How do I quickly check today's call activity?

Use the `get_today_calls` tool for an instant view of all telephone messages received today, or `get_activity_summary` for a combined call and chat count.

Can I see chat conversations from the last week?

Yes! Use `get_this_week_chats` for a 7-day overview, or `list_chat_logs` with custom start and end times for any date range.

What authentication does Moneypenny require?

Moneypenny uses your portal email and password to generate a Bearer token automatically. The token refreshes every 24 hours.

INSTANT PLUG AND PLAY

Moneypenny MCP Server for CrewAIGive CrewAI instant access to 10 tools to Check Moneypenny Status, Get Activity Summary, Get Recent Chats, and more

Name: Moneypenny
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 10 Tools Framework

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

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

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The Moneypenny app connector for CrewAI is a standout in the Communication Messaging category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Moneypenny Specialist",
    goal="Help users interact with Moneypenny effectively",
    backstory=(
        "You are an expert at leveraging Moneypenny 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 Moneypenny "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

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

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* 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

About Moneypenny MCP Server

Connect your Moneypenny account to any AI agent and review your business communications through natural conversation.

When paired with CrewAI, Moneypenny becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Moneypenny 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

Call Messages — Browse telephone answering messages by day, week, month, or custom date range.
Live Chat Logs — Access live chat conversation transcripts with time-based filtering.
Activity Summary — Get a combined overview of today's calls and chats in a single dashboard view.
Time-Based Views — Instantly access today's, this week's, or this month's communications.

The Moneypenny MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 Moneypenny tools available for CrewAI

When CrewAI connects to Moneypenny through Vinkius, your AI agent gets direct access to every tool listed below — spanning virtual-receptionist, live-chat, call-answering, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_moneypenny_status

Verify Moneypenny API connectivity

get_activity_summary

Get a summary of all calls and chats for today

get_recent_chats

Returns all new chat conversations. Get the most recent live chat conversations

get_this_month_calls

Get all call messages from the current month

get_this_week_calls

Get all call messages from the past 7 days

get_this_week_chats

Get all live chat conversations from the past 7 days

get_today_calls

Get all call messages from today

get_today_chats

Get all live chat conversations from today

list_call_messages

Format dates as MM/DD/YYYY. List telephone answering messages by date range

list_chat_logs

Optionally filter by start and end time (ISO 8601). List live chat conversation logs by date range

Connect Moneypenny to CrewAI via MCP

Follow these steps to wire Moneypenny into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the 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 10 tools from Moneypenny

Why Use CrewAI with the Moneypenny MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Moneypenny 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

Moneypenny + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Moneypenny MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Moneypenny 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 Moneypenny, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Moneypenny 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 Moneypenny against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Moneypenny in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Moneypenny immediately.

"Show me today's call messages."

"Give me a summary of today's activity."

"Show me the live chat logs from this week."

Troubleshooting Moneypenny MCP Server with CrewAI

Common issues when connecting Moneypenny to CrewAI through the 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.

Moneypenny + CrewAI FAQ

Common questions about integrating Moneypenny 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.