Landbot MCP Server for Mastra AIGive Mastra AI instant access to 12 tools to Get Account Info, Get Customer Details, Handoff To Agent, and more
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.
Ask AI about this App Connector for Mastra AI
The Landbot app connector for Mastra AI is a standout in the Customer Support category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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-alternative": {
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 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Landbot?"
);
console.log(result.text);
}
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 Landbot MCP Server
Connect your Landbot account to any AI agent and manage chatbots through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Landbot tool infrastructure. Connect 12 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 — List bots, inspect configurations, and track performance
- Conversation Tracking — Browse conversations, read messages, and send replies
- Customer Database — List customers with engagement data and conversation history
- Flow Monitoring — Track chatbot flows and their conversion metrics
- Channel Management — Monitor WhatsApp, Web, and API channels
- Analytics — Access conversation metrics, response rates, and bot performance
The Landbot MCP Server exposes 12 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.
All 12 Landbot tools available for Mastra AI
When Mastra AI connects to Landbot through Vinkius, your AI agent gets direct access to every tool listed below — spanning chatbot, conversational-marketing, lead-capture, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Check API status
Get user profile
Assign to human
List available bots
List chatbot users
Get event configs
List support agents
Send chat image
Send chat message
Send WA template
Start bot flow
Set user property
Connect Landbot to Mastra AI via MCP
Follow these steps to wire Landbot into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Landbot MCP Server
Mastra AI provides unique advantages when paired with Landbot through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Landbot without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Landbot tool response with IDE autocomplete and compile-time checks
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.
Automated workflows: build multi-step agents that query Landbot, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Landbot as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Landbot on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Landbot tools alongside other MCP servers
Example Prompts for Landbot in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Landbot immediately.
"Show all bots with conversation counts and the latest customer conversations."
"Show the conversation flow and analytics for the Lead Qualifier bot."
"List all customers and send a reply to Ana's conversation."
Troubleshooting Landbot MCP Server with Mastra AI
Common issues when connecting Landbot to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpLandbot + Mastra AI FAQ
Common questions about integrating Landbot MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.