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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use agent-loop-detector with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Ensure your AI agents always reach a conclusion.

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-loop-detector capability set.

These are the exact actions your AI can choose when you ask it to work with agent-loop-detector.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through agent-loop-detector.

  1. 01

    Analyze conversation cycles

    Identifies all repeating patterns and cycles within the provided conversation state graph

  2. 02

    Calculate deadlock risk

    Determines the mathematical probability and severity of a conversation becoming stuck

  3. 03

    Estimate recovery path

    Predicts how many more steps are required to break a cycle if an exit condition is reachable

Observed, not estimated

817ms average. Fast in production.

agent-loop-detector is checked daily against the live service.

Daily averagePeak 1011ms
Aug 20Today
Fastest day
662ms
Slowest day
1011ms
14-day trend
Slowing+14%

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-loop-detector, so you can see the experience inside your AI.

It does not authenticate your account with agent-loop-detector. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

agent-loop-detector Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_4bEQimqmcMRgyAzx6Y0r39fDaqtXvpTFbfcuUiu6/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-loop-detector capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "agent-loop-detector-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_4bEQimqmcMRgyAzx6Y0r39fDaqtXvpTFbfcuUiu6/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-loop-detector owners hand off.

This MCP is for AI engineers and developers building complex, multi-agent systems. If your agents interact with each other in a loop, this capability gives you the technical analysis you need to stabilize the workflow. It's a critical piece for anyone designing reliable, goal-oriented AI processes.

  • 01

    AI Developer

    Integrates the MCP to analyze conversation state graphs and prevent infinite loops in agentic workflows.

  • 02

    Workflow Architect

    Uses the capability to identify weak points in multi-step processes, ensuring every path leads to a defined conclusion.

  • 03

    ML Engineer

    Tests the stability of new agent models by calculating deadlock risk and predicting necessary recovery steps.

FAQ

Questions agent-loop-detector owners ask.

  • 01

    What kind of data does the Agent Loop Detector need?

    It requires the conversation state graph. This graph maps out the sequence of actions, the agents involved, and the conditions that trigger movement from one state to the next.

  • 02

    Does this MCP just tell me if there's a loop?

    No. It goes deeper. It identifies the loop entry points, calculates the loop length, and estimates the exact number of steps needed to break out of the cycle.

  • 03

    Is this capability only for chat applications?

    No. It analyzes any agentic workflow, regardless of the domain. It's based on graph theory, so it applies to any system with defined states and transitions.

  • 04

    What algorithms does it use?

    The MCP uses Tarjan's algorithm to find all strongly connected components. This is the standard method for detecting cycles in a graph.

  • 05

    Can it tell me if a deadlock is recoverable?

    Yes. It calculates the deadlock risk and, if an exit condition is present, it uses estimate_recovery_path to find the shortest way to exit.

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