• EXECUTION
  • DATA
  • SECURITY
  • HUMAN

How to run proprietary data transformations with your AI

Connect your custom logic to your AI client. Your agent sends data to a secure endpoint and gets the processed result back immediately.

Ask AI about this page

Short answer

How can I run custom data processing through my AI?

Your AI sends data payloads to a specific Azure Function URL, which executes your private code and returns the output. This lets you use your own Python or Node logic to clean or format data before the AI continues its task. You get the processed data back as a direct response.

The outcomes.

Where your data lands.

The AI handles the handoff between your prompt and your custom code.

EXECUTION

Custom code runs

The AI triggers your Azure Function with the specific parameters you provided. Your private logic handles the heavy lifting away from the LLM.

DATA

Clean results return

The processed output flows back into the conversation. Your AI receives the transformed data as if it had calculated it itself.

SECURITY

Logic stays private

Your proprietary algorithms and sensitive transformation logic live in your Azure environment. The AI only sees the inputs and the final outputs.

HUMAN

You review output

The AI presents the transformed data for your inspection. You decide if the result is ready for the next step in your workflow.

The workflow

What your AI does when a transformation is requested.

The AI acts as the bridge between your natural language instructions and your cloud-hosted functions.

  1. Parse requirements

    The AI looks at your request to determine which function needs to run and what data it needs to process.

    invoke_function

  2. Trigger the function

    The agent sends the structured payload to your Azure endpoint to start the execution.

    invoke_function

  3. Receive the payload

    Once your code finishes, the AI captures the JSON or text response sent back from the function.

    invoke_function

  4. Integrate results

    The AI uses the new, transformed data to answer your question or complete the next part of your task.

    invoke_function

Try it

Copy these to start.

Use these prompts to trigger your custom logic.

Starting points

Replace the function names and data types with your actual Azure Function identifiers and specific file names.

Azure Functions Invoke Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_9ifcPCpqGN3rD9KTvpJfjM3SpHKh6jUYEVvNoiUX/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-alternative-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_9ifcPCpqGN3rD9KTvpJfjM3SpHKh6jUYEVvNoiUX/mcp"
    }
  }
}
Copy into chat04

  • Run my 'data-cleaner' function using this raw CSV text: [paste data]

  • Invoke the 'format-json' function to convert this list into a nested object.

  • Use my Azure Function to calculate the tax rates for these specific invoice numbers.

  • Run the 'image-metadata-extractor' function on the file I just uploaded.

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

Start here

Connect Azure Functions Invoke once, then ask.

Enter your function URL and any required keys. Your credentials stay encrypted and secure on our side.

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 with specific inputs. It has no access to your source code or the Azure environment itself.

  • 02

    Does the AI see my secret API keys used inside the function?

    No. The AI only sees the data you send to the function and the response it sends back. Your internal environment variables stay private.

  • 03

    What happens if my function fails?

    The AI will receive the error message returned by your function and report it to you in the chat.

  • 04

    Can I run multiple functions in one prompt?

    Yes, if you describe the sequence clearly, the AI can call different functions one after another to complete a complex task.

  • 05

    Can the AI delete my Azure resources?

    No. This connector only has the ability to invoke a function. It cannot manage, delete, or create Azure resources.

  • 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