Landbot MCP Server for Windsurf 8 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Landbot through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
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Vinkius supports streamable HTTP and SSE.
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.




{
"mcpServers": {
"landbot": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Windsurf's Cascade agent chains multiple Landbot tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 8 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
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 Windsurf 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 Windsurf via MCP
Follow these steps to integrate the Landbot MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Landbot
Open Cascade and ask: "Using Landbot, help me...". 8 tools available
Why Use Windsurf with the Landbot MCP Server
Windsurf provides unique advantages when paired with Landbot through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 8 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Landbot + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Landbot MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Landbot and generate models, types, or handlers based on real API responses
Live debugging: query Landbot tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Landbot and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Landbot data with Cascade's code generation to scaffold entire features in minutes
Landbot MCP Tools for Windsurf (8)
These 8 tools become available when you connect Landbot to Windsurf 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 Windsurf
Ready-to-use prompts you can give your Windsurf 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 Windsurf
Common issues when connecting Landbot to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Landbot + Windsurf FAQ
Common questions about integrating Landbot MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Landbot with your favorite client
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Python SDK for building production-grade OpenAI agent workflows.
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TypeScript toolkit for building AI-powered web applications.
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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 Landbot to Windsurf
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
