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Connect Agent Description Tool Alignment Checker to your AI

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 multi-agent frameworks from failing due to mismatches.

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

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 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

Real work

What teams actually run

01

Building a Research Bot

You define an agent as a 'researcher,' but the capabilities are too limited. This MCP immediately flags the mismatch, telling you the agent can't perform its stated job.

02

Setting up a Customer Service Agent

You want the agent to handle billing inquiries, but you forget to assign the billing capability. The MCP detects this gap before the agent ever goes live.

03

Auditing a Complex Workflow

Before a major release, you run the system through the MCP to get a summary report, confirming all components are aligned and ready.

04

Refining Agent Personas

You use the keyword extraction capability to pull out the precise functional core of an agent's description, helping you refine its scope.

One connector, every AI

Agent Alignment Checker 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 Agent Alignment Checker 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

881ms average. Fast in production.

Agent Alignment Checker is checked daily against the live service.

Daily averagePeak 1073ms
Oct 3Today
Fastest day
756ms
Slowest day
1073ms
14-day trend
Improving-22%

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

Guided setup for Claude? Set up Agent Alignment Checker in Claude and other AIs

See all the AI clients this connector works with ↑

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.

  • 05

    What does this capability help prevent?

    It prevents errors in multi-agent frameworks where an agent is assigned tasks it cannot actually perform due to missing or irrelevant capabilities.

  • 06

    How is the alignment score calculated?

    The score is the ratio of shared semantic keywords between the agent's description and the capability's functional capabilities.

  • 07

    Can I use this with CrewAI?

    Yes, it is specifically designed to resolve mismatch errors in frameworks like CrewAI and AutoGen.

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