Teachable (Extended) MCP Server for Pydantic AIGive Pydantic AI instant access to 7 tools to Create User, List Courses, List Pricing Plans, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Teachable (Extended) through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this MCP Server for Pydantic AI
The Teachable (Extended) MCP Server for Pydantic AI is a standout in the Ecommerce category — giving your AI agent 7 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Teachable (Extended) "
"(7 tools)."
),
)
result = await agent.run(
"What tools are available in Teachable (Extended)?"
)
print(result.data)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Teachable (Extended) MCP Server
Connect your Teachable school to any AI agent to streamline your course management and student operations through natural conversation.
Pydantic AI validates every Teachable (Extended) tool response against typed schemas, catching data inconsistencies at build time. Connect 7 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Course Management — List all courses, filter by name, author, or publication status to keep track of your curriculum.
- User Operations — List, create, and update users. Search for students by email and manage their profiles without leaving your chat.
- Financial Tracking — Query transactions to monitor sales, refunds, and chargebacks across specific courses or users.
- Pricing & Plans — Access available pricing plans to understand your school's offer structure.
- Webhook Monitoring — List registered webhooks to ensure your external integrations are correctly configured.
The Teachable (Extended) MCP Server exposes 7 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 7 Teachable (Extended) tools available for Pydantic AI
When Pydantic AI connects to Teachable (Extended) through Vinkius, your AI agent gets direct access to every tool listed below — spanning online-courses, lms, student-management, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create user on Teachable (Extended)
Email is required. Create a new user in the Teachable school
List courses on Teachable (Extended)
Can be filtered by name, publish status, or author. List all courses in the Teachable school
List pricing plans on Teachable (Extended)
List pricing plans in the Teachable school
List transactions on Teachable (Extended)
Can be filtered by user, course, affiliate, dates, or refund/chargeback status. List transactions in the Teachable school
List users on Teachable (Extended)
Can be filtered by email. Use search_after for pagination beyond 10,000 records. List all users in the Teachable school
List webhooks on Teachable (Extended)
List all registered webhooks
Update user on Teachable (Extended)
Update an existing user in the Teachable school
Connect Teachable (Extended) to Pydantic AI via MCP
Follow these steps to wire Teachable (Extended) into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Teachable (Extended) MCP Server
Pydantic AI provides unique advantages when paired with Teachable (Extended) through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Teachable (Extended) integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Teachable (Extended) connection logic from agent behavior for testable, maintainable code
Teachable (Extended) + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Teachable (Extended) MCP Server delivers measurable value.
Type-safe data pipelines: query Teachable (Extended) with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Teachable (Extended) tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Teachable (Extended) and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Teachable (Extended) responses and write comprehensive agent tests
Example Prompts for Teachable (Extended) in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Teachable (Extended) immediately.
"List all courses that are currently published in my school."
"Create a new user with the email 'newstudent@example.com' and name 'John Doe'."
"Show me the recent transactions for course ID 554433."
Troubleshooting Teachable (Extended) MCP Server with Pydantic AI
Common issues when connecting Teachable (Extended) to Pydantic AI through Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiTeachable (Extended) + Pydantic AI FAQ
Common questions about integrating Teachable (Extended) MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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