• DATA
  • LOGIC
  • HUMAN
  • ACTION

How to classify raw text using NLP with your AI

Connect your AI to an Azure Function to turn messy text into structured data. Once you're set up, your agent can trigger specific logic to categorize any input.

Ask AI about this page

Short answer

How can I use my AI to classify raw text?

You pass the raw text to a dedicated Azure Function. The function runs your NLP logic and returns a structured response that your AI can immediately use. This setup turns unpredictable text into predictable data.

Where your data lands.

Structured outcomes.

The AI uses the function to route information based on the classification results.

DATA

Structured JSON objects

The function returns parsed data. Your AI receives a clean object instead of a wall of text.

LOGIC

Automated routing

Based on the classification, your AI can decide which next step to take in your workflow.

HUMAN

Manual review flags

If the NLP confidence is low, the AI can flag the text for you to check personally.

ACTION

Downstream triggers

The structured output allows your AI to update sheets, send specific alerts, or log entries.

The workflow

What your AI does when text arrives.

The AI acts as the orchestrator, using the function as its specialized NLP engine.

  1. Capture input

    Your AI identifies unstructured text from a chat, a file, or a message that needs processing.

    invoke_function

  2. Execute NLP

    The AI sends that text to your specific Azure Function to run classification models.

    invoke_function

  3. Parse results

    The function returns a structured payload, which the AI interprets as a set of defined categories or labels.

    invoke_function

  4. Finalize task

    The AI uses the new structured data to complete the requested operation or ask for clarification.

    invoke_function

Try it

Copy these to start.

Use these prompts to trigger the classification process.

Starting points

These are templates. Swap out the bracketed text with your specific function names and text samples.

Azure Functions Invoke Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_dGRfnT2CQ2k1Hk0iY7hx3LI4q0ZFwVAcEug26G89/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Azure Functions Invoke capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "azure-functions-invoke-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_dGRfnT2CQ2k1Hk0iY7hx3LI4q0ZFwVAcEug26G89/mcp"
    }
  }
}
Copy into chat04

  • Classify this customer feedback using my Azure Function: [paste text here]

  • Run the NLP classification on the contents of this support ticket: [paste text here]

  • Use the invoke_function tool to categorize the text in this spreadsheet row.

  • Take this raw log entry and return a structured JSON object via my function.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Azure Functions Invoke once, then ask.

You only need to set up the connection once. Your credentials stay encrypted, and you can immediately start using the tools in any MCP-compatible client.

Connect Azure Functions Invoke to your AI

FAQ

How this task behaves.

  • 01

    Can the AI change my Azure Function code?

    No. The AI can only trigger the function using the parameters you provide. It cannot modify the underlying logic or code.

  • 02

    What happens if the function returns an error?

    The AI will receive the error message from the function and report it to you directly.

  • 03

    Does the AI decide how to classify the text?

    No. The classification logic lives inside your Azure Function. The AI simply passes the data and handles the result.

  • 04

    Can I use this to process large files?

    The ability to process large files depends on your specific function's configuration and timeout limits, not the connector itself.

  • 05

    Will the AI automatically save the results to a database?

    No. The AI will receive the structured data, but you must tell it to perform a subsequent action to save that data elsewhere.

  • More questions about Azure Functions Invoke? The Connector page answers them. See everything the Azure Functions Invoke Connector can do

Connect Azure Functions Invoke to Claude, Cursor, ChatGPT & more