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Agent Guard

mdfifty50-boop/agent-guard-mcp
STDIOregistry active
Summary

Built to solve the infinite loop problem in agentic workflows. Wraps your AI agents with circuit breakers, pattern detection, and stuck-agent analysis. You register each agent with thresholds, log actions as they happen, and call detect_loop or check_circuit_breaker before executing tools. It tracks the last 50 actions per agent, calculates diversity ratios, and flags exact repeats or low-progress patterns. When something goes wrong, get_stuck_report gives you token waste estimates and recovery suggestions. Useful when you're chaining LLM calls and need automatic intervention before an agent burns through your budget repeating the same failed action. Runs via stdio, integrates with Claude Desktop in one config block.

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agent-guard-mcp

MCP server that detects and prevents infinite agent loops — the #1 reliability problem in agentic systems