How to Use the Chatwoot MCP in Mastra AI

Q: How do I add the Chatwoot tools to my Mastra AI agent?

You instantiate the MCPClient with your Vinkius server URL. After that, you call mcpClient.listTools() and spread the result into your agent's tool configuration. Mastra AI automatically handles the transport and execution.

Build bulletproof Chatwoot workflows that handle errors and retries automatically. Automate your customer support logic with Mastra AI.

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Connect Chatwoot MCP to Mastra AI

Create your Vinkius account to connect Chatwoot to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Chatwoot with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate Complex Support Logic

This MCP Server gives your Mastra AI agent the tools to manage Chatwoot from your backend. You can build workflows that check for new conversations with `list_woot_conversations`, get customer details using `get_contact_details`, and then take action based on your own business rules. Mastra's real power is in its conditional logic. For example: IF a conversation is from the 'Website' inbox, THEN get the full chat history with `get_chat_history` and summarize it, ELSE just send a first reply with `send_chat_message`. You define the entire sequence.

Reliable Message Delivery with Retries

APIs fail. It happens. With Mastra AI, you can wrap the `send_chat_message` tool in a retry block that uses exponential backoff. Your agent won't just give up if the Chatwoot API has a temporary glitch or network hiccup. This makes your automations far more resilient. You can design a workflow that attempts to send a message, and on failure, it uses `get_conversation_details` to check the conversation's status before trying again. If it still fails, it can trigger an alert.

Your Chatwoot MCP Server for Workflows

Connecting the Chatwoot tools to your Mastra agent is straightforward. It gives your agent a direct line to your customer support platform, equipped with all the functions needed to read and write data. These tools become the building blocks for your automated processes. A common pattern is listing all unassigned conversations with `list_woot_conversations`, looping through them, and then using `get_contact_details` to decide how to route them. This is how you build real automation, not just a simple bot.

Setup guide

Set up Chatwoot MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Chatwoot tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "chatwoot-mcp-client",
  servers: {
    "chatwoot-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Chatwoot Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Chatwoot tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Chatwoot transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Chatwoot. 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.

Why Choose Vinkius

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Common questions about Chatwoot MCP in Mastra AI

You instantiate the `MCPClient` with your Vinkius server URL. After that, you call `mcpClient.listTools()` and spread the result into your agent's tool configuration. Mastra AI automatically handles the transport and execution.

Yes, that's a core feature of the framework. You can configure automatic retries with backoff for the `send_chat_message` tool. It ensures your automated messages get sent reliably, even if there are temporary network problems.

A classic example is an automated escalation workflow. An agent can monitor conversations, and if a message contains 'urgent' and hasn't been replied to in 5 minutes, it can use the Chatwoot tools to re-assign the ticket and notify a manager.

No. Vinkius handles the connection to the MCP Server. You just provide the single endpoint token when you configure the `MCPClient` in your code, and it's ready to go.

Your agent's requests, including any customer contact info or message text, are passed through a zero-trust proxy. The MCP server runs in an ephemeral V8 Isolate sandbox. No conversation data from Chatwoot is ever logged or stored by Vinkius.

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