Integration & MCP for Google Cloud Dialogflow ES
Integrate and automate your Google Cloud Dialogflow ES workflows across 2,580 tools. Take full control—use your favorite LLM to orchestrate Google Cloud Dialogflow ES and make your data and tools truly work for you, not the other way around.
IT and Development
Transform Customer Engagement with Dialogflow ES
Connecting Google Cloud Dialogflow ES via MCP eliminates operational barriers by centralizing and managing data across various apps, thus enhancing efficiency and reducing complexity for the team. This integration empowers industries by leveraging natural language processing to create intelligent, responsive conversational interfaces, improving customer engagement. Furthermore, it prepares businesses for true AI-readiness by automating and streamlining their processes, positioning them advantageously for future advancements in AI technology.
Supported MCP tools
Connect insights. Empower action. With MCP, Google Cloud Dialogflow ES becomes the engine for truly collaborative work.
Can play scenarios
Can list scenarios
So you can execute these actions with Google Cloud Dialogflow ES MCP:
Watch for fulfillment
Triggers by a user query matched by intents with webhook enabled.
Create a context
Creates a context in the specified session.
Create an agent
Creates an agent in the specified project.
Create an entity type
Creates an entity type in the specified agent.
Create an intent
Creates an intent in the specified agent.
Create entities
Creates multiple entities in the specified entity type.
Delete a context
Removes a context in the specified session.
Delete an agent
Removes an agent in the specified project.
Delete an entity type
Removes an entity type in the specified agent.
Delete an intent
Removes an intent and its followup intents in the specified agent.
Delete entities
Removes multiple entities in the specified entity type.
Detect an intent
Processes a natural language query.
Get a context
Retrieves the details of a context in the specified session.
Get an agent
Retrieves the details of an agent in the specified project.
Get an entity type
Retrieves the details of an entity type in the specified agent.
Get an intent
Retrieves the details of an intent in the specified agent.
Make an api call
Performs an arbitrary authorized API call.
Update a context
Updates a context in the specified session.
Update an agent
Updates an agent in the specified project.
Update an entity type
Updates an entity type in the specified agent.
Update an intent
Updates an intent in the specified agent.
Response to fulfillment
Responds to the incoming fulfillment request. The response must occur within 10 seconds for Google Assistant applications or 5 seconds for all other applications, otherwise the request will time out.
List contexts
Lists all contexts in the specified session.
List entities
Lists all entities in the specified entity type.
List entity types
Lists all entity types in the specified agent.
List intents
Lists all intents in the specified agent.
How to use MCP with Google Cloud Dialogflow ES
Create scenario with on-demand trigger
Generate your MCP API Key
Insert MCP API Key in your favourite LLM in instructions
Boost.space MCP provides a robust integration experience with Google Cloud Dialogflow ES, enabling unparalleled conversational interface management. By utilizing this integration, businesses can seamlessly centralize their NLP-driven chatbot and voice assistant data, ensuring enhanced customer interactions. Unique workflows are crafted by automating data exchanges between Dialogflow ES and other critical business applications, which streamlines operations and minimizes manual data handling. Boost.space's automation capabilities can trigger actions such as updating CRM records or initiating customer support tickets based on dialog interactions, thereby optimizing efficiency. Moreover, AI-powered analytics within Boost.space can provide actionable insights from conversational data, helping businesses refine their customer engagement strategies. This integration supports data types like intents, entities, and session history, ensuring that all essential conversational elements are synchronized and accessible for comprehensive analysis and operational synergy.
