Trengo Connector for AI agents.
12 live capabilities
Manage customer support tickets and omnichannel messages from a single chat.
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Why people use Trengo
Trengo for Unified Omnichannel Support
This Connector changes the workflow by letting your agent handle the navigation. You can ask it to pull up a specific ticket, see the last few messages, and send a response without ever leaving your chat window. You get a clearer way to manage your entire inbox through a single conversation.
What Vinkius changes
You get a unified way to manage every customer touchpoint through a single chat interface.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Handling a surge in WhatsApp messages
A rep asks the agent to list all open tickets and reply to the three most recent queries from customers.
- Real-world use case 02
Onboarding a new support agent
A manager uses list_team_members to see who is free and then assigns new tickets to them via the agent.
- Real-world use case 03
Automating order updates
An ops lead creates a webhook to notify the warehouse whenever a shipping message is received in the inbox.
Complete set · 12capabilities
The complete Trengo capability set.
These are the exact actions your AI can choose when you ask it to work with Trengo.
01—04
4 capabilities in this set.
Part of 12 available through Trengo.
- 01 Capability
Get ticket
Fetches specific details for a single support ticket so you can see the full history.
- 02 Capability
List channels
Shows all your active communication channels like WhatsApp and chat in one list.
- 03 Capability
List contacts
Lists your entire customer database to help you find customer info quickly.
- 04 Capability
List messages
Shows the message history for a specific ticket to give you context on a conversation.
05—08
4 capabilities in this set.
Part of 12 available through Trengo.
- 05 Capability
List tickets
Retrieves a list of all support tickets to see what needs attention across your inbox.
- 06 Capability
List team members
Shows your team members and their current status to see who is available to help.
- 07 Capability
List webhooks
Shows all the webhooks you have currently configured for tracking events.
- 08 Capability
Send message
Sends a new message to a customer or adds an internal note to a conversation.
09—12
4 capabilities in this set.
Part of 12 available through Trengo.
- 09 Capability
Update ticket
Changes the status or details of an existing ticket to move it through your pipeline.
- 10 Capability
Get account profile
Pulls your current user profile details from the Trengo account to identify the active user.
- 11 Capability
Create ticket
Creates a new support ticket from scratch to start a new conversation or log an issue.
- 12 Capability
Create webhook
Sets up a new webhook to track specific conversation events and trigger automations.
Set up in minutes
One URL. Then ask Trengo to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Trengo from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Trengo, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Trengo for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Trengo URL.
- Step 03
Save and start
Save the connection and enable Trengo in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"trengo": {
"url": "https://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Trengo
Open Agent mode in chat and ask: "Using Trengo, help me...". 12 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"trengo": {
"url": "https://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Trengo
Ask Copilot: "Using Trengo, help me...". 12 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"trengo": {
"url": "https://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Trengo
Open Cascade and ask: "Using Trengo, help me...". 12 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"trengo": {
"url": "https://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Trengo
Ask Cline: "Using Trengo, help me...". 12 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add trengo --transport http "https://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Trengo
Ask Claude: "Using Trengo, show me...". 12 tools are ready
Where the request belongs
Work Trengo can move forward.
Support managers who are tired of toggling between five different tabs just to answer one customer question. It's for the team lead who needs to see the big picture of ticket volume without manual reporting.
Support Manager
Monitors ticket volume and team workload by querying the inbox with natural language.
Customer Success Rep
Handles high-volume inquiries across WhatsApp and email without leaving the workspace.
Ops Lead
Sets up webhooks and monitors channel health to ensure the support pipeline stays clear.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Gallabox
Automate WhatsApp Business communication, send templates, and manage chats via AI agents with Gallabox.
360dialog
Send WhatsApp messages at scale, manage templates, and track delivery with the official 360dialog Business API integration.
SleekFlow
Manage omnichannel customer conversations. read messages, check contacts, and send replies across WhatsApp, Instagram, and more directly from your AI agent.
MeiQia
Leading live chat and customer CRM platform. manage conversations, messages, and customers via AI.
Bring your own AI
Change the model, client or framework. Keep Trengo connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Trengo.
The practical details behind the request, access and result.
Can Trengo MCP help me manage WhatsApp messages?
Yes, it connects your WhatsApp channel to your AI agent so you can send and receive messages without switching apps.
Does Trengo MCP work for email and social media too?
It covers all your omnichannel channels, including email, live chat, and various social platforms in one unified inbox.
Can my team use this Connector to see who is busy?
Yes, you can ask the agent to list your team members to check their current status and workload before assigning new tasks.
How does Trengo MCP handle ticket statuses?
You can use your agent to create new tickets, update them to statuses like OPEN or CLOSED, and manage assignments automatically.
Can I use Trengo MCP to set up automated notifications?
You can create webhooks to track conversation events in real-time, allowing you to trigger actions in other systems.
Is Trengo MCP good for high-volume support?
It's built for teams that need to manage many conversations at once by providing a way to quickly search, list, and respond to messages.
Can I see all the messages in a specific ticket via AI?
Yes! Use the list_messages capability and provide the Ticket ID. Your agent will retrieve the full conversation history, including both customer messages and internal notes.
How do I add an internal note to a ticket that the customer won't see?
Use the send_message action. Provide the Ticket ID and your text, and set the internal parameter to 'true'. This will log the message as a private note for your team.
Is it possible to list all communication channels like WhatsApp and Email?
Absolutely. Use the list_channels query. The agent will retrieve all your active integrations, helping you identify which Channel ID to use when creating new tickets.
One connection away
Give your agent a direct line to Trengo.
Connect Trengo once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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