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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Constraint Satisfaction Verifier with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. A deterministic validator for LLM outputs to enforce strict business and structural constraints.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 3 capabilities

The complete Constraint Satisfaction Verifier capability set.

These are the exact actions your AI can choose when you ask it to work with Constraint Satisfaction Verifier.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Constraint Satisfaction Verifier.

  1. 01

    Validate path syntax

    Verifies if a string is a validly formatted path for traversing complex nested objects and arrays

  2. 02

    Verify constraints

    Performs a full evaluation of a dataset against a provided set of validation rules

  3. 03

    Get schema template

    Provides a structural template to help users construct valid fieldPath strings

Observed, not estimated

798ms average. Fast in production.

Constraint Satisfaction Verifier is checked daily against the live service.

Daily averagePeak 912ms
Aug 20Today
Fastest day
623ms
Slowest day
912ms
14-day trend
Slowing+33%

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 Constraint Satisfaction Verifier, so you can see the experience inside your AI.

It does not authenticate your account with Constraint Satisfaction Verifier. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Constraint Satisfaction Verifier Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_nvhD3DWcjeQ6eQOsMPh60JgZm9wAOQ4RBIPMcHPS/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 — Constraint Satisfaction Verifier capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "constraint-satisfaction-verifier-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_nvhD3DWcjeQ6eQOsMPh60JgZm9wAOQ4RBIPMcHPS/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

FAQ

Questions Constraint Satisfaction Verifier owners ask.

  • 01

    How do I check if my JSON output is valid?

    You can use the verify_constraints capability to evaluate your data against a set of rules, or get_schema_template to discover valid paths for your data structure.

  • 02

    What kind of operators are supported?

    Supported operators include equality (eq), inequality (neq), greater than (gt), less than (lt), membership (in), substring/element presence (contains), and regular expression matching (regex_match).

  • 03

    Can I validate nested object paths?

    Yes, the verifier supports dot notation and bracket notation (e.g., 'user.profile.age' or 'items[0].price') to traverse complex nested structures.

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