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Vinkius

JSON Schema Validator Connector for AI agents.

1 live capability

Stop LLM hallucinations from breaking your function calling workflows.

Live agent request JSON Schema Validator / Connector

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AI Agent

Why people use JSON Schema Validator

Stop LLM hallucinations with JSON Schema Function Call Validator

Instead of a clean execution, you get a cascade of 500 errors and broken database entries because the JSON was malformed.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You stop broken function calls from crashing your downstream services.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Broken API calls in production

    An agent tries to call a weather API but sends 'London' as an integer.

  2. Real-world use case 02

    Hallucinated parameters in complex schemas

    Your agent adds a 'format' field that does not exist in your schema.

  3. Real-world use case 03

    Missing required fields in multi-step workflows

    A developer needs all user IDs present in a batch update.

Complete set · 1capability

The complete JSON Schema Validator capability set.

These are the exact actions your AI can choose when you ask it to work with JSON Schema Validator.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through JSON Schema Validator.

  1. 01 Capability

    Validate function call

    Checks a JSON payload against your schema to find errors. It identifies missing, extra, or incorrectly typed parameters immediately.

Set up in minutes

One URL. Then ask JSON Schema Validator to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use JSON Schema Validator from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_21yoFjCa6YURZm8sCCyeJadvPgEYlKfXVV7HUnII/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it JSON Schema Validator, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable JSON Schema Validator for the conversation.

Bring your own AI

Change the model, client or framework. Keep JSON Schema Validator connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
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  • JetBrains
  • Warp
  • Amazon Q
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  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
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  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about JSON Schema Validator.

The practical details behind the request, access and result.

How can I prevent broken JSON in Claude?

Use this MCP to check every output against a schema. It catches errors before they break your downstream logic.

Does JSON Schema Function Call Validator detect extra fields?

Yes, it specifically flags any parameters that appear in the payload but are not defined in your provided schema.

Can I use this for debugging Cursor agent errors?

Absolutely. You can pass the outputs from your Cursor agent through this MCP to see exactly why a capability call is failing.

Will this MCP help with type mismatches in my agents?

Yes, it identifies when an agent sends a string where an integer or boolean is required by your schema.

How do I know if my agent is getting more reliable?

You can monitor the parameter validity percentage returned by the MCP to track improvements in your agent's accuracy over time.

What does the validator check for?

It checks for missing required parameters, type mismatches (like a string where an integer is expected), and hallucinated parameters that are not defined in your JSON Schema.

Can I use this to prevent hallucinations?

Yes. By using validate_function_call, you can detect when an LLM attempts to use parameters that do not exist in your schema, allowing you to catch hallucinations before they reach your downstream logic.

What format should the input be in?

The payloadJson and schemaJson must both be provided as valid JSON strings.

One connection away

Give your agent a direct line to JSON Schema Validator.

Connect JSON Schema Validator once. Keep it beside 5,900+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available