How do I authenticate?

Grab the main API Access Integration token located centrally in settings inside Landbot App context.

Can I route chats to human agents?

Yes, standard endpoints enable you to extract active sessions and invoke assignment APIs gracefully.

Do bots answer incoming queries automatically?

No interruption occurs. Read functionalities passively pull context without disconnecting current funnels.

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

Name: Landbot
Availability: InStock
Author: Vinkius

docs.cursor.com/context/model-context-protocol

Built by Vinkius GDPR 8 Tools IDE

Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Landbot and 2,500+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

{
  "mcpServers": {
    "landbot": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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.

Cursor's Agent mode turns Landbot into an in-editor superpower. Ask Cursor to generate code using live data from Landbot and it fetches, processes, and writes. all in a single agentic loop. 8 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

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 Cursor 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 Cursor via MCP

Follow these steps to integrate the Landbot MCP Server with Cursor.

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

Save the file

Cursor will automatically detect the new MCP server

Start using Landbot

Open Agent mode in chat and ask: "Using Landbot, help me...". 8 tools available

Why Use Cursor with the Landbot MCP Server

Cursor AI Code Editor provides unique advantages when paired with Landbot through the Model Context Protocol.

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

Landbot + Cursor Use Cases

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

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

Landbot MCP Tools for Cursor (8)

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

assign_agent

Route conversation from bot to live agent status

get_bot

Get a single bot details by ID

get_customer

Retrieve specific metadata of one customer

get_messages

Fetch the chat sequence messages for a given customer context

list_bots

List all accessible bots in Landbot

list_customers

List recent customers interacting with bots

search_customers

Search for a particular customer by email

send_text_message

Send a message programmatically to a customer conversation

Example Prompts for Landbot in Cursor

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

"List standard bots running active pipelines right now."

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

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

Troubleshooting Landbot MCP Server with Cursor

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

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

Landbot + Cursor FAQ

Common questions about integrating Landbot MCP Server with Cursor.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.