Typebot MCP Server

Typebot MCP Server

Enables interaction with Typebot's REST API to create, manage, publish, and chat with Typebots, and retrieve conversation results through natural language commands.

Category
Visit Server

README

Typebot MCP Server

smithery badge

A small MCP server that exposes Typebot's REST API as callable tools in Claude Desktop and other MCP clients (via Streamable HTTP transport). You can create, list, get, update, delete, publish/unpublish Typebots, list results, and start chats—using natural-language commands.


Features

  • createBot
    Create a new Typebot in your workspace.
    Required: name
    Optional: workspaceId, description

  • listBots
    List all Typebots in your workspace.
    Optional: workspaceId

  • getBot
    Fetch a Typebot by its ID.
    Required: botId

  • updateBot
    Patch an existing Typebot (e.g. rename).
    Required: botId, typebot (object with fields to change)
    Optional: overwrite

  • deleteBot
    Delete a Typebot by its ID.
    Required: botId

  • publishBot / unpublishBot
    Toggle a Typebot’s published state.
    Required: botId

  • listResults
    Retrieve conversation results for a Typebot.
    Required: botId
    Optional: limit, cursor, timeFilter, timeZone

  • startChat
    Begin a new chat session with a Typebot.
    Required: botId
    Optional: chat.context


Prerequisites

  1. Node.js 18+
  2. A valid Typebot API token and workspace ID
  3. Claude Desktop connected to your local MCP server

Installation

Option 1: Clone the repository

git clone <repo-url>
cd typebot-mcp
npm install
npm run build

Option 2: Install via npm

npm install typebot-mcp
npm run dev # for development
# or
npm run build # for production build

Option 3: Install via Smithery

You can easily install this MCP server through Smithery:

  1. Visit https://smithery.ai/server/@hithereiamaliff/typebot-mcp
  2. Follow the installation instructions on the Smithery page
  3. Configure your environment variables as described in the Deployment Options section

Running

Development Mode

npm run dev

This will start the server in development mode with hot reloading using Smithery CLI.

Production Build

npm run build

This will create a production build using Smithery CLI.


Usage in Claude Desktop

Simply write natural commands like:

User: “Create me a new typebot”
Claude: “Sure—what name?”
User: “MyDemoBot”
Claude (internally invokes):

@createBot {"name":"MyDemoBot"}

Or, explicitly:

@updateBot {"botId":"<your_bot_id>","typebot":{"name":"NewName"},"overwrite":true}

You can also start a chat:

@startChat {"botId":"<your_bot_id>"}

Extending

  • Add new tools by implementing them in src/tools/bots.ts and registering them in src/index.ts.
  • Define a Zod schema for each tool to get automatic prompting and validation.

Deployment Options

Local Configuration (Claude Desktop)

To connect Claude Desktop to this MCP server locally, you can run it in development mode and use the HTTP URL:

npm run dev

This will start the server on http://localhost:8181 by default. You can then add this URL to your Claude Desktop configuration.

Smithery Deployment

To deploy this MCP server on Smithery:

  1. Push your code to a GitHub repository
  2. Log into your Smithery account
  3. Create a new deployment and connect it to your GitHub repository
  4. Configure the following environment variables in Smithery:
    • TYPEBOT_TOKEN: Your Typebot API token
    • TYPEBOT_WORKSPACE_ID: Your Typebot workspace ID
    • TYPEBOT_API_URL: The full URL to your Typebot API including the /api/v1 path (e.g., https://your-typebot-domain.com/api/v1)
  5. Deploy the application
  6. Use the provided URL to connect Claude to your MCP server

License

This project is licensed under the MIT License - see the LICENSE file for details.


Acknowledgements

This project is a direct fork of osdeibi's MCP-typebot. It builds upon the original work with the following improvements:

  • Configurable API URL: Added support for custom Typebot API endpoints via the TYPEBOT_API_URL environment variable instead of hardcoded URLs
  • Improved Error Handling: Enhanced error messages and validation in English
  • Better Configuration: More flexible configuration options for different Typebot instances
  • Code Quality: Various code improvements and optimizations

Migration from STDIO to HTTP Transport

This MCP server has been migrated from the deprecated STDIO transport to the recommended Streamable HTTP transport using the Smithery CLI. This migration provides several benefits:

  • Better Scalability: HTTP transport allows for multiple concurrent connections
  • Improved Reliability: Avoids issues with process management and IPC
  • Enhanced Monitoring: Better logging and debugging capabilities
  • Future Compatibility: Ensures compatibility with future MCP clients and standards

The migration was completed before the September 7, 2025 deadline set by Smithery for discontinuing STDIO transport support.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured