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

Name: Teachable (Extended)
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Connect your CrewAI agents to Teachable (Extended) through Vinkius, pass the Edge URL in the `mcps` parameter and every Teachable (Extended) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Teachable (Extended) Specialist",
    goal="Help users interact with Teachable (Extended) effectively",
    backstory=(
        "You are an expert at leveraging Teachable (Extended) tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Teachable (Extended) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 7 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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About Teachable (Extended) MCP Server

Connect your Teachable school to any AI agent to streamline your course management and student operations through natural conversation.

When paired with CrewAI, Teachable (Extended) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Teachable (Extended) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI

When CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 7 tools from Teachable (Extended)

Why Use CrewAI with the Teachable (Extended) MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Teachable (Extended) through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Teachable (Extended) + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Teachable (Extended) for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Teachable (Extended), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Teachable (Extended) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Teachable (Extended) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Teachable (Extended) in CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Teachable (Extended) + CrewAI FAQ

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

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.