"Automating File Processing and Communication Tasks" matching MCP servers:

MyChart MCP Server

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.

Enables LLM-based agents to interact with FHIR healthcare data through natural language prompts, providing full CRUD operations on FHIR resources, document processing, and semantic search capabilities.

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.

Enables querying simulated healthcare professional engagement data from Supabase, including HCP profiles, interactions, consent status, prescribing trends, and segment analytics through natural language.

MCP server for MestReNova 15 that enables processing 1D NMR data, importing ChemDraw structures, running Mnova Verify, and writing back assignments with audit trails.

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.

A Model Context Protocol server that provides AI agents with a unified interface for real-time EEG acquisition, replay, processing, visualization, recording, and stimulation from over 66 BrainFlow boards.

MCP server for OpenBCI hardware via BrainFlow, enabling board connection, streaming, signal processing, and export with a web dashboard.

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 LLM-driven tool execution with policy-gated authorization, deterministic verification, and replay for radiographic measurement and SQL repair tasks.

Enables AI assistants to perform cell segmentation through natural language commands, including 2D/3D segmentation, batch processing, image restoration, and custom model training.

Provides read/write access to any FHIR-compliant healthcare API with built-in validation, supporting resource management, search operations, and granular permissions through natural language.

An MCP server that connects AI assistants to OpenEMR instances to manage patient records, clinical trends, and medication safety. It provides 17 tools for tasks such as patient search, drug interaction checks, and generating comprehensive health trajectories and visit preparations.

Enables Claude, ChatGPT and other MCP clients to read practice-management data including organization, clinicians, diaries, availability, bookings, patients, invoices, payments, staff tasks, services, and locations, and optionally create staff tasks, create bookings, and cancel bookings.

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.

This MCP server provides 16 intelligent tools for searching, retrieving, and linking biomedical literature from PubMed and PMC. It enables LLM applications to perform complex queries, batch processing, and cross-database linking.

MCP server for mapping clinical terminology to OMOP concepts using LLMs, with vocabulary search and batch processing capabilities.

Natural language-driven spatial transcriptomics analysis via MCP. Integrates 60+ methods for preprocessing, visualization, spatial statistics, cell communication, deconvolution, and trajectory analysis.