• VALID
  • REJECTED
  • MANUAL
  • LOGGED

How to filter invalid data with your AI agent

Connect this MCP once. Your agent then acts as a gatekeeper, checking every piece of data against your specific rules.

Ask AI about this page

Short answer

How can I stop bad JSON from breaking my app?

Your agent uses strict schema enforcement to validate incoming data against your rules. It catches errors and rejects malformed objects before they reach your database. You get a clean, predictable data stream.

Where every issue lands.

The outcomes of strict validation

The AI sorts every data object into one of these four buckets based on its structure.

VALID

Clean data passes

The AI confirms the object matches your schema. It lets the data move forward to your database or next process.

REJECTED

Malformed data stops

The AI identifies structural errors or missing fields. It blocks these objects immediately to prevent downstream crashes.

MANUAL

Human review needed

If the data is ambiguous or sits on the edge of your rules, the AI flags it for you to check manually.

LOGGED

Error history saved

Every failed validation attempt is recorded. You get a clear trail of why specific objects were rejected.

The workflow

What your AI does when data arrives.

The AI acts as a programmable barrier between raw input and your permanent storage.

  1. Schema comparison

    The AI compares the incoming JSON object against your required schema definition.

    validate_json_schema

  2. Error detection

    It identifies exactly which keys are missing or which data types are incorrect.

    validate_json_schema

  3. Strict rejection

    The AI stops any object that fails to meet the strict requirements of the schema.

    validate_json_schema

  4. Validation reporting

    The AI provides a clear reason for every rejection so you can fix the source.

    validate_json_schema

Try it

Copy these to start.

Use these prompts to begin validating your data.

Starting points

These are opening lines. Swap out the bracketed text with your actual file names or data sources.

Deterministic JSON Schema Gatekeeper Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_ktFyEC53FboFhcW2VPemJITVquvFY4zFFmc76f6c/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 — Deterministic JSON Schema Gatekeeper capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "deterministic-json-schema-gatekeeper-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_ktFyEC53FboFhcW2VPemJITVquvFY4zFFmc76f6c/mcp"
    }
  }
}
Copy into chat04

  • Validate this JSON object from my production_logs.json against the user_schema.

  • Check the data in this Google Sheet against my strict schema and tell me what failed.

  • Run a validation check on the latest batch from my API endpoint and flag any errors.

  • Use the schema in my local repo to verify this incoming payload from the webhook.

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

Start here

Connect Deterministic JSON Schema Gatekeeper once, then ask.

Just click the link to connect. Your credentials stay encrypted, and you can start using the tools in any MCP-compatible client immediately.

Connect Deterministic JSON Schema Gatekeeper to your AI

FAQ

How the gatekeeper behaves

  • 01

    Will the AI fix the bad data for me?

    No. The AI identifies and rejects invalid data to ensure only perfect data passes through. It does not attempt to rewrite or repair the malformed objects.

  • 02

    Can the AI change my database schema?

    No. The AI only reads your schema to perform validation. It has no permission to modify your database or your schema definitions.

  • 03

    What happens if the JSON is valid but the values are wrong?

    If your schema includes value constraints, like minimum numbers or specific string patterns, the AI will reject the data if those constraints aren't met.

  • 04

    Does this work with any JSON file?

    Yes, as long as you provide the schema you want the AI to use for the comparison.

  • 05

    Can I use this to clean my data?

    No. This tool is for filtering and rejection, not for cleaning or transforming data.

  • More questions about Deterministic JSON Schema Gatekeeper? The Connector page answers them. See everything the Deterministic JSON Schema Gatekeeper Connector can do

Connect Deterministic JSON Schema Gatekeeper to Claude, Cursor, ChatGPT & more