"Plausible Analytics" matching MCP servers:

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.

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

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

Enables AI assistants to access and analyze Continuous Glucose Monitor (CGM) data from Nightscout, providing real-time readings, history, and analytics.

Enables comprehensive interaction with DHIS2 health information systems through 40+ tools covering complete Web API functionality. Supports data management, tracker programs, analytics, and bulk operations for DHIS2 development and administration.

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.

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.