Teachable (Extended) MCP Server for LangChainGive LangChain instant access to 7 tools to Create User, List Courses, List Pricing Plans, and more
GDPR Free for SubscribersLangChain is the leading Python framework for composable LLM applications. Connect Teachable (Extended) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this MCP Server for LangChain
The Teachable (Extended) MCP Server for LangChain 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
Geminiimport asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"teachable-extended": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Teachable (Extended), show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Teachable (Extended) through native MCP adapters. Connect 7 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain
When LangChain 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 LangChain via MCP
Follow these steps to wire Teachable (Extended) into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Teachable (Extended) MCP Server
LangChain provides unique advantages when paired with Teachable (Extended) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Teachable (Extended) MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Teachable (Extended) queries for multi-turn workflows
Teachable (Extended) + LangChain Use Cases
Practical scenarios where LangChain combined with the Teachable (Extended) MCP Server delivers measurable value.
RAG with live data: combine Teachable (Extended) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Teachable (Extended), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Teachable (Extended) tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Teachable (Extended) tool call, measure latency, and optimize your agent's performance
Example Prompts for Teachable (Extended) in LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Teachable (Extended) to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersTeachable (Extended) + LangChain FAQ
Common questions about integrating Teachable (Extended) MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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