Chatwoot MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Chatwoot through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Chatwoot, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Chatwoot MCP Server
Connect your Chatwoot account to any AI agent and take full control of your customer support and engagement through natural conversation. Streamline how you manage chats across Web, WhatsApp, Facebook, and more.
The Vercel AI SDK gives every Chatwoot tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Conversation Oversight — List and retrieve details for all active and resolved conversations natively
- Live Replying — Send messages to customers in active chat sessions flawlessly
- Contact Management — List and retrieve detailed customer contact information and history securely
- Inbox Intelligence — Monitor all configured inboxes, including Web widgets and social integrations flawlessly
- Agent Tracking — List all support agents and manage team availability in real-time
- Message History — Access complete chat histories to understand customer context directly within your workspace
The Chatwoot MCP Server exposes 8 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Chatwoot to Vercel AI SDK via MCP
Follow these steps to integrate the Chatwoot MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 tools from Chatwoot and passes them to the LLM
Why Use Vercel AI SDK with the Chatwoot MCP Server
Vercel AI SDK provides unique advantages when paired with Chatwoot through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Chatwoot integration everywhere
Built-in streaming UI primitives let you display Chatwoot tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Chatwoot + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Chatwoot MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Chatwoot in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Chatwoot tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Chatwoot capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Chatwoot through natural language queries
Chatwoot MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Chatwoot to Vercel AI SDK via MCP:
get_chat_history
Retrieve the message history for a specific conversation
get_contact_details
Get detailed information for a specific customer contact
get_conversation_details
Get detailed information for a specific conversation
list_chatwoot_contacts
List all customer contacts
list_chatwoot_inboxes
List all configured inboxes (Web, WhatsApp, etc)
list_support_agents
List all support agents in the account
list_woot_conversations
List all conversations in the account
send_chat_message
Send a message to a customer in a specific conversation
Example Prompts for Chatwoot in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Chatwoot immediately.
"List all active conversations in Chatwoot."
"What did the customer in conversation ID 555 say last?"
"Reply to conversation 555: 'I'll look into this right now for you, Sarah.'"
Troubleshooting Chatwoot MCP Server with Vercel AI SDK
Common issues when connecting Chatwoot to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpChatwoot + Vercel AI SDK FAQ
Common questions about integrating Chatwoot MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Chatwoot with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Chatwoot to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.