Landbot MCP Server for Claude Code 8 tools — connect in under 2 minutes
Claude Code is Anthropic's agentic CLI for terminal-first development. Add Landbot as an MCP server in one command and Claude Code will discover every tool at runtime. ideal for automation pipelines, CI/CD integration, and headless workflows via Vinkius.
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# Your Vinkius token. get it at cloud.vinkius.com
claude mcp add landbot --transport http "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.
Claude Code registers Landbot as an MCP server in a single terminal command. Once connected, Claude Code discovers all 8 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Landbot data drives decisions without human intervention.
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 Claude Code 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 Claude Code via MCP
Follow these steps to integrate the Landbot MCP Server with Claude Code.
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
Add the MCP Server
Run the command above in your terminal
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
Start using Landbot
Ask Claude: "Using Landbot, show me...". 8 tools are ready
Why Use Claude Code with the Landbot MCP Server
Claude Code provides unique advantages when paired with Landbot through the Model Context Protocol.
Single-command setup: `claude mcp add` registers the server instantly. no config files to edit or applications to restart
Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks
Claude Code runs headlessly, enabling unattended batch processing using Landbot tools in cron jobs or deployment scripts
Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features
Landbot + Claude Code Use Cases
Practical scenarios where Claude Code combined with the Landbot MCP Server delivers measurable value.
CI/CD integration: embed Landbot tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping
Headless batch processing: schedule Claude Code to query Landbot nightly and generate reports without human intervention
Shell scripting: pipe Landbot outputs into other CLI tools for data transformation, filtering, and aggregation
Infrastructure monitoring: run Claude Code in a cron job to query Landbot status endpoints and alert on anomalies
Landbot MCP Tools for Claude Code (8)
These 8 tools become available when you connect Landbot to Claude Code 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 Claude Code
Ready-to-use prompts you can give your Claude Code 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 Claude Code
Common issues when connecting Landbot to Claude Code through the Vinkius, and how to resolve them.
Command not found: claude
npm install -g @anthropic-ai/claude-codeConnection timeout
Landbot + Claude Code FAQ
Common questions about integrating Landbot MCP Server with Claude Code.
How do I add an MCP server to Claude Code?
claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.Can Claude Code run MCP tools in headless mode?
How do I list all connected MCP servers?
claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.Connect Landbot 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.
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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 Landbot to Claude Code
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
