Dialogflow CX MCP Server
by Yash-Kavaiya
A powerful Model Control Protocol (MCP) server implementation for Google Dialogflow CX, enabling seamless integration between AI assistants and Google's advanced conversational platform. This server bridges the gap between AI assistants and Dialogflow CX, unlocking powerful conversational capabilities!
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What is Dialogflow CX MCP Server?
This project provides a suite of tools that allow AI assistants to interact with Dialogflow CX agents through a standardized protocol. The server handles all the complexity of managing conversations, processing intent detection, and interfacing with Google's powerful NLU systems.
How to use Dialogflow CX MCP Server?
To use the server, you can either use Docker or install it manually. After installation, configure the server with your Dialogflow API key, project ID, location, and agent ID. Then, you can use the provided functions like initialize_dialogflow, detect_intent, detect_intent_from_audio, and match_intent to interact with your Dialogflow CX agent.
Key features of Dialogflow CX MCP Server
Bidirectional communication with Dialogflow CX
Intent detection and matching capabilities
Audio processing for speech recognition
Webhook request/response handling
Session management for persistent conversations
Secure API authentication
Use cases of Dialogflow CX MCP Server
Integrating AI assistants with Dialogflow CX
Building conversational interfaces for applications
Automating customer service interactions
Creating voice-enabled applications
FAQ from Dialogflow CX MCP Server
What is Dialogflow CX?
What is Dialogflow CX?
Dialogflow CX is Google's advanced conversational AI platform.
What is MCP?
What is MCP?
MCP stands for Model Control Protocol, a standardized protocol for interacting with AI models.
How do I get a Dialogflow API key?
How do I get a Dialogflow API key?
You can obtain a Dialogflow API key from the Google Cloud Console.
What is Smithery.ai?
What is Smithery.ai?
Smithery.ai is a platform that allows for easy deployment and management of MCP servers.
How can I contribute to this project?
How can I contribute to this project?
You can contribute by forking the repository, creating a feature branch, committing your changes, and opening a pull request.