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 OpenAI Agents SDKGive OpenAI Agents SDK 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 SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Moneypenny through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Moneypenny app connector for OpenAI Agents SDK 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

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Moneypenny Assistant",
            instructions=(
                "You help users interact with Moneypenny. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Moneypenny"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

The OpenAI Agents SDK auto-discovers all 10 tools from Moneypenny through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Moneypenny, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to wire Moneypenny into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

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

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Moneypenny

Why Use OpenAI Agents SDK with the Moneypenny MCP Server

OpenAI Agents SDK provides unique advantages when paired with Moneypenny through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Moneypenny + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Moneypenny MCP Server delivers measurable value.

Automated workflows: build agents that query Moneypenny, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Moneypenny, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Moneypenny tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Moneypenny to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Moneypenny in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Moneypenny to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Moneypenny + OpenAI Agents SDK FAQ

Common questions about integrating Moneypenny MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.