How to Use the Learn Amp MCP in CrewAI

Q: How do I filter Learn Amp tools for specific CrewAI agents?

You can use the toolfilter option in your agent setup. This ensures that only agents needing to update records can access updateuser, while others are restricted to read-only tasks.

Deploy a specialized crew of agents with the Learn Amp MCP Server to automate your entire people development lifecycle.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Learn Amp MCP to CrewAI

Create your Vinkius account to connect Learn Amp to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Learn Amp with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Assign specialized tasks to your CrewAI agents

Create a team where one agent researches pathways with `list_learnlists` while another tracks progress using `list_items`. This role-based approach gets work done faster. Your agents collaborate using shared memory, allowing the team to make informed decisions based on real-time data. It turns manual admin work into an autonomous operation.

Scale user management with autonomous teams

Set up a monitor agent to watch for new hires and call `create_user` automatically. You can chain these actions to ensure consistent onboarding across your firm. This removes the bottleneck of manual entry. Your agents run in the background, keeping your Learn Amp instance current and accurate 24/7.

Maintain compliance with automated reporting

Use `get_user` and `list_verbs` to generate reports on skill acquisition. A moderator agent can review these findings and escalate issues to human managers if needed. It keeps your records clean and ensures everyone is on track. You get the benefits of constant oversight without the overhead of checking every individual manually.

Setup guide

Set up Learn Amp MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Learn Amp tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Learn Amp Analyst",
    goal="Access and analyze Learn Amp data via MCP.",
    backstory="Expert analyst with direct Learn Amp access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Learn Amp transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Learn Amp Analyst",
        goal="Access and analyze Learn Amp data via MCP.",
        backstory="Expert analyst with direct Learn Amp access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Learn Amp transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Learn Amp. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Learn Amp now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Learn Amp MCP in CrewAI

Yes, you can assign the server to an entire crew. Each agent can then use tools like `get_learnlist` to perform its specific part of the development plan.

You can use the tool_filter option in your agent setup. This ensures that only agents needing to update records can access `update_user`, while others are restricted to read-only tasks.

It works perfectly in both sequential and hierarchical modes. The manager agent can oversee the execution of `complete_item` across your entire employee list.

Yes, just pass the server URL to your agent definition. As long as your environment can reach the endpoint, your crew will have full access to the tools.

Your Learn Amp data is restricted to the agents you authorize. Since the server requires an endpoint token, only your specific crew can pull account details like `get_user`, ensuring no unauthorized access to sensitive employee records.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript