Bring Online Courses
to LangChain
Learn how to connect Teachable (Extended) to LangChain and start using 7 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Teachable (Extended) MCP Server?
Connect your Teachable school to any AI agent to streamline your course management and student operations through natural conversation.
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.
How it works
- Subscribe to this server
- Enter your Teachable API Key
- Start managing your e-learning platform from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Course Creators — quickly check enrollment numbers and student details while planning content.
- Support Teams — update student names or find transaction records instantly to resolve tickets.
- School Administrators — monitor the health of the school through transaction and webhook audits.
Built-in capabilities (7)
Email is required. Create a new user in the Teachable school
Can be filtered by name, publish status, or author. List all courses in the Teachable school
List pricing plans in the Teachable school
Can be filtered by user, course, affiliate, dates, or refund/chargeback status. List transactions in the Teachable school
Can be filtered by email. Use search_after for pagination beyond 10,000 records. List all users in the Teachable school
List all registered webhooks
Update an existing user in the Teachable school
Why LangChain?
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.
- —
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) in LangChain
Teachable (Extended) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Teachable (Extended) to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Teachable (Extended) in LangChain
The Teachable (Extended) 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. All 7 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Teachable (Extended) for LangChain
Every tool call from LangChain to the Teachable (Extended) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I search for a specific student using their email address?
Yes! Use the list_users tool and provide the email address as a filter. The agent will return the user's details, including their ID and signup information.
Is it possible to see if a transaction has been refunded?
Absolutely. The list_transactions tool allows you to filter by is_fully_refunded. You can also filter by course ID or user ID to narrow down your search.
Can I update a user's name if they made a typo during registration?
Yes. Use the update_user tool with the student's user_id and the new name. The agent will process the update and confirm the changes in your Teachable school.
How does LangChain connect to MCP servers?
Use 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?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
Explore More MCP Servers
View all →
Supabase Alternative
14 toolsManage Supabase projects, databases and secrets via API — create projects, configure Postgres, manage branches and secrets from any AI agent.
Adobe Customer Journey Analytics (CJA)
6 toolsOmnichannel journey insights — manage data views, connections, and reports via AI.
BrightMove
10 toolsManage your hiring pipeline via BrightMove — track jobs, applicants, and references directly from any AI agent.
Deterministic 50/30/20 Budget Engine
1 toolsTransform your AI into a hyper-precise financial controller. Mathematically enforce the 50/30/20 budgeting rule on pre-categorized expense pipelines to detect exact capital deviations.