"Using Excel to Read and Import Data" matching MCP servers:

Enables secure natural language querying of a clinical SQL Server database using a local Ollama model, with strict SQL validation to protect sensitive data.

Enables searching the NIAID Data Ecosystem for biomedical research resources including datasets, clinical studies, and publications using Elasticsearch queries.

Enables natural-language querying of a mock legacy healthcare database and returns validated FHIR resources (Patient, Observation, Condition).

Enables a connected LLM to inspect brain MRI slices as crops and montages with coordinates, compare a region against its mirrored hemisphere, and review the pipeline's candidate hotspots. It lets the model write prioritised "area to review" annotations that appear live in the browser viewer, and move or read the clinician's crosshair position.

Enables querying a synthetic patient dataset with tools to look up patients by ID, age, disease, name, and get statistics, connecting Claude Desktop to local data.

Exposes four CMS public datasets as callable tools in Claude conversations, enabling natural-language real-world evidence analytics without SQL expertise.

Enables access to a synthetic hospital dataset through MCP, supporting SSE and STDIO transports, deployable to IBM Cloud Code Engine.

Source-provenanced US federal healthcare provider data over MCP. Resolve any NPI or CCN across NPPES, OIG LEIE, SAM.gov, state Medicaid exclusions, CMS PECOS, Care Compare, and Open Payments — every field carries a 14-field provenance contract, and an "excluded or compromised anywhere" check runs on every lookup.

Enables AI assistants to read COVID-19 lateral flow test results from photographs by calling a deployed computer-vision pipeline, returning verdicts like positive or negative with confidence.

Enables AI assistants to access and query ARTPARK's public health datasets including dengue epidemiology, livestock census, and FMD vaccination data through a structured 4-step workflow for data discovery and retrieval.

Enables natural language querying of healthcare claims data by exposing a SQLite database with read-only SQL tools, allowing users to ask questions in plain English and get answers backed by real database queries.

MyChart MCP Server

Provides tools for validating, listing, describing, and fetching Allotrope Simple Model (ASM) data formats for laboratory instruments.

Provides MCP tools for edge-based pharmaceutical shipment disposition decisions, returning release, review, or quarantine outcomes while recording every decision in a tamper-evident, hash-chained audit trail.

A remote MCP server that lets an LLM explore, query, aggregate, and benchmark the ~234 datasets in the CMS Provider Data Catalog — hospitals, dialysis facilities, nursing homes, home health, hospice, physicians, and more — in plain language.

This MCP server enables secure, read-only access to synthetic preventive-care patient records and bounded IRIS namespace health metrics through a small set of allowlisted, parameterized tools.

Enables AI agents to rank US healthcare organizations for clinical trial site feasibility, predicting patient accrual for a Graves' disease protocol using claims and registry data.

Enables MCP-compatible AI clients to validate healthcare claims data quality by running completeness, integrity, and temporal checks on CSV files via five callable tools, including profiling and full scans.

Enables natural language queries about Swiss mandatory health insurance coverage for medications and medical devices using official BAG lists.

Enables querying Brazilian PCDT clinical protocols from Conitec and generating concise, context-specific treatment summaries using a local LLM, with verified literal citations and links to official PDFs.