Moneypenny MCP. See every call and chat message from one place.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Moneypenny MCP Server connects your AI agent directly to your virtual receptionist and live chat data. You can pull call messages, view chat transcripts, and get activity summaries across different timeframes—today, this week, or this month—without logging into the Moneypenny portal.
What your AI agents can do
Check moneypenny status
Verifies if the Moneypenny API connection is currently working.
Get activity summary
Gathers and reports a summary of all calls and chats that happened today.
Get recent chats
Returns the most recent live chat conversations for review.
Runs the get_activity_summary tool to pull total counts of calls and chats from today into one report.
Uses list_call_messages to retrieve telephone answering machine records within a custom date range (MM/DD/YYYY).
Runs list_chat_logs to pull live chat conversations, optionally filtering the start and end times using ISO 8601 format.
Calls get_today_chats to get every conversation that happened in the last 24 hours.
Uses get_this_month_calls to pull all call messages recorded since the start of the current calendar month.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
Moneypenny MCP Server: 10 Tools for Call & Chat Data
These tools let your AI agent retrieve specific communication data—from chat logs to answering machine messages—across precise time windows.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Moneypenny on Vinkius019dd128check moneypenny status
Verifies if the Moneypenny API connection is currently working.
019dd128get activity summary
Gathers and reports a summary of all calls and chats that happened today.
019dd128get recent chats
Returns the most recent live chat conversations for review.
019dd128get this month calls
Pulls all telephone answering messages recorded since the beginning of the current month.
019dd128get this week calls
Gathers all call messages that were logged within the past seven days.
019dd128get this week chats
Retrieves all live chat conversations that occurred within the last week.
019dd128get today calls
Gets all call messages recorded on the current day.
019dd128get today chats
Retrieves all live chat conversations that happened today.
019dd128list call messages
Lists answering machine messages by allowing you to specify a start and end date range (MM/DD/YYYY).
019dd128list chat logs
Lists live chat conversation logs, letting you optionally filter results using specific start and end times.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Moneypenny, then connect any of our 4,800+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,800+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
The pain of jumping between communication portals is real.
Today, if you need to know how many calls and chats came in over the last 30 days, you usually have to log into the Moneypenny website. You click on the 'Calls' tab, filter by date, export a CSV. Then you switch tabs to 'Live Chat,' set those exact same dates again, and export that file too. It’s tedious, it takes ten minutes, and it's easy to miss data points.
With this MCP server, your agent handles the clicks. You just ask for the full scope—for example, by running `list_call_messages` combined with a chat log query. The system pulls all that historical data and presents it cleanly in one conversational response.
Using Moneypenny MCP Server: Call & Chat Data
Before, getting reports for the full month meant manually running separate queries or using a limited dashboard view. You couldn't easily pull records from specific date ranges without clicking through multiple filters and views.
Now, you simply tell your agent what time window you need. Whether it’s `get_this_week_calls` or a custom query via `list_chat_logs`, the data comes back structured and ready to read. It's that simple.
What you can do with this MCP connector
You're hooking up Moneypenny to your AI agent so you can pull all your business communications—calls and chats—right where you work. You don't have to log into that Moneypenny portal; your agent just grabs the data for you using natural language prompts.
Quick Daily Reports
Need a snapshot of what went down today? Your agent runs get_activity_summary and spits out one report showing the total counts for calls and chats from the current day. If you only care about the phone messages, get_today_calls pulls every call message recorded on this specific day. For live chat chatter, get_today_chats grabs every single conversation that happened in the last 24 hours.
You can also check for the most recent interactions by running get_recent_chats, which returns a list of your latest chat conversations.
Tracking Over Time
You've got options to look back further than today. If you need to know what happened this week, get_this_week_calls pulls all call messages logged within the past seven days, and for chats, get_this_week_chats gets every live chat conversation from the last seven days.
For a bigger view, you can check everything since the start of the calendar month. get_this_month_calls gathers all answering machine messages recorded since the first day of the current month. You've got total control over timeframes using specific tools too. To look at call messages from any random period, you use list_call_messages, letting you specify a start and end date range using MM/DD/YYYY format.
When you need to dive deep into chat logs, list_chat_logs pulls those conversations, giving you the option to filter by specific start and end times using ISO 8601 formatting.
Keeping Things Running Smoothly
Before your agent uses any of this data, it's smart to check if the connection is solid. The check_moneypenny_status tool verifies if the Moneypenny API link you set up is actually working right now. This ensures that when you ask for a report, your agent isn't hitting dead ends.
Basically, your AI client connects and uses these functions—like pulling data from list_chat_logs or getting a summary with get_activity_summary—so you get all the details without ever touching the Moneypenny website. It keeps everything centralized where you need it.
019dd128-548c-721c-8540-21fc627f19c1 
How Moneypenny MCP Works
- 1 First, subscribe to the Moneypenny MCP Server and enter your account credentials.
- 2 Your AI client then uses a specific tool—for example,
get_this_week_calls—to pull the required data based on your prompt. - 3 The agent presents you with the raw call messages or chat transcripts directly in your conversation window.
The bottom line is that your AI client uses these tools to read and display communication history from Moneypenny, so you don't have to log into a separate portal.
Who Is Moneypenny MCP For?
