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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Agent Alignment Checker with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Stop multi-agent frameworks from failing due to mismatches.

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 Agent Alignment Checker capability set.

These are the exact actions your AI can choose when you ask it to work with Agent Alignment Checker.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Agent Alignment Checker.

  1. 01

    Analyze agent alignment

    Determines how well an agent's stated purpose matches the capabilities actually assigned to it

  2. 02

    Extract keywords

    Isolates the functional core of a text block by identifying relevant action and capability tokens

  3. 03

    Get summary

    Provides a high-level status report of the agent's functional readiness

Observed, not estimated

809ms average. Fast in production.

Agent Alignment Checker is checked daily against the live service.

Daily averagePeak 992ms
Aug 20Today
Fastest day
644ms
Slowest day
992ms
14-day trend
Slowing+39%

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 Agent Alignment Checker, so you can see the experience inside your AI.

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

Agent Alignment Checker Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_cqaWipKDmAmjvveDEIkrlGf1b2a5h7ihAktH6V5C/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 — Agent Alignment Checker capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "agent-description-tool-alignment-checker-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_cqaWipKDmAmjvveDEIkrlGf1b2a5h7ihAktH6V5C/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

Who it's for

Built for the work Agent Alignment Checker owners hand off.

This MCP is built for developers and ML engineers building complex, multi-agent systems. If you're using frameworks like AutoGen or CrewAI, you need this to prevent runtime failures. It ensures your AI agents are logically sound before deployment.

  • 01

    AI Developer

    You use this to validate that the roles and capabilities you assign to your agents actually fit together.

  • 02

    ML Engineer

    You use this to audit agent descriptions and capability sets for logical consistency and capability gaps.

  • 03

    AI Architect

    You use this to confirm the overall functional readiness of a complex, multi-component AI system.

FAQ

Questions Agent Alignment Checker owners ask.

  • 01

    What is 'agent alignment' in this context?

    Agent alignment means checking if an agent's stated purpose or description actually matches the capabilities of the capabilities you've given it. If they don't match, the agent will fail its task, no matter how good the description is.

  • 02

    Does this MCP work with AutoGen or CrewAI?

    Yes. This MCP was designed specifically to provide critical validation for multi-agent frameworks like CrewAI and AutoGen, making sure your setup is robust.

  • 03

    How do I know if my agent is ready to go?

    You run the get_summary capability. It gives you a high-level status report and an alignment score, telling you if the agent is functionally ready or if there are gaps.

  • 04

    Is this capability just for keyword extraction?

    No. While it includes keyword extraction, its main job is validation. It uses those extracted keywords to calculate the overlap ratio between the agent's goals and the capability's functions.

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