Overview

b.well Health SDK for AI

The b.well Health SDK for AI enables large language model (LLM) applications to access b.well' through the Model Context Protocol (MCP). Using MCP, your AI applications connect to a b.well-hosted MCP server and gain access to a catalog of tools (agents). These tools allow LLMs to access b.well services, capabilities, and health data within your application's AI workflows

Choose the Health SDK for AI when you:

  • Build AI-powered healthcare applications with LLMs
  • Need to integrate patient health data into conversational AI workflows
  • Want to leverage pre-built healthcare agents without custom API integration
  • Are using MCP-compatible platforms (OpenAI, Anthropic, Google)

Integration At a Glance

  • Your AI application uses an MCP client to connect an LLM to the b.well-hosted MCP server (ex. OpenAI, Anthropic, or Google)
  • The b.well MCP server exposes a catalog of b.well MCP tools the model can call as needed
  • Each request is made on behalf of an authorized end user (see End-User Authentication)
  • The MCP server executes the request and returns structured results that the model can use

MCP Client Configuration Guides

b.well's MCP server works with MCP-compatible clients. All platforms access the same b.well tools and capabilities—only the client configuration differs.

Authentication: All MCP requests operate in an end-user context. Authentication setup can vary by LLM platform and is covered in each configuration guide below.

Select your platform for setup instructions:


MCP Tools (Agents) Catalog

Once your LLM is configured, it can invoke b.well tools to access user health data and various b.well services.

See the Tools / Agents Catalog for the complete list of available tools, parameters, and response formats.


💡 Tip: To support various user journey workflows, the Health SDK for AI can be combined with other End-User Application integration patterns to supplement the available MCP tools (agents).