Froged MCP. Get a 360-degree view of customer data instantly.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Froged MCP Server handles your customer support operations, letting your AI agent manage contacts, track user behavior, and handle chats.
It exposes tools to list contacts, update user profiles, track custom events, and send support replies directly through natural conversation.
This gives your AI client a full 360-degree view of every customer interaction.
What your AI agents can do
Get chat details
Retrieves the complete conversation history for a specific support chat.
Get contact details
Fetches all metadata associated with a single customer contact.
List behavioral events
Lists the most recent behavioral events tracked for users.
Retrieves detailed metadata for a specific customer contact.
Lists all customer profiles managed within Froged.
Logs custom user behavior events, triggering follow-up actions in marketing or success campaigns.
Lists active support conversations and sends replies to keep chats moving.
Creates or updates a customer contact record to ensure data accuracy.
Pulls relevant help articles from your Knowledge Base for self-service responses.
Retrieves lists of active marketing and in-app campaigns for review.
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Froged MCP Server: 11 Tools for Customer Support
Use these 11 tools to manage everything from contact records and behavioral events to live support chats directly through your AI client.
019d75a1get chat details
Retrieves the complete conversation history for a specific support chat.
019d75a1get contact details
Fetches all metadata associated with a single customer contact.
019d75a1list behavioral events
Lists the most recent behavioral events tracked for users.
019d75a1list cs contacts
Lists all contacts within the Froged system.
019d75a1list kb articles
Retrieves a list of published knowledge base help articles.
019d75a1list marketing campaigns
Lists all active marketing and in-app campaigns.
019d75a1list support conversations
Lists the most recent active support chat conversations.
019d75a1send chat message
Sends a reply message to an active support chat conversation.
019d75a1track custom event
Logs a specific user action, like an upgrade or viewing a pricing page.
019d75a1upsert contact
Creates a new contact or updates the metadata of an existing one.
019d75a1verify api status
Checks if the API connection to Froged is currently active and working.
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 Froged, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ 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
What you can do with this MCP connector
Froged MCP Server - Customer Support & Event Tracking
Your AI agent gets a full 360-degree view of every customer interaction, letting it manage contacts, track user behavior, and handle support chats straight through natural conversation.
Managing Contacts and Profiles
You can use list_cs_contacts to pull a list of every contact in the Froged system. To get the full picture on a specific person, call get_contact_details, which fetches all the metadata for that customer. You can keep your data clean and accurate by calling upsert_contact to either create a new contact or update an existing one's record.
Handling Support Conversations
It lets your agent list all recent chats using list_support_conversations. When a chat is active, you can send a reply using send_chat_message to keep the conversation moving. If you need to see what was said before, get_chat_details pulls the complete conversation history for any given support chat.
Tracking User Activity and Campaigns
Your agent tracks custom user actions—like when someone upgrades their plan or views a pricing page—by calling track_custom_event. You can also see the most recent actions users took by listing behavioral events with list_behavioral_events. For marketing context, you can pull a list of all active marketing and in-app campaigns using list_marketing_campaigns.
You'll also get access to the Knowledge Base, pulling relevant help articles via list_kb_articles so your agent can offer self-service answers.
System Health and Overview
Before your agent gets to work, you can check the connection status with verify_api_status to make sure the API link to Froged is active. This server exposes tools to list all contacts, get detailed contact metadata, list support chats, send messages, log custom events, and pull help articles.
How Froged MCP Works
- 1 First, your AI client calls the appropriate tool, like
get_contact_details, providing the customer's email or ID. - 2 The Froged server processes the request, pulling the specific contact metadata or event history from your account.
- 3 Your AI client receives the structured data and uses it to generate a natural language response, completing the task.
The bottom line is, your AI agent gets the data it needs from Froged and presents it back to you in plain English, without you having to open the web dashboard.
Who Is Froged MCP For?
This is for Customer Success Managers and Support Agents who need a 360-degree view of a user without leaving their primary workflow. It solves the pain of context switching, allowing agents to check profiles, review recent events, and send replies instantly from their AI client.
Uses the agent to list active support chats and send replies immediately when a customer asks a question.
Checks a user's profile using get_contact_details to see their history and recent activity before calling them.
Runs the agent to log custom behavioral events, ensuring the correct in-app campaigns trigger after a user performs an action.
What Changes When You Connect
- See a customer's full history, from support chats to logins. Use
get_contact_detailsto pull all metadata, giving your agent the complete picture instantly. - Automate follow-up campaigns. When a user upgrades, run
track_custom_eventto log the action, which immediately triggers the right in-app marketing flow. - Handle support chats without switching tabs.
list_support_conversationslets the agent see all active chats, andsend_chat_messagesends the reply directly from the chat window. - Reduce research time. Instead of digging through dashboards, use
list_kb_articlesto pull relevant help content so the agent can answer questions right away. - Keep data clean and accurate. Use
upsert_contactto make sure contact records are always up-to-date, maintaining a reliable source of truth. - Monitor engagement at scale. Run
list_marketing_campaignsto see which campaigns are active, helping the agent understand the customer's current journey.
Real-World Use Cases
Diagnosing a Pricing Issue
A customer calls in about a price increase. The agent asks the AI to check the profile. The agent runs get_contact_details to find the customer's sign-up date and last interaction. This context helps the agent explain the price change accurately and de-escalates the call.
Handling a Bug Report
A user reports a bug via chat. The agent first runs list_support_conversations to get the chat ID. Then, the agent uses get_chat_details to pull the full transcript. Finally, the agent uses send_chat_message to reply with the ticket number and next steps.
Onboarding a New User
A new user signs up. The marketing team asks the AI to run track_custom_event for 'sign_up_complete'. This logs the event, and the system automatically triggers the next 7-day onboarding email sequence.
Updating User Data Mid-Call
During a support call, the agent learns the customer changed their primary email. The agent runs upsert_contact with the new email address, ensuring the customer record is immediately accurate for future interactions.
The Tradeoffs
Guessing customer context
The agent manually remembers the customer's last issue, or has to copy/paste IDs between five different tabs and tools.
→
Use the agent to run get_contact_details first. This pulls the full metadata and history in one go, giving you the complete context before you even talk to the user.
Forgetting to log an event
The agent fixes a billing issue but forgets to log the interaction, meaning the system won't trigger the 'thank you' campaign or update the user's profile.
→
Immediately run track_custom_event with the relevant event name (e.g., 'billing_resolved'). This guarantees the system logs the action and triggers the right automated follow-up.
Sending unverified answers
The agent answers a complex question based on general knowledge, but the answer is wrong or outdated.
→
Before answering, run list_kb_articles and pass the results to the agent. The agent then synthesizes the correct, verified answer from your internal knowledge base.
When It Fits, When It Doesn't
Use this server if you need your AI agent to act like a knowledgeable human agent: checking records, sending messages, or logging data in Froged. You need the agent to perform actions that require customer context. Don't use this if your goal is just to view raw data in a spreadsheet; use a direct data export tool instead. If you only need to list contacts and nothing else, list_cs_contacts is enough, but you'll miss the crucial context from get_contact_details and list_behavioral_events that makes the agent valuable.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Froged. 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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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 11 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Jumping between tabs to build a customer profile is a nightmare.
Today, handling a customer means jumping between the chat window, the contact record tab, the billing history, and the event log. You copy an ID here, paste it there, and spend five minutes just gathering context before you even start talking.
With the Froged MCP Server, your agent runs tools like `get_contact_details` and `list_behavioral_events`. It collects the full picture—contact history, recent actions, and chat transcripts—and presents it to you immediately. You just talk to your agent.
Sending a reply via the send_chat_message tool.
Normally, you'd have to switch to the dedicated chat view, find the correct thread, manually type the response, and hit send. It’s a multi-step, manual process that breaks concentration.
Now, your AI client executes `send_chat_message`. It handles the context switching and the API call in one step. The reply goes out immediately, keeping the conversation moving without you touching the chat interface.
Common Questions About Froged MCP
How do I use the `get_contact_details` tool in the Froged MCP Server? +
You pass the customer's unique ID or email to the agent. The tool returns all metadata, including sign-up date, last interaction details, and associated support records.
What does `track_custom_event` do for customer retention? +
It logs specific user actions (like viewing a pricing page) into your system. This data powers automated marketing or success campaigns, ensuring the right follow-up happens automatically.
Can I use `list_support_conversations` to find an old chat? +
This tool lists the most recent active conversations. If the chat is closed, you need to use get_chat_details with the specific chat ID to pull the full history.
How do I ensure my contact data is accurate using `upsert_contact`? +
You call upsert_contact with the updated data. This tool handles both creating a new record if it doesn't exist or updating an existing one, keeping your records current.
Does the Froged MCP Server handle live chat responses? +
Yes. The send_chat_message tool allows your agent to post replies to active conversations directly, automating the response process.
How do I list all available help articles using the `list_kb_articles` tool? +
It lists all published help articles. You get a list of article titles and unique IDs, which you can then use to pull specific content for self-service support.
What is the best way to keep my customer data updated using `upsert_contact`? +
You provide the contact's unique identifier and the new data fields. This method ensures that if the record exists, it updates it; otherwise, it creates a new one, keeping your data consistent.
If I need to see a contact's activity history, should I use `list_behavioral_events` or `get_contact_details`? +
How do I get an API Key for Froged? +
Log in to your Froged Admin Panel, navigate to Settings > Integrations > API, and you can generate or copy your active API Key.
Can I track custom events to trigger campaigns? +
Yes! Use the 'track_custom_event' tool. Provide the event name and the user's email to log the behavior and trigger any associated workflows.
Is it possible to reply to support chats through the agent? +
Yes, use the 'send_chat_message' tool with the specific Conversation ID to post replies directly to the omnichannel inbox.
How do I sync a new user to Froged? +
Use the 'upsert_contact' tool. Provide the user's email address, and if they don't exist, a new profile will be created. If they do, their metadata will update.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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