"PostHog: Open-source product analytics platform" matching MCP servers:

Enables AI assistants to interact with the Open Targets Platform API to search and retrieve comprehensive data about target-disease associations, drugs, genes, and drug discovery information through GraphQL queries.

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 AI coding agents to perform end-to-end medical image analysis locally, from inspecting CT/MRI/X-ray studies and running containerized segmentation models like MedSAM2, TotalSegmentator, and HD-BET to refining masks, measuring volumes, and writing reports. It pairs preset or custom guideline protocols with a code-customizable viewer that renders images back to agents as annotated PNGs and to humans as interactive HTML.

Enables comprehensive healthcare data analysis using Tuva Health demo data with tools for value-based care analytics, quality measures, utilization analysis, and financial metrics. Supports patient demographics, PMPM analysis, chronic conditions tracking, readmissions analysis, and HCC risk scoring through BigQuery integration.

Enables AI-driven pharmacogenomic analysis by querying structured genetic variant, drug response, and disease risk data. Supports natural language questions about medications, traits, and health risks based on user genome data, with privacy-first local execution.

Read-only access to a curated, evidence-labelled corpus of mTOR research: studies, entities, signed pathway relations with supporting and conflicting evidence, and open questions.

Exposes clinical question answering, guideline search, and minimum-necessary FHIR patient context as tools to any MCP client.

Integrates healthcare data from multiple sources (HL7 v2, FHIR, DICOM, device telemetry) and provides clinicians with secure, role-based access to patient context, care unit summaries, device events, diagnostic exams, and other clinical data through specialized MCP tools.

Enables deterministic audiological evaluation of cochlear outer hair cell function, clinical pass criteria, and early noise-overexposure indicators through JSON-RPC tools for LLM and autonomous agent workflows.

Provides a six-tool research-assistance workflow for CRC-LNM cases using precomputed CT, pathology features, and clinical values. Enables multimodal analysis and research queries on deidentified cases.

A learning MCP server providing synthetic FHIR patient data with read tools and a gated write workflow (propose → human approve → commit) with structured audit logging.

Enables MCP-compatible AI assistants to look up clinical variants and batch-annotate NGS spreadsheet outputs via ClinVar, gnomAD, and VarSome. Provides tools for variant lookup, Excel inspection, and folder-level batch processing.

Explains why two scientific papers disagree. A contradiction explorer for bench scientists that compares two studies' designs and grounds every claim in a verbatim quote from the source text.

Enables querying Anvisa's open data for drug registration status and recent medical devices, with heuristic AI-use classification using a locally hosted LLM.

Enables MCP-compatible agents to answer open questions about NHS provider performance using live waiting-time data from RTT and My Planned Care, supplemented by CQC quality ratings.

Enables read-only consultation of the latest published content on AI applied to medicine—articles, news, podcasts, lessons, events, conferences and repositories—through tools to list recent items, search by topic, and open item summaries with links.

Condition-aware ingredient & product safety intelligence for AI agents. Every answer carries a claim-level evidence attestation, verdict, an evidence tier, and a citation – curated against authoritative sources (LactMed, InfantRisk, PubMed, DSLD, DermNet, EU CosIng) by Health AI. Hosted MCP server – no install, no key. Endpoint: https://mcp.healthai.com (Streamable HTTP, JSON-RPC 2

An MCP server that provides direct access to PubMed and PubMed Central via the NCBI E-utilities API. It enables AI models to search biomedical literature, retrieve detailed article metadata, and download open-access full texts.

Enables searching biomedical images (X-rays, CT/MRI, clinical photos, etc.) from the Open-i database using natural language queries, returning image results as Markdown links.

Provides structured PubMed literature data for LLM agents, supporting search, caching, and open-access full-text downloads via the MCP protocol.

MCP server to batch download open-access PDFs from PubMed Central (PMC), supporting PMCID/PMID lookup, parallel downloads, and download reports.

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 checking whether a medicine has a reported shortage in Portugal (Infarmed monitoring, export-suspension and prior-notification lists) and finding pharmacies in a municipality that are on duty today or open now, with addresses, phone numbers and distances. Also surfaces the relevant help lines and next steps, read-only from public sources and without pharmacy stock data.

Enables MCP clients to annotate and classify single human genetic variants in any notation, returning an auditable points-based ACMG verdict with its criteria, gnomAD frequencies, in-silico predictors, ClinVar data, and per-transcript consequences. It is read-only, requires no account or API key, and keeps answers compact while linking back to the source.

Enables read-only FHIR access to Practice Fusion EHR to search patients, appointments, conditions, medications, and lab results.

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 users to search multiple public life-science data repositories (GEO, ENA, CELLxGENE, PRIDE, DataCite) with a single query, returning a unified ranked list of datasets with ontology-expanded terms and per-source error reporting.

Enables querying FDA regulatory metadata for drugs, biologics, and medical devices through the openFDA API, including resolving application numbers and product names to authoritative regulatory details.

Connects DHIS2 health information systems to AI assistants via the Model Context Protocol, enabling natural language queries for analytics, metadata, and tracker data.

Enables AI agents to resolve and cross-reference biological entities such as genes, proteins, and aliases across authoritative databases like HGNC, NCBI Entrez, and UniProt, with confidence scores and source citations.