Enables LLMs to perform statistical analysis and generate ML predictions on user data from databases or CSV files through a Model Context Protocol server.
A Model Context Protocol server that provides health data from the Senechal API to LLM applications, enabling AI assistants to access, analyze, and respond to personal health information.
An enhanced Model Context Protocol server that enables LLMs to inspect database schemas with rich metadata and execute read-only SQL queries with safety checks.
Implements the Model Context Protocol to provide LLMs with tools for interacting with Supabase databases, supporting operations like reading, creating, updating, and deleting records with filtering and pagination capabilities.
A Model Context Protocol server providing AI assistants with access to healthcare data tools, including FDA drug information, PubMed research, health topics, clinical trials, and medical terminology lookup.
A Model Context Protocol server that enables LLMs to interact with databases (currently MongoDB) through natural language, supporting operations like querying, inserting, deleting documents, and running aggregation pipelines.