Overview
Model Context Protocol (MCP) is an open-source standard that allows large language models (LLMs) - like Claude or ChatGPT - to securely connect to external apps, APIs, and data sources.
When we talk about the Teachable MCP, you can think of it as a bridge between your Teachable school and your favorite AI tools. With MCP, you can let an AI assistant access specific parts of your Teachable data (like student lists, course info, or sales reports) and help you take action, without leaving your chat window.
What Can You Do With MCP?
Provide AI with raw data from your Teachable account (like student lists, courses, or transactions).
Example: “Show me all students enrolled in my Marketing 101 course.”
Define actions AI can take using your data.
Example:
“Enroll Sarah Johnson in my new course.”
“Generate a weekly revenue summary.”
Create custom workflows or templates that guide AI through multi-step tasks, combining reasoning, context, and your data.
Example: “Which of my courses had the lowest engagement last month, and how can I improve it?”
Why MCP Matters for Teachable Creators
MCP allows creators to bring AI deeper into their workflow, making it more contextual, data-informed, and action-driven.
Here are some examples of what becomes possible:
Manage your school through AI
Ask your AI assistant to:
Enroll or unenroll students
Retrieve student engagement data
Check course performance metrics
Forecast subscription revenue based on transactions
Get insights and recommendations
Use AI to analyze your data and uncover opportunities for growth. Ask questions like:
“Which of my courses have the highest completion rates?”
“Who are my most active students this week?”
“What topics are students most engaged with?”
“Analyze my students’ progress across all my courses and identify who might be ready for an advanced course.”
“Create a visual summary of student engagement by course.”
“Based on my transaction data, what trends should I be aware of this month?”
Act as your business advisor
“Act as my business advisor. What insights can you tell me about my sales and transaction data?”
“Based on my course, coaching, and digital download products, create a tiered membership strategy that encourages upgrades.”
“Help me price my membership tiers to balance accessibility and revenue growth.”
Automate repetitive tasks
MCP can help you streamline day-to-day work:
Generate reports on demand
Get notified about performance trends
Draft or update course descriptions
Automate marketing tasks like sending follow-up emails or tracking conversions
Example Prompts to Try
Once your MCP setup is live, try asking your AI assistant:
“Tell me about the tools available to manage my teachable school.”
“List my most engaged students from the past month.”
“Which courses have the highest drop-off rates?”
“Recommend ways to improve my course based on student engagement data.”
“Enroll student John Doe in Introduction to Marketing.”
“Forecast my subscription revenue for the next 3 months.”
Security and Privacy
We take data privacy seriously. When you use the Teachable MCP:
Access is secured with your personal API key.
You can revoke or regenerate access anytime.
No private data is shared without your explicit permission.
FAQ
What is MCP in simple terms?
It’s a universal connector that lets AI tools like Claude or ChatGPT safely “talk to” your Teachable data, so they can help you take action or answer questions with real context.
Do I need to know how to code?
No. Once the MCP server is set up, you can use prebuilt prompts and tools directly in your AI assistant, no coding required.
Is my data safe?
Yes. Access is secured via your Teachable API key, and you can always control or revoke permissions.
What can I do today?
You can request access to experiment with the MCP server today. Complete this form to join the waitlist!
For this first round of feedback, we’re only opening this up to users on our Growth plan and above, as the MCP server requires API access to connect to your school.
Once you complete the form, we’ll follow up with an email containing a link to the package file and clear installation instructions.
It will be experimental at first, but it’s our way of giving you early access to what’s coming — and shaping this future alongside you.
What do I need to get started?
The MCP server currently runs locally and is compatible only with Claude.
What’s next?
We’re currently rolling out the MCP to a limited group of users to gather feedback before a wider release. Looking ahead, we’re exploring advanced use cases such as:
Building Claude skills that can be shared and downloaded
Integrating with tools like Intercom for real-time support
Helping you repurpose existing content into new learning experiences
In Summary
MCP lets Teachable creators bring AI directly into their workflow, to analyze data, automate tasks, and make better decisions faster.
Whether you want to optimize your business or simply save time on admin work, MCP helps your AI tools work with your Teachable data, not around it.