"Datadog - A monitoring and analytics platform for developers and IT operations" 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.

An MCP server for rehabilitation monitoring that provides tools for patient risk scoring, outcome analysis, report generation, alerts, and research search, along with prompts and CSV data resources.

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.

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 scenario-based clinical communication practice through MCP tools for discovering scenarios, starting sessions, sending practitioner turns, and receiving evidence-linked evaluation feedback.

MyChart MCP Server

Enables genomic sequence analysis through the Evo 2 model, supporting DNA sequence scoring, embedding, generation, and variant effect prediction with multiple model checkpoints (7B, 40B, 1B parameters).

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

Enables variant annotation and effect prediction using the Ensembl VEP API, with support for batch and single queries.

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 Alexa+ users to coordinate household pet care by logging feeding, medication, activity, litter, and health observations for dogs and cats, with evidence-grounded triage, Q&A, and daily briefings backed by a verified veterinary library and citations.

An open source biomedical research agent that provides LLMs with 28 tools for drug discovery, protein analysis, literature search, medical imaging, omics, and sandbox execution, all running locally via Ollama and MedGemma.

An educational healthcare assistant MCP server that provides medication information, interaction checks, symptom guidance, and health topic searches using local data and a local LLM.

A runnable MVP for onboarding enterprise tenants and agents, exposing governed health capabilities through MCP, storing downstream credentials, and monitoring tool activity from an analytics dashboard.

This server enables interacting with the National Digital Health Mission's Health Information User (HIU) API, allowing agents to access and manage health information through the Multi-Agent Conversation Protocol.

Enables Claude Desktop to securely access FreeStyle LibreLink continuous glucose monitoring data, providing real-time readings, historical analysis, and health insights through natural language queries.

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

Enables read-only interaction with DHIS2 health data by searching indicators and querying compact analytics results, designed for small local models.

Official MCP server for the Vocametrix voice analysis API. Gives AI assistants direct access to clinical voice metrics (AVQI, DSI, jitter/shimmer, CPP), pronunciation assessment, speech transcription, prosody similarity, and AI-powered therapy planning. More than 40 endpoints for SLPs, voice researchers, and healthtech developers.

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