Tools für Healthcare

Open-source research agent: one command runs literature reviews, deep research, paper reviews, paper-code consistency checks and replication plans, searching arXiv, PubMed and more with sources recorded. Good for grad students writing reviews. Run feynman setup to sign in to a model provider.

Official AWS MCP for managing FHIR health data in AWS HealthLake: CRUD, advanced search, full patient records, and import and export, with a read-only mode to prevent changes. Needs an AWS account, a paid HealthLake data store and local AWS credentials; clinical conclusions need professional review.

OpenAI's official Codex plugin that guides sequencing analysis from BCL/FASTQ: QC, RNA-seq differential expression, single-cell, variant calling and metagenomics, favoring nf-core and other public pipelines with reproducible run logs. Checks for local tools first. Research use only.

About 40 research skills from Google DeepMind: search arXiv, PubMed and OpenAlex, query UniProt, PDB, ClinVar, ChEMBL and more, run AlphaGenome variant analysis and render structures in PyMOL. Requires uv; AlphaGenome needs an API key, and keys raise limits for OpenAlex, ClinVar and others.

869 medical skills compiled by FreedomIntelligence from a dozen open-source libraries: SOAP notes, discharge summaries, drug interactions, clinical guidelines, PubMed/FDA lookups, genomics and device regulation. Made for OpenClaw, usable elsewhere; some need API keys. Doctors must review output.

550+ medical research skills from AIPOCH: PubMed search strategy, study design and sample size, statistics and bioinformatics, journal writing and reviewer responses, all vetted by MedSkillAudit. Some need Python/R or database credentials; have researchers and clinicians review results.

From Harvard Medical School's Zitnik Lab: one MCP connecting 1,000+ scientific tools and databases for drugs and targets, genes and proteins, clinical trials, FDA data and PubMed, for biomedical and drug research. Runs with uv; some sources need API keys; medical conclusions need expert review.

Self-hosted engine that maps lab results, checkup reports and wearable data to standard metrics so agents can chart trends, citing the source file for every number. uvx mirobody mcp gives the coding tools; full records need Docker and an LLM API key. A doctor should review results.

Plugin from Wiley in Anthropic's life sciences marketplace: connects the Scholar Gateway remote MCP for semantic search across Wiley's peer-reviewed journals, with answers carrying checkable citations and DOI links. Good for literature reviews. Needs a free Scholar Gateway account.

Anthropic's official healthcare plugin for the US system: extract data from clinical notes, assign ICD-10 and CPT/HCPCS codes, review prior auths, screen for fraud and draft trial protocols, with hosted CMS, NPI and PubMed connectors. FHIR access needs API rights; clinicians must review.

Anthropic's official skill for US prior auth review: checks records, provider credentials and codes, weighs medical necessity against Medicare policy, recommends approve, deny or pend and drafts the letter. Needs the healthcare plugin's CMS, NPI and ICD-10 connectors; clinicians confirm.

Anthropic's official skill that reads outpatient notes like a medical coder, decides which diagnoses to report and assigns billable ICD-10-CM codes as specific as the record allows, verified via the ICD-10 connector in the healthcare plugin. US outpatient; certified coder review required.

59 clinical research skills from a radiologist at Korea's Asan Medical Center: study design and sample size, de-identification, statistical figures, 49 reporting guidelines, risk-of-bias checks, citation verification and reviewer replies. Literature APIs need no key. Medical review required.

Connects any FHIR-compliant EHR server (e.g. the Epic sandbox or HAPI) to agents to search, read, create and update patient clinical data in plain language, with SMART on FHIR auth. By WSO2. Needs a FHIR server URL, access token and uv; clinicians must review results.

Runs locally with no API key: looks up drug labels and adverse events from FDA, EMA and DailyMed, plus WHO health statistics, PubMed papers, clinical trials and clinical guidelines, with auto-generated evidence-level tags on papers. Needs Node.js. Have a doctor or pharmacist verify results.

Connects to PACS and other DICOM servers: query images by patient, study and series, read text from PDF reports embedded in DICOM, and forward series to AI nodes such as segmentation. Needs uv and a YAML config. Not for clinical use or real patient data (per the author).

Searches 600,000+ studies registered on ClinicalTrials.gov, shows protocols and posted results (efficacy, adverse events), and matches patients to recruiting trials by age, sex, condition and location. Public data, no API key; needs Node.js 24+. Unofficial; results must be reviewed by a doctor.

42 official AWS skills for healthcare and life sciences: medical coding and terminology mapping, FHIR/HL7 parsing, claims and prior authorization rules, medical imaging, pharmacoepidemiology and genomics, per US standards. Some need local software. Not for clinical decisions; expert review required.

SNOMED International's official MCP: search and validate SNOMED CT terms, browse concept hierarchies and expand value sets in the International, US, UK, Australian and other editions. Hosted, no account. Unlicensed use is evaluation only, not for coding records. Clinicians should review.