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Teachable (Extended) MCP Server for LlamaIndexGive LlamaIndex instant access to 7 tools to Create User, List Courses, List Pricing Plans, and more

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Teachable (Extended) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this MCP Server for LlamaIndex

The Teachable (Extended) MCP Server for LlamaIndex is a standout in the Ecommerce category — giving your AI agent 7 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Teachable (Extended). "
            "You have 7 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Teachable (Extended)?"
    )
    print(response)

asyncio.run(main())
Teachable (Extended)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LlamaIndex agents combine Teachable (Extended) tool responses with indexed documents for comprehensive, grounded answers. Connect 7 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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

Create user on Teachable (Extended)

Email is required. Create a new user in the Teachable school

list

List courses on Teachable (Extended)

Can be filtered by name, publish status, or author. List all courses in the Teachable school

list

List pricing plans on Teachable (Extended)

List pricing plans in the Teachable school

list

List transactions on Teachable (Extended)

Can be filtered by user, course, affiliate, dates, or refund/chargeback status. List transactions in the Teachable school

list

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

List webhooks on Teachable (Extended)

List all registered webhooks

update

Update user on Teachable (Extended)

Update an existing user in the Teachable school

Connect Teachable (Extended) to LlamaIndex via MCP

Follow these steps to wire Teachable (Extended) into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 7 tools from Teachable (Extended)

Why Use LlamaIndex with the Teachable (Extended) MCP Server

LlamaIndex provides unique advantages when paired with Teachable (Extended) through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Teachable (Extended) tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Teachable (Extended) tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Teachable (Extended), a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Teachable (Extended) tools were called, what data was returned, and how it influenced the final answer

Teachable (Extended) + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Teachable (Extended) MCP Server delivers measurable value.

01

Hybrid search: combine Teachable (Extended) real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Teachable (Extended) to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Teachable (Extended) for fresh data

04

Analytical workflows: chain Teachable (Extended) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Teachable (Extended) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Teachable (Extended) immediately.

01

"List all courses that are currently published in my school."

02

"Create a new user with the email 'newstudent@example.com' and name 'John Doe'."

03

"Show me the recent transactions for course ID 554433."

Troubleshooting Teachable (Extended) MCP Server with LlamaIndex

Common issues when connecting Teachable (Extended) to LlamaIndex through Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Teachable (Extended) + LlamaIndex FAQ

Common questions about integrating Teachable (Extended) MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Teachable (Extended) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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