Choosing the right MCP integration path for integration partners

This playbook explains how integration partners should work with Keragon MCP.

It helps you determine whether you should build an MCP client or a Keragon connector, clarifies Keragon’s role in the architecture, and shows how your product will appear inside Keragon. It is designed to eliminate confusion and help you choose the correct integration path before starting development.

Who this is for

This playbook is for integration partners evaluating how to work with Keragon MCP and unsure whether they should:

  • Build their own MCP server

  • Build an MCP client

  • Build a Keragon connector

If you are evaluating your integration path, start here.

Note: Keragon acts as an MCP server

All supported integrations fall into one of two categories:

  • You connect to Keragon as an MCP client
  • You build a Keragon connector to expose your API as tools

Start here: What are you trying to achieve?

Choose the scenario that matches your desired path:

Scenario 1: You are an AI vendor and want your AI product to connect to EHRs, CRMs, or other healthcare systems

Scenario 2: You are a healthcare software vendor and want your product to be usable by AI tools through Keragon

Scenario 3: You want to build your own MCP server so Keragon can connect to it

Scenario 1: You're an AI vendor and want to connect your product to other external systems through Keragon

Example: You offer an AI assistant, agent platform, or automation tool and want your users to access healthcare systems through Keragon.

What this means

  • You are acting as an MCP client.

  • Keragon is the MCP server connecting your AI product to other external tools.

What you need to do

Follow the official MCP client onboarding process:

  • Complete the required questionnaire

  • Provide our team with a test account so we can confirm the integration works as expected

For the full process please read here.

How you will appear to Keragon users

Keragon users will be able to configure their MCP servers to connect to your MCP client like below.

 

Scenario 2: You are a software vendor and want your product to be usable by AI tools through Keragon

Example: You provide an EHR, CRM, billing platform, or other healthcare system and want AI agents (e.g. Claude, ChatGPT etc) to call your API through Keragon.

What this means

You need a Keragon connector.

Keragon will expose your connector’s components as MCP tools automatically.

Important

Any connector that exists in Keragon becomes usable:

  • Inside standard Keragon workflows

  • As a tool inside Keragon MCP

There is no separate MCP-only integration path.

What you need to do

Build a Keragon connector. You can build a connector self-served by visiting our Partner dashboard

This enables:

  • Workflow steps

  • MCP tool exposure

  • Visibility in Keragon as an integration

How you will appear to Keragon users

Keragon users can either use your connector to choose MCP tools or even as a normal workflow step

 

Scenario 3: You want to build your own MCP server so Keragon can connect to it

This is not supported. If your product can be connected via an API then probably you should choose Scenario 2 above and build a Keragon connector instead.

 

Need help?

If you have questions or would like feedback on your page , contact the Keragon partnerships team through your partner dashboard.

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