Google Cloud Natural Language MCP connector

Google Cloud Natural Language is Google's machine learning API that analyzes text to extract insights about sentiment, entities, syntax, and content classification. The Google Cloud Natural Language MCP connector allows AI agents to analyze sentiment in documents, extract and classify entities, and parse linguistic structure from text content. It also supports content classification into categories and entity sentiment analysis to understand how specific entities are discussed within documents.

Authentication type

• OAuth 2.0 Authorization Code - Requires a one-time user login to authorize the agent to access the service on their behalf.

Uses

Use the Google Cloud Natural Language MCP connector to perform the following actions:

• Identify customer sentiment from support tickets and feedback to prioritize service improvements
• Extract entities from contracts and documents to organize key business information automatically
• Classify customer reviews by sentiment to track brand perception across channels
• Detect language and analyze tone in social media mentions to monitor reputation
• Score customer satisfaction from survey responses to identify retention risks early
• Analyze product feedback sentiment to inform development roadmaps with customer insights
• Extract names, locations, and organizations from unstructured text for data enrichment
• Flag negative sentiment in communications to route urgent issues to specialists

Example prompts

Use the following example prompts to invoke Google Cloud Natural Language MCP connector tools from your AI assistant or Boomi Connect workflow:

• Analyze the sentiment of all customer feedback submitted this week in Google Cloud Natural Language.
• Extract company names and locations from our contract documents using Google Cloud Natural Language.
• Show me which customer reviews have negative sentiment according to Google Cloud Natural Language.
• Analyze sentiment across all support tickets to find the most frustrated customers.
• Extract key entities from our incoming emails and organize them by type.
• Detect the language and sentiment of social media posts mentioning our brand.
• Score the sentiment of product reviews to identify trends in customer satisfaction.
• Find all person names and organizations mentioned in our sales call transcripts.
• Analyze the tone of customer messages to prioritize urgent support requests.
• Extract entities from invoice descriptions and categorize them automatically.

Google Cloud Natural Language MCP connector tools

The Google Cloud Natural Language MCP connector provides the following tools. Each tool maps to a specific action you can invoke from your AI agent or automation.

Tool	Description
analyzeSentiment	Determines the emotional tone and polarity of text content.