How do I connect my own AI models via MCP?

# How do I connect my own AI models via MCP?

Coming soon: connect the AI models and agents you already use, such as Claude, Gemini, GPT, and Mistral, over MCP.

Coassemble is building support for MCP (the Model Context Protocol) so you can connect the AI tools and agents you already work with, instead of being limited to Coassemble's built-in AI. It's not available yet, but here's the idea.

## What this will let you do

- **Use the model you prefer.** Build and update courses with the AI you already work in, such as Claude, Gemini, GPT, or Mistral.  
- **Let a connected agent do the work.** An agent connected over MCP will be able to create and update courses for you programmatically.  
- **Stay flexible.** You won't be locked to a single model, so you can keep using the tools you use now and adopt new ones as they appear.

## Frequently asked questions

### Is this available now?

Not yet. MCP support is coming soon, and the details here describe the concept and may change before release.

### Which AI models will it work with?

It's designed to work with the AI models and agents you already use, like Claude, Gemini, GPT, and Mistral, rather than tying you to one.

### Will I still be able to use Coassemble's built-in AI?

Yes. Connecting your own model will be an additional option alongside Coassemble's built-in AI.

Connect via MCP

Coassemble's AI: how it builds courses, screens, quizzes, images and narration, and how you stay in control.

AI overview

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Generate a screen

Edit with AI

AI image generation

Narration

Brand voice

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Bring your own key

The model that builds

Getting started in 5 minutes

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aNewSpring

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Slack

Connect with the API

Connect your AI model

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Resources specifically for Embed (previously referred to as Headless course creation). These are resources that previously lived on the Headless Resources Hub.

Coassemble Embed Partner Security, Data Protection & AI FAQ

Default usage caps for clients

Managing tenant caps

Accessibility guide

AI and Data Security for Coassemble Embed Partners

Coassemble vs. Articulate: Feature comparison guide for course authoring teams

Coassemble is WCAG 2.2 Level AA Conformant

Competitor analysis

Designing effective microlearning courses

How to access and interpret the Headless usage report

How to handle competitor objections when positioning your Embed solution

Guide to pricing models for Coassemble Embed and key competitor benchmarks

Sales enablement guide: Driving user adoption

Customer testimonials for Coassemble Embed course creation (sales enablement)

Our mission: Barrier-free knowledge transfer (partner-friendly positioning language)