How to Use the AMcards MCP in CrewAI

Q: Can a CrewAI agent choose AMcards templates dynamically?

Yes. The agent calls listcardtemplates to view available designs, matches the template to the lead's profile, and triggers the print job.

Q: How do I restrict CrewAI from spending too much on AMcards?

Use MCPServerHTTP with a filter to expose only safe tools like listcardtemplates, keeping the actual mailing tools restricted to specific supervisor agents.

Run autonomous agent crews that research leads and send physical greeting cards using CrewAI and this MCP Server.

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Connect AMcards MCP to CrewAI

Create your Vinkius account to connect AMcards 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.

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Setup AMcards with CrewAI

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Delegate physical card tasks within a CrewAI team

This MCP Server acts as the physical execution arm for your multi-agent crew, allowing specialized agents to use `send_greeting_card`. One agent writes the personalized message while another selects the template. By separating research from execution, your CrewAI setup avoids sending generic cards. The writer agent drafts custom copy based on CRM data, then hands the task to the mailing agent.

Coordinate drip campaigns across agent roles

Manage ongoing physical touchpoints using `trigger_drip_campaign` and monitor active sequences with `list_drip_campaigns`. Your coordinator agent checks history while your action agent starts new print cycles. CrewAI shares context across agents, meaning the mailing agent knows if a lead already received a card by checking `get_card_sending_history` before starting a new campaign.

Verify connection status autonomously

Maintain system reliability during autonomous runs using `check_api_health` and monitor webhooks with `list_configured_webhooks`. A supervisor agent runs these checks before initiating large-scale mailing tasks. If the API is unreachable, the crew pauses operations and logs the warning. This keeps your autonomous workflows from failing blindly in background terminal runs.

Setup guide

Set up AMcards 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 AMcards tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent AMcards 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="AMcards Analyst",
        goal="Access and analyze AMcards data via MCP.",
        backstory="Expert analyst with direct AMcards access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent AMcards 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 AMcards. 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.

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Common questions about AMcards MCP in CrewAI

Pass your Vinkius URL directly into the agent's configuration. CrewAI handles the transport layer automatically behind the scenes.

Yes. The agent calls `list_card_templates` to view available designs, matches the template to the lead's profile, and triggers the print job.

Use `MCPServerHTTP` with a filter to expose only safe tools like `list_card_templates`, keeping the actual mailing tools restricted to specific supervisor agents.

Yes. CrewAI supports Streamable HTTP and SSE transports, allowing your agents to run inside serverless containers or local terminals.

Yes. Recipient names, street addresses, and message histories are processed in an ephemeral zero-trust V8 sandbox. No contact records or API keys are stored on Vinkius servers.

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