Agent Loop Detector Connector for AI agents.
3 live capabilities
Stop infinite loops in multi-agent orchestration workflows
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Why people use Agent Loop Detector
Preventing infinite loops with Agent Loop Detector
This MCP changes that. Instead of hunting through logs, you get an automated watchdog that fingerprints every agent turn. It catches the loop for you, tells you which agents are stuck, and gives you the metrics to understand how bad the cycle is. You stop guessing and start fixing.
What Vinkius changes
You stop wasting compute on agents that are just talking in circles.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Debugging a broken AutoGen workflow
An engineer notices an agent is repeatedly calling the same capability.
- Real-world use case 02
Monitoring CrewAI cost spikes
A developer sees a sudden jump in token usage and uses the fingerprint analysis to find a repetitive delegation cycle.
- Real-world use case 03
Validating LangGraph logic
During testing, a researcher uses cycle metrics to ensure their new agentic graph doesn't enter an infinite recursion loop.
Complete set · 3capabilities
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.
01—03
3 capabilities in this set.
Part of 3 available through Agent Loop Detector.
- 01 Capability
Calculate current cycle metrics
Examine a specific detected loop to see its intensity and purity. This helps you understand the severity of a repetitive cycle.
- 02 Capability
Check for loops
Scan the current sequence of agent actions to see if they have entered a repetitive cycle. It identifies if your agents are stuck.
- 03 Capability
Get fingerprint analysis
View a breakdown of how often specific action fingerprints appear in the history. This helps spot emerging patterns.
Set up in minutes
One URL. Then ask Agent Loop Detector to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Agent Loop Detector from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_4bEQimqmcMRgyAzx6Y0r39fDaqtXvpTFbfcuUiu6/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Agent Loop Detector, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Agent Loop Detector for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_4bEQimqmcMRgyAzx6Y0r39fDaqtXvpTFbfcuUiu6/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Agent Loop Detector URL.
- Step 03
Save and start
Save the connection and enable Agent Loop Detector in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"agent-loop-detector": {
"url": "https://edge.vinkius.com/vk_preview_4bEQimqmcMRgyAzx6Y0r39fDaqtXvpTFbfcuUiu6/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Agent Loop Detector
Open Agent mode in chat and ask: "Using Agent Loop Detector, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"agent-loop-detector": {
"url": "https://edge.vinkius.com/vk_preview_4bEQimqmcMRgyAzx6Y0r39fDaqtXvpTFbfcuUiu6/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Agent Loop Detector
Ask Copilot: "Using Agent Loop Detector, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"agent-loop-detector": {
"url": "https://edge.vinkius.com/vk_preview_4bEQimqmcMRgyAzx6Y0r39fDaqtXvpTFbfcuUiu6/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Agent Loop Detector
Open Cascade and ask: "Using Agent Loop Detector, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"agent-loop-detector": {
"url": "https://edge.vinkius.com/vk_preview_4bEQimqmcMRgyAzx6Y0r39fDaqtXvpTFbfcuUiu6/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Agent Loop Detector
Ask Cline: "Using Agent Loop Detector, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add agent-loop-detector --transport http "https://edge.vinkius.com/vk_preview_4bEQimqmcMRgyAzx6Y0r39fDaqtXvpTFbfcuUiu6/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Agent Loop Detector
Ask Claude: "Using Agent Loop Detector, show me...". 3 tools are ready
Where the request belongs
Work Agent Loop Detector can move forward.
This is for the engineers and researchers building autonomous agentic workflows who are tired of watching their API costs spike because of a logic error in their orchestration layer.
AI Engineer
Debugging complex multi-agent handoffs in frameworks like LangGraph or AutoGen.
MLOps Engineer
Monitoring the health and cost-efficiency of production agentic workflows.
Agentic Workflow Developer
Testing new agentic patterns to ensure they don't enter infinite recursion.
Build the capability set
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Box
Store, share, and collaborate on files securely with enterprise-grade cloud content management and governance controls.
Bring your own AI
Change the model, client or framework. Keep Agent Loop Detector connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Agent Loop Detector.
The practical details behind the request, access and result.
How can Agent Loop Detector help stop high token costs?
It identifies repetitive agent cycles before they consume your entire budget. By catching loops early, you stop agents from running in circles and wasting API credits.
Can I use Agent Loop Detector with LangGraph?
Yes. This MCP is designed to work with major orchestration frameworks, including LangGraph, CrewAI, and AutoGen, to monitor agent handoffs.
How does Agent Loop Detector find which agents are stuck?
It creates unique fingerprints for every agent action. When a pattern repeats, it identifies the specific agent IDs involved in that repetitive sequence.
Does Agent Loop Detector work for single-agent setups?
No. This capability is specifically built for multi-agent orchestration where agents delegate tasks to one another, creating the potential for loops.
What is the difference between loop detection and standard logging?
Standard logging tells you what happened. This MCP tells you when what happened is a repetitive, infinite cycle, allowing you to act on the pattern rather than just the individual events.
How does the loop detection work?
The system generates a unique fingerprint for each agent action. If the same fingerprint appears multiple times based on your threshold, a loop is flagged.
What is a deterministic fingerprint?
It is a unique identifier created by combining the agent ID, the action type, and the target ID of a specific turn.
Can I adjust the sensitivity of detection?
Yes, you can use the maxRepeatThreshold parameter in the check_for_loops capability to define how many repetitions trigger a detection.
One connection away
Give your agent a direct line to Agent Loop Detector.
Connect Agent Loop Detector once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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