• VALID JSON
  • AGENT READY
  • HUMAN REVIEW
  • SCHEMA MATCH

How to get structured data for agents with your AI

Connect SambaNova to your AI client to turn messy text into predictable, typed outputs. This ensures your agents act on data that fits your exact requirements.

Ask AI about this page

Short answer

How can I force my AI to output structured data?

You use SambaNova's inference capabilities to generate responses that strictly follow a specific schema. This turns raw reasoning into typed, predictable data that your agents can actually use for downstream tasks.

Where every output lands.

The results of structured inference

Once you define your schema, the AI directs the information into these specific formats.

VALID JSON

Strictly typed objects

The AI uses create_response to build objects that match your keys and types perfectly. You get clean data ready for code.

AGENT READY

Predictable agent inputs

Because the output follows a schema, your autonomous agents won't break when they try to read the response. It keeps the logic loop stable.

HUMAN REVIEW

Manual verification needed

The AI generates the data, but you still need to check the content for accuracy before passing it to a production system. The human remains the final validator.

SCHEMA MATCH

Guaranteed format compliance

The inference engine ensures the response doesn't wander into conversational filler. You get exactly the structure you requested.

The workflow

What your AI does when a schema is requested.

The AI moves from raw text to a structured response through a single inference step.

  1. Analyze the schema

    Your agent looks at the requested data structure and the raw input text to map out the necessary fields.

    create_response

  2. Execute inference

    The AI runs the prompt through SambaNova to generate a response that adheres to the constraints.

    create_response

  3. Format the output

    The engine forces the output into the specific typed format you defined in your prompt.

    create_response

  4. Deliver the object

    The final, structured response is handed back to your agent or client for immediate use.

    create_response

Try it

Copy these to start.

Use these prompts to begin generating structured data immediately.

Starting points

These are templates. You should replace the bracketed text with your specific JSON schema or the data you want to extract.

SambaNova Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_z52tsMdkFaoCTCBeg6u7bbxNhhnjcT0r5KXU6hjj/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 — SambaNova capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "sambanova-ai-inference-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_z52tsMdkFaoCTCBeg6u7bbxNhhnjcT0r5KXU6hjj/mcp"
    }
  }
}
Copy into chat04

  • Extract the following information from this email and return it as a JSON object: { "sender": "string", "priority": "high|low", "summary": "string" }

  • Analyze this GitHub repository readme and output a structured list of dependencies in this format: { "libraries": [ { "name": "string", "version": "string" } ] }

  • Read this customer support ticket and generate a structured summary: { "issue_type": "string", "sentiment": "string", "urgency_score": "integer" }

  • Convert this raw text log into a structured JSON array: { "timestamp": "ISO8601", "event": "string", "level": "string" }

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

Start here

Connect SambaNova once, then ask.

You only need to link the MCP to your client once. After that, your agent can use SambaNova for any structured data tasks.

Connect SambaNova to your AI

FAQ

How the structured data task behaves

  • 01

    Can the AI change my original data?

    No. The AI only reads the data you provide and generates a new, structured response based on it.

  • 02

    Does this work with any AI client?

    Yes, it works with any MCP-compatible client like Claude, Cursor, or Windsurf.

  • 03

    Will the AI always follow my JSON schema?

    The goal is strict adherence, but you should always include a human in the loop to verify the output before using it in automated workflows.

  • 04

    Can the AI delete files using this tool?

    No. This MCP only has the capability to generate responses via create_response.

  • 05

    Do I need to manage my own API keys?

    No. Vinkius hosts the MCP and manages the connection for you.

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

Connect SambaNova to Claude, Cursor, ChatGPT & more