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Landbot MCP Server for Mastra AI 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Landbot through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

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

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "landbot": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Landbot Agent",
    instructions:
      "You help users interact with Landbot " +
      "using 8 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Landbot?"
  );
  console.log(result.text);
}

main();
Landbot
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Landbot MCP Server

Engage your conversational pipelines through Landbot instantly using your AI assistant. Route leads, send custom programmatic messages to open channels, or check active interactions without checking external software tools.

Mastra's agent abstraction provides a clean separation between LLM logic and Landbot tool infrastructure. Connect 8 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Bot Management: Oversee and pull active bot matrices.
  • Customer Operations: Send automated text messages securely to connected accounts.
  • Lead Routing: Reassign critical pipeline threads directly to live agents programmatically.

The Landbot MCP Server exposes 8 tools through the Vinkius. Connect it to Mastra AI 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 Landbot to Mastra AI via MCP

Follow these steps to integrate the Landbot MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 8 tools from Landbot via MCP

Why Use Mastra AI with the Landbot MCP Server

Mastra AI provides unique advantages when paired with Landbot through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Landbot without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Landbot tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Landbot + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Landbot MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Landbot, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Landbot as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Landbot on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Landbot tools alongside other MCP servers

Landbot MCP Tools for Mastra AI (8)

These 8 tools become available when you connect Landbot to Mastra AI via MCP:

01

assign_agent

Route conversation from bot to live agent status

02

get_bot

Get a single bot details by ID

03

get_customer

Retrieve specific metadata of one customer

04

get_messages

Fetch the chat sequence messages for a given customer context

05

list_bots

List all accessible bots in Landbot

06

list_customers

List recent customers interacting with bots

07

search_customers

Search for a particular customer by email

08

send_text_message

Send a message programmatically to a customer conversation

Example Prompts for Landbot in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Landbot immediately.

01

"List standard bots running active pipelines right now."

02

"Fetch the entire transcription log for customer ID 98453."

03

"Force assign the highest severity angry customer ticket to Agent Sarah."

Troubleshooting Landbot MCP Server with Mastra AI

Common issues when connecting Landbot to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Landbot + Mastra AI FAQ

Common questions about integrating Landbot MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Landbot to Mastra AI

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.