--- title: "Connect Amazon Redshift to Google Cloud Natural Language - APIANT.ai" description: "When \"New Row\" fires in Amazon Redshift, your agent runs \"Analyze Entities\" in Google Cloud Natural Language." canonical: "https://apiant.ai/connect/amazon-redshift-to-google-cloud-natural-language" --- # Connect Amazon Redshift to Google Cloud Natural Language When **New Row** fires in [Amazon Redshift](https://apiant.ai/connections/amazon-redshift), your agent runs **Analyze Entities** in [Google Cloud Natural Language](https://apiant.ai/connections/google-cloud-natural-language). Describe the whole flow and it is built, tested on every scenario and kept running. Amazon Redshift **2** triggers Amazon Redshift **5** actions Google Cloud Natural Language **3** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want Amazon Redshift and Google Cloud Natural Language to do together? Give your AI client this address. `https://mcp.apiant.ai` One connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser. ### Set it up in your client ### Claude Code Run this in the directory you want to work in. `claude mcp add --transport http -s project apiant-ai https://mcp.apiant.ai` Start Claude Code there, approve the server, and sign in in the browser page it opens. [Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code) ### Claude, web and desktop Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### Cursor Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### Zed Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### Codex and the ChatGPT desktop app Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### Any other MCP client Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) Example flows ## What Amazon Redshift can start in Google Cloud Natural Language - When **New Row** in Amazon Redshift then **Analyze Entities** in Google Cloud Natural Language - When **Updated Row** in Amazon Redshift then **Analyze Sentiment** in Google Cloud Natural Language Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships. Everything your agent can do with Amazon Redshift and Google Cloud Natural Language ## Triggers and actions 2 triggers · 8 actions - Trigger **New Row** Triggers when a new row is added to an Amazon Redshift table. - Trigger **Updated Row** Triggers when a row in an Amazon Redshift table is added or changed, based on its updated-time column. - Action **Create Rows** Adds a row to an Amazon Redshift table. - Action **Delete Rows** Deletes the rows in an Amazon Redshift table that match a condition. - Action **Find Rows** Finds rows in an Amazon Redshift table that match a condition. - Action **Query Database** Runs one SQL statement on your Amazon Redshift database and returns any rows it produces. - Action **Update Rows** Updates the rows in an Amazon Redshift table that match a condition. - Action **Analyze Entities** Finds the people, places, organizations and other named things mentioned in a piece of text. - Action **Analyze Sentiment** Scores the overall emotional tone of a piece of text, plus the tone of each sentence. - Action **Classify Text** Sorts a piece of text into content categories such as /Arts & Entertainment or /Business. ## Each app on its own - [ **Amazon Redshift** Amazon Redshift is a fast, scalable data warehouse that makes it simple and cost-effective to analyze all...](https://apiant.ai/connections/amazon-redshift) - [ **Google Cloud Natural Language** Machine learning API for text analysis, including sentiment detection, entity extraction, and syntax parsing.](https://apiant.ai/connections/google-cloud-natural-language) Reviews ## What our customers say ## More from Amazon Redshift - [ **Amazon Redshift to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/amazon-redshift-to-hubspot) - [ **Amazon Redshift to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/amazon-redshift-to-salesforce) - [ **Amazon Redshift to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/amazon-redshift-to-slack) - [ **Amazon Redshift to Google Sheets** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/amazon-redshift-to-google-sheets) - [ **Amazon Redshift to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/amazon-redshift-to-gmail) - [ **Amazon Redshift to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/amazon-redshift-to-google-calendar) ## More into Google Cloud Natural Language - [ **HubSpot to Google Cloud Natural Language** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-google-cloud-natural-language) - [ **Salesforce to Google Cloud Natural Language** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-google-cloud-natural-language) - [ **Slack to Google Cloud Natural Language** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-google-cloud-natural-language) - [ **Google Sheets to Google Cloud Natural Language** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-google-cloud-natural-language) - [ **Gmail to Google Cloud Natural Language** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-google-cloud-natural-language) - [ **Google Calendar to Google Cloud Natural Language** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-google-cloud-natural-language) Questions ## Amazon Redshift and Google Cloud Natural Language, answered ### ### What can start an automation from Amazon Redshift? Any of Amazon Redshift's 2 triggers in the catalog, including New Row and Updated Row. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in Google Cloud Natural Language when something happens in Amazon Redshift? Any of Google Cloud Natural Language's 3 actions, including Analyze Entities, Analyze Sentiment and Classify Text. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Google Cloud Natural Language to Amazon Redshift? Google Cloud Natural Language has no triggers in the catalog today, so automations start in Amazon Redshift. If you need the other direction, ask: your agent reads Google Cloud Natural Language's API documentation and adds it. ### ### Do I have to build a connector for Amazon Redshift or Google Cloud Natural Language? No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running. ### ### Can my AI client use Amazon Redshift and Google Cloud Natural Language without building an automation? Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both. ### ### What happens when something fails? Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships. ### ### Is there a free plan? Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.