OME-TIFF, OME-Zarr, mzML, Parquet and NWB.

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.

Enables interaction with Open Dental practice management software, allowing reading of patients, appointments, providers, procedures, and recalls, as well as writing communications back to patient charts via MCP clients.

Enables reading a patient's own Epic MyChart portal data — test results, medications, allergies, immunizations, health issues, goals, visits, messages, insurance, care team and billing — by relaying requests through the signed-in browser tab or signing in server-side with human-in-the-loop MFA. It also lets the active patient reply to Message Center conversations after an explicit confirmation step.

Retrieve genomic data from EGA, ENA, ENCODE, GEO and NCBI, read bounded regions from indexed BAM/CRAM, VCF and bigWig files, and query source-attributed reference evidence. Runs locally with 23 MCP tools. MIT-licensed; research use.

MCP server for ezyVet veterinary practice management. Enables reading and creating animals, contacts, appointments, consults, and invoices via natural language.

Enables AI agents to build, validate, run, and analyze EEG/BCI pipelines, including uploading EEG data, inspecting datasets and files, running experiment campaigns, and managing live EEG streaming sessions.

Enables AI assistants to query ClinicalTrials.gov and PubMed for research evidence, and to compare regulatory document changes against internal files, with strict read-only access and no ability to modify or export data.

Enables analysis of FTIR spectra by accepting peak lists, natural-language descriptions, or base64-encoded spectrum files and returning spectral-library candidates from the FTIR.fun API.

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.

Enables read-only access to Chinese FHIR electronic health records, including patient summaries, medication review context, record queries, and attachment reading, along with controlled CSV import and status tools.

An interface for the Nipoppy neuroimaging framework that enables AI agents to list files and manage clinical datasets. It facilitates interaction with neuroimaging data organized according to the Brain Imaging Data Structure (BIDS) standard.

Enables searching and reading curated health and medicine RSS/Atom feeds, with the ability to fetch any feed URL.

Enables AI assistants to generate, validate, and optimize PLUMED input files for molecular dynamics simulations using a set of MCP tools.

Enables AI assistants to generate, validate, and optimize PLUMED input files for molecular dynamics simulations, with templates and performance suggestions.

A local-first MCP server that annotates whole-genome VCF files and lets you query pharmacogenomics, disease risk, and carrier status through natural language.

Enables AI assistants to validate CSV exports against schemas, infer schemas from example files, profile datasets, and diff before/after exports for lab/LIMS data-quality checks.

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 natural language interface for single-cell RNA-Seq analysis using Liana. Supports reading/writing scRNA-Seq data, cell-cell communication analysis, and visualization through circle plots and dotplots.