This is for the Operations Manager who has too many dashboards. You need to check call summaries and chat activity without logging in or manually copying data. It’s also perfect for Customer Service Leads tracking interaction trends across different time periods.
Monitors the total communication volume using get_activity_summary and tracks performance metrics by running reports on call logs.
Tracks response patterns across weeks or months, comparing data from chat transcripts (list_chat_logs) versus recorded calls (list_call_messages).
Gets a quick pulse check on the business by asking for 'today's activity,' relying on get_activity_summary.
What Changes When You Connect
- Get an instant overview using
get_activity_summary. Instead of checking three different dashboards, you ask your agent for 'today's activity,' and it pulls the total count of calls and chats immediately. - Track specific time periods with confidence. Need to audit a quarter? Use
list_call_messagesorlist_chat_logswith custom date ranges instead of manually exporting logs from the portal. - Monitor weekly trends easily. Running
get_this_week_callsandget_this_week_chatslets you compare call volume to chat activity for quick performance checks. - Avoid logging in entirely. Your agent handles the API connection, letting you review everything—from
get_today_callstoget_recent_chats—without needing credentials or a browser session. - Forensics made simple. If a client complained about an interaction last month, use
get_this_month_callsto retrieve all records for that entire period in one go.
Real-World Use Cases
The Morning Report Check
A business owner opens the agent and simply asks: 'What's my activity summary.' The agent runs get_activity_summary, telling them exactly how many calls and chats were handled today. They get their daily status instantly, without having to open the Moneypenny portal.
Investigating a Complaint
A customer complains about an issue from three weeks ago. The agent runs list_call_messages, asking for logs between the specific date range. The manager reviews the exact conversation record without needing to dig through old emails or chat threads.
Weekly Performance Review
An office manager needs to compare call trends vs. chat trends for last week. She prompts for get_this_week_calls and then get_this_week_chats. The agent gives her two separate, structured reports side-by-side, making the comparison simple.
Catching Up on Missed Chats
The team lead is out for a day and needs to see what was missed. They ask for 'all chats from today.' The agent uses get_today_chats and provides the full transcript list, letting them jump right into the conversation flow.
The Tradeoffs
Jumping between dashboards
Trying to get today's call summary by checking the main dashboard, then having to switch tabs to check chat activity logs in a different section. It takes five clicks and half your attention span.
→
Just tell your AI client: 'Give me a combined overview of today's calls and chats.' The agent runs get_activity_summary and gives you the data immediately.
Over-relying on general search
Searching for ‘last month’s communications’ in a generic log, which only returns chat logs but misses the phone call messages.
→
Be specific: 'Show me all calls from last month.' The agent will use get_this_month_calls to make sure it pulls every record type you need.
Asking for vague date ranges
Asking the agent, 'Give me logs from sometime last week.' This forces the agent to guess a date range or fail entirely.
→
Specify the window: 'List all chats between 10/01/2024 and 10/7/2024.' You can use list_chat_logs with precise start/end times.
When It Fits, When It Doesn't
Use this server if your main job is auditing, reporting, or summarizing communication history. If you need to know what happened last week, today, or for a specific month, these tools nail it—especially list_call_messages and list_chat_logs when you need precise date filtering.
Don't use this if your goal is real-time agent action (like automatically sending an email). This server is purely for data retrieval. If you just want a high-level count, run get_activity_summary. But if you suspect the API connection broke, run check_moneypenny_status first; that's always step zero.
Common Questions About Moneypenny MCP
How do I check today's calls using get_today_calls? +
You prompt your agent with 'What were my call messages today?' The agent runs get_today_calls and gives you a list of all recorded messages from the current day.
Can I compare chats this month to calls this week using get_this_month_calls and get_this_week_chats? +
Yes. You can run both tools in sequence. First, ask for get_this_month_calls, then ask for get_this_week_chats. The agent will report on both data sets so you can compare activity easily.
What if I need a custom date range that isn't today or this week? Should I use list_call_messages? +
Yep. Use list_call_messages. This tool lets you specify any start and end date using the MM/DD/YYYY format, giving you total control over your search window.
Does get_activity_summary include everything? +
It gives a combined view of calls and chats for today. It’s designed to be your quick daily summary tool, pulling the totals from both types of communication.
How do I verify that my AI client can connect to Moneypenny before running commands like `list_call_messages`? +
You run the check_moneypenny_status tool. This confirms API connectivity, letting you know if your agent can talk to the Moneypenny server at all. It's a good first step before querying data.
What is the difference between using `get_today_chats` and `get_recent_chats`? +
get_recent_chats retrieves all new chat conversations, regardless of how old they are. It’s useful for catching up on overall activity. In contrast, get_today_chats only returns logs generated within the current calendar day.
If I need to filter chat logs using specific start and end dates, what format does `list_chat_logs` require? +
You must pass both the start and end times in ISO 8601 format. This is a strict standard that gives you precise control over your search window. Double-check that your timestamps are formatted correctly for accurate data retrieval.
What should I do if my AI agent hits a rate limit while calling `get_this_week_calls`? +
If you encounter a rate limit, the best thing to do is wait and try again later. The API handles temporary overloads by throttling requests. Don’t rapidly spam the endpoint; give it time to reset.
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.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.