--- title: "Connect Trengo to GPT Chatbot - APIANT.ai" description: "When \"New Internal Note\" fires in Trengo, your agent runs \"Send Message\" in GPT Chatbot." canonical: "https://apiant.ai/connect/trengo-to-gpt-chatbot" --- # Connect Trengo to GPT Chatbot When **New Internal Note** fires in [Trengo](https://apiant.ai/connections/trengo), your agent runs **Send Message** in [GPT Chatbot](https://apiant.ai/connections/gpt-chatbot). Describe the whole flow and it is built, tested on every scenario and kept running. Trengo **3** triggers Trengo **15** actions GPT Chatbot **18** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want Trengo and GPT Chatbot to do together? Give your AI client this address. `https://mcp.apiant.ai` One connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser. ### Set it up in your client ### Claude Code Run this in the directory you want to work in. `claude mcp add --transport http -s project apiant-ai https://mcp.apiant.ai` Start Claude Code there, approve the server, and sign in in the browser page it opens. [Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code) ### Claude, web and desktop Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### Cursor Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### Zed Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### Codex and the ChatGPT desktop app Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### Any other MCP client Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) Example flows ## What Trengo can start in GPT Chatbot - When **New Internal Note** in Trengo then **Send Message** in GPT Chatbot - When **New Outbound Message** in Trengo then **Add file source** in GPT Chatbot Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships. Everything your agent can do with Trengo and GPT Chatbot ## Triggers and actions 3 triggers · 33 actions - Trigger **New Internal Note** Fires when an internal note is added to a Trengo ticket. - Trigger **New Outbound Message** Triggers when an outbound message is created. - Trigger **Ticket Label Added** Triggers when a label is added to a conversation. - Action **Add internal note to ticket** Adds an internal note (visible only to agents) to a Trengo ticket. - Action **Add ticket** Create a new support ticket. - Action **Add ticket label** Attaches an existing label to a Trengo ticket. - Action **Create a Contact** Creates a contact on a Trengo channel. If a contact with the same identifier already exists on that channel, Trengo returns the existing contact instead of creating a duplicate. - Action **Create webhook** Subscribes a URL to one Trengo webhook event type. Used by Trengo instant triggers to register their delivery URL on activation. - Action **Delete contact** Delete a contact by id. - Action **Delete ticket** Delete a ticket by id. - Action **Find a Contact** Returns the Trengo contacts that match the search term. - Action **Get contact** Retrieve a single Trengo contact by its id. - Action **Get webhook** Fetches a webhook by ID, including the event it listens for, the address it sends to and its signing secret. An error occurs if the webhook is not found. - Action **List contacts** List all contacts. - Action **List labels** Lists the ticket labels defined in the Trengo account (first page). - Action **List tickets** Returns all tickets the connected user is authorized to see, optionally filtered by status, contact, users, channels, labels, last message type or update time. - Action **Send a Message** Sends a reply message on an existing Trengo ticket, over the ticket's own channel. - Action **Update contact** Update an existing contact by id. - Action **Add chatbot** Create a chatbot for the authenticated user. - Action **Add file source** Upload a file as a data source for a chatbot specified by chatbot uuid. - Action **Add session** Create a chat session for a chatbot specified by chatbot uuid. - Action **Add URL source** Create a URL data source for a chatbot specified by chatbot uuid. - Action **Delete agent** Delete a single agent by uuid. - Action **Delete message** Delete a single message by uuid. - Action **Delete session** Delete a session by its uuid. - Action **Delete source** Delete a single data source by uuid. - Action **Get chatbot** Fetch a single chatbot by uuid. - Action **Get session** Fetch a single chatbot session by uuid. - Action **List agents** Fetch the list of agents for a chatbot specified by chatbot uuid. - Action **List chatbots** Fetch the list of chatbots for the current user. - Action **List messages** Fetch the list of messages for a session specified by session uuid. - Action **List sessions** Fetch the list of sessions for a chatbot specified by chatbot uuid. - Action **List sources** Fetch the list of data sources for a chatbot specified by chatbot uuid. - Action **Send Message** Send a message to a chatbot and receive an answer. - Action **Update agent** Update agent metadata based on uuid. - Action **Update chatbot** Update chatbot metadata by uuid. ## Each app on its own - [ **Trengo** Trengo is a team collaboration tool to manage conversations from channels such as web chat, email and...](https://apiant.ai/connections/trengo) - [ **GPT Chatbot** GPT Chatbot allows you to create your custom AI chatbots and embed it in your website or preferred social...](https://apiant.ai/connections/gpt-chatbot) Reviews ## What our customers say ## More from Trengo - [ **Trengo to Zoom** Zoom unifies cloud video conferencing, simple online meetings, group messaging, and a software-based...](https://apiant.ai/connect/trengo-to-zoom) - [ **Trengo to Twilio** Cloud communications platform for sending SMS/MMS messages, making and managing voice calls, and looking up...](https://apiant.ai/connect/trengo-to-twilio) - [ **Trengo to Typeform** Build and publish online forms, surveys, and quizzes with Typeform.](https://apiant.ai/connect/trengo-to-typeform) - [ **Trengo to Webflow** Webflow is a professional website builder and CMS for designing, building, and launching responsive...](https://apiant.ai/connect/trengo-to-webflow) - [ **Trengo to Wix** The Wix website builder gives businesses of any size the tools to create, manage and grow a fully integrated...](https://apiant.ai/connect/trengo-to-wix) - [ **Trengo to LinkedIn** LinkedIn is a professional networking platform enabling job seekers, companies, and thought leaders to...](https://apiant.ai/connect/trengo-to-linkedin) ## More into GPT Chatbot - [ **Buildin.AI to GPT Chatbot** Buildin.AI is a workspace for docs, notes, tasks, wikis, databases & more.](https://apiant.ai/connect/buildin-ai-to-gpt-chatbot) - [ **HubSpot to GPT Chatbot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-gpt-chatbot) - [ **Salesforce to GPT Chatbot** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-gpt-chatbot) - [ **Slack to GPT Chatbot** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-gpt-chatbot) - [ **Google Sheets to GPT Chatbot** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-gpt-chatbot) - [ **Gmail to GPT Chatbot** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-gpt-chatbot) Questions ## Trengo and GPT Chatbot, answered ### ### What can start an automation from Trengo? Any of Trengo's 3 triggers in the catalog, including New Internal Note, New Outbound Message and Ticket Label Added. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in GPT Chatbot when something happens in Trengo? Any of GPT Chatbot's 18 actions, including Send Message, Update agent, Update chatbot and Add chatbot. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from GPT Chatbot to Trengo? GPT Chatbot has no triggers in the catalog today, so automations start in Trengo. If you need the other direction, ask: your agent reads GPT Chatbot's API documentation and adds it. ### ### Do I have to build a connector for Trengo or GPT Chatbot? No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running. ### ### Can my AI client use Trengo and GPT Chatbot without building an automation? Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both. ### ### What happens when something fails? Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships. ### ### Is there a free plan? Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.