# Texter MCP for AI Agents AI Agent Connect > Texter lets you connect your AI agent to your unified messaging inbox. It handles customer conversations across WhatsApp, Instagram, and other channels in one place. You can send automated drip campaigns, manage lead follow-ups, and organize chats with labels and departments. It turns your AI into a real-time support and sales rep that never misses a message. ## Overview - **Category:** communication-messaging - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_Ap5Bb8qxsSkz6Pxc9hRueEHTYrUntuHl5mcoR3DA/ai-agent-connect - **Tags:** sms-marketing, omnichannel, customer-engagement, drip-campaigns, whatsapp-api, messaging-automation ## Description Dealing with customer messages across five different apps is a nightmare. You're constantly switching tabs, losing context, and hoping you didn't miss a lead from Instagram while you were busy on WhatsApp. Texter changes that by giving your AI agent a direct line into your unified inbox. Instead of jumping between platforms, your agent stays in one place and handles the heavy lifting. You can have it pull up chat histories, apply labels to organize your pipeline, and send out those repetitive template messages that take up so much of your day. It makes the whole process feel like one continuous conversation rather than a chore of copy-pasting. You'll find it's a lot easier to keep your team on the same page when the AI can see the same departments and channels you do. Getting this set up through the Vinkius catalog means you can get your messaging flow running in minutes without digging through complex documentation. It's about making sure your customers get a fast response no matter where they reach out from. ## Tools ### list_texter_chats Get a list of all your currently active conversations. This helps you see where the AI needs to jump in. ### list_texter_departments See how your workspace is split into different teams. Use this to understand which department owns which chat. ### list_texter_labels Pull a list of all your existing chat labels. It helps the AI know how to categorize new conversations. ### list_texter_messages Look at the message history for a specific chat. This gives the AI the context it needs to provide a helpful answer. ### resolve_texter_chat Close out a conversation once the issue is fixed. This keeps your active chat list clean and organized. ### send_texter_message Send a direct message to a conversation that's already open. It's the main way your agent talks to customers. ### send_texter_template Send a pre-approved template for platforms like WhatsApp. This is perfect for standard notifications like order confirmations. ### add_label_to_texter_chat Tag a specific conversation with a label. Use this to sort leads by status or priority. ### get_texter_chat_details Pull the specific metadata and details for a single chat. It helps the AI understand the specific context of a conversation. ### list_texter_channels See every connected channel like Instagram or WhatsApp. Use this to check which platforms are currently live. ## Prompt Examples **Prompt:** ``` Check my active chats on WhatsApp and tell me if anyone is waiting for a reply. ``` **Response:** ``` I've checked your active WhatsApp conversations. Here is the current status: | Chat Topic | Last Message | Status | | :--- | :--- | :--- | | **Pricing Inquiry** | "Can I get a bulk discount?" | Waiting for reply | | **Order #4421** | "Where is my package?" | Waiting for reply | Would you like me to draft a response for the pricing inquiry? ``` **Prompt:** ``` Send the welcome template to the new lead at 5511999999999. ``` **Response:** ``` Done! I've sent the 'Welcome' template to 5511999999999. **Details:** - **Platform:** WhatsApp - **Message ID:** MSG-99281 - **Status:** Sent successfully ``` **Prompt:** ``` Find the chat with the pricing question and mark it as resolved. ``` **Response:** ``` I've located the 'Pricing Inquiry' chat and updated it for you. - **Action:** Chat marked as Resolved - **Label Added:** Support-Fixed - **Status:** Closed ``` ## Capabilities ### Pull up active chat histories The agent can see all ongoing conversations across your platforms to provide context. ### Send direct messages to active chats Your agent can reply to customers in real-time within existing conversations. ### Dispatch pre-approved templates Send standard notifications like order confirmations via WhatsApp or Messenger. ### Organize chats with custom labels Automatically tag conversations to sort leads by status or priority. ### View all connected messaging channels See every live platform like Instagram and WhatsApp in one overview. ### Close out resolved inquiries Mark conversations as finished to keep your active inbox clean. ### See all workspace departments Identify which team owns specific chats across your entire organization. ## Use Cases ### Handling a support inquiry on Instagram A customer asks a question on Instagram. The agent uses list_texter_messages to see the history and then send_texter_message to give a helpful answer. ### Sending automated welcome messages A new lead signs up. The agent uses send_texter_template to send a Welcome message on WhatsApp immediately. ### Monitoring high-volume chat queues A manager wants to see how many chats are open. The agent runs list_texter_chats to provide a quick summary of current volume. ### Organizing finished sales leads A campaign ends. The agent uses resolve_texter_chat and add_label_to_texter_chat to move all those leads into a Completed category. ## Benefits - Stop jumping between tabs by using list_texter_chats to see everything in one place. - Speed up repetitive tasks by sending automated notifications with send_texter_template. - Keep your inbox organized by using add_label_to_texter_chat to sort leads automatically. - Provide better context for your AI by pulling history with list_texter_messages. - Clear out your workspace by using resolve_texter_chat to close finished tickets. - Manage your team better by seeing all your list_texter_departments and labels at a glance. ## How It Works The bottom line is you get a unified way to manage multi-channel customer messages through a single AI interface. 1. Subscribe to the Texter MCP on Vinkius 2. Enter your Texter API Token and Project ID from your workspace settings 3. Tell your AI agent to start managing your messages ## Frequently Asked Questions **Can the Texter MCP help me manage WhatsApp messages?** Yes, it connects your AI agent directly to your WhatsApp messages so you can read, reply, and manage conversations from one interface. **How do I use Texter with my AI agent for customer support?** Once connected, your AI agent can use Texter to pull up chat histories, see active conversations, and send replies to customers automatically. **Can I send automated SMS drip campaigns using Texter?** Absolutely. You can have your AI agent trigger pre-approved templates to send automated follow-ups and notifications to your leads. **Does Texter support Instagram and other social channels?** Yes, it supports omnichannel messaging, meaning your agent can handle conversations from Instagram, WhatsApp, and other connected channels. **How does Texter help my team organize customer chats?** It allows your AI to apply labels to conversations and organize them into different departments, making it much easier to track your sales pipeline. **Can I use Texter to send order confirmations automatically?** Yes, you can use the template tool to send standard messages like order confirmations across WhatsApp and other platforms instantly. **Is it possible to see all my messaging channels in one place with Texter?** Yes, the Connector lets your agent list and monitor all your connected channels so you don't have to switch between different apps to see your volume. **Can I see the history of a specific chat via AI?** Yes! Use the `list_texter_messages` tool and provide the Chat ID. Your agent will retrieve the complete message log for that conversation. **How do I send a WhatsApp template with parameters?** Use the `send_texter_template` action. Provide the destination number, Template ID, language, and a JSON array for the dynamic components to personalize the message. **Is it possible to assign a label to a conversation via AI?** Absolutely. Use the `add_label_to_texter_chat` tool. Provide the Chat ID and the Label ID to organize your inbox programmatically.