An astronaut overseeing a futuristic data hub
Download PDFMarkdown Version

Connect Tool Call Schema Validator to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Stop runtime errors by enforcing strict argument schemas.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Tool Call Schema Validator.

  1. 01

    Check type conformity

    This capability performs a granular check of a single value against a specific type constraint.

  2. 02

    Summarize validation report

    This capability aggregates multiple validation errors into a single, human-readable summary.

  3. 03

    Validate tool call

    This capability checks if a specific set of capability arguments matches your provided JSON schema definition.

Real work

What teams actually run

01

Agent Reliability

Ensure your agent doesn't pass a string to a function expecting a number.

02

API Protection

Validate agent-generated payloads against your existing JSON schemas before they hit your production endpoints.

03

Complex Data Debugging

Use path-based reporting to find exactly which field in a large nested object is failing validation.

04

Constraint Testing

Verify that agent inputs stay within specific numeric bounds or allowed enum values.

One connector, every AI

Tool Call Schema Validator works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Tool Call Schema Validator to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

864ms average. Fast in production.

Tool Call Schema Validator is checked daily against the live service.

Daily averagePeak 1108ms
Oct 3Today
Fastest day
645ms
Slowest day
1108ms
14-day trend
Improving-18%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Tool Call Schema Validator, so you can see the experience inside your AI.

It does not authenticate your account with Tool Call Schema Validator. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Tool Call Schema Validator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_fjeQqEAkovq6wv5QOSR8yluR5fVJhGSyYuZMaIIw/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 — Tool Call Schema Validator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "tool-call-schema-validator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_fjeQqEAkovq6wv5QOSR8yluR5fVJhGSyYuZMaIIw/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Tool Call Schema Validator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Tool Call Schema Validator owners hand off.

This MCP is built for developers building reliable agentic workflows that depend on structured data.

  • 01

    AI Engineers

    They use it to prevent agent capability calls from crashing downstream services.

  • 02

    Backend Developers

    They hand off schema definitions to the MCP to protect their APIs from malformed agent inputs.

  • 03

    LLM App Developers

    They use it to debug why an agent is failing to interact with specific capabilities.

FAQ

Questions Tool Call Schema Validator owners ask.

  • 01

    What does this MCP actually do?

    It validates that the arguments an AI agent wants to use for a capability call match a specific JSON schema. It catches type errors, missing fields, and out-of-bounds values.

  • 02

    Which AI clients can use this?

    You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 03

    How does it handle nested data?

    It performs deep, recursive traversal of complex objects and arrays, providing the exact path to any error found.

  • 04

    Do I need to host this myself?

    No, Vinkius hosts and manages the MCP for you. You just connect your client and start using the capabilities.

  • 05

    Can it check for specific number ranges?

    Yes, it can check numeric bounds and other constraints defined in your JSON schema.

  • 06

    What does this capability validate?

    It validates that LLM-generated arguments strictly match a provided JSON Schema, including types, required fields, and logical constraints like min/max values.

  • 07

    How are errors reported?

    Errors are reported using precise path notation, such as args.items[0].id, so you know exactly which part of the input failed validation.

  • 08

    Can it handle nested objects?

    Yes, the validator uses recursive traversal to ensure every level of a nested object or array is checked against the schema.

Explore

More in Developer Tools

Suggestions

Connect Tool Call Schema Validator to Claude, Cursor, ChatGPT & more