Voiceflow MCP Client

Name: Voiceflow MCP Client
Author: voiceflow-gallagan

@voiceflow-gallagan

Repository

About Voiceflow MCP Client

No overview available yet

#voiceflow #mcp #client #nodejs #api

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "voiceflow-mcp-server-client": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "mcp-client",
        "."
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Voiceflow MCP Client?

A Node.js client for the Model Context Protocol (MCP) that integrates with remote MCP servers to provide tools for your Voiceflow Agent.

How to use Voiceflow MCP Client?

Install Node.js 20+, clone the repository with submodules, install dependencies, build MCP servers, set up a .env file with required keys, configure servers-config.json, then run npm start to start the API server on the configured port.

Key features of Voiceflow MCP Client

Support for multiple remote MCP servers via HTTP transport
Tool discovery and integration with Claude AI
Dynamic server configuration (Zapier) through environment variables
Automatic error handling and retries
Docker support with health check and volume mounting
Command-based and environment-variable-substituted server configuration

Use cases of Voiceflow MCP Client

Building Voiceflow agents that can search the web via Brave Search
Integrating Google Calendar management into a Voiceflow agent
Combining weather data lookups with conversational AI
Using Playwright for headless web browsing within a Voiceflow agent
Automating workflows by connecting to Zapier MCP server

FAQ from Voiceflow MCP Client

What is the Model Context Protocol (MCP)?

MCP is a protocol that allows AI agents to discover and invoke tools from remote servers. This client connects to MCP servers and makes their tools available to a Voiceflow agent via Claude AI.

What are the prerequisites to run the client?

Node.js 20.x or higher and npm are required. For Google Calendar, OAuth 2.0 credentials from Google Cloud Console are needed. An Anthropic API key and a Brave Search API key are also required.

How do I configure Google Calendar integration?

Set the GCP_SAVED_TOKENS and GCP_OAUTH_KEYS environment variables with the full JSON objects from the OAuth flow and client configuration file.

Can I add other MCP servers dynamically?

Dynamic server configuration via environment variables is currently only available for the Zapier server using ZAPIER_MCP_URL. Other servers are configured in servers-config.json.

How do I run the client with Docker?

Build the image with docker build -t mcp-client . and run with docker run -p 3000:3000 --env-file .env --name mcp-client mcp-client. A health check endpoint is available at /health.