How to Use the Moneypenny MCP in CrewAI

Deploy autonomous agent crews using CrewAI to manage your business communications and live chat responses.

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Connect Moneypenny MCP to CrewAI

Create your Vinkius account to connect Moneypenny 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 Moneypenny with CrewAI

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Perplexity

Collaborative agent monitoring

Assign a dedicated monitor agent to watch your call volume using `get_today_calls`. This allows your team to stay ahead of customer needs while other agents handle the actual follow-ups. By splitting these tasks, your crew operates more efficiently. The shared memory in your team ensures every agent knows the latest status.

Autonomous chat management

Let your agents pull live conversations with `get_this_week_chats` to perform trend analysis. Your moderator agent can identify common issues and escalate them to human staff when necessary. This removes the need for someone to watch the inbox constantly. The agents handle the routine work, leaving you to manage the high-level strategy.

Scalable operational visibility

Get a bird's-eye view of your business with `get_activity_summary`. Your research agents can pull this data to create reports that summarize your daily receptionist performance. It gives your crew the context they need to make smart decisions. Everything is automated, meaning your agents are always acting on fresh data.

Setup guide

Set up Moneypenny 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 Moneypenny tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Moneypenny 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 Moneypenny. 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 Moneypenny MCP in CrewAI

You include the server endpoint in your agent's MCP configuration list. The framework will then detect and expose the tools to your crew members.

Your agents can read the messages and take actions based on them. You define the logic that dictates how the crew reacts to the data retrieved.

It does. You can use tool filters to ensure specific agents only have access to the tools they need, like `list_call_messages` for your research agent.

We enforce strict transport security for all tool calls. Only your authorized agent processes have access to the specific chat and call logs being retrieved.

Yes, once the server is connected, every agent in your crew can call the tools as needed. This allows for hierarchical execution where agents collaborate on the data.

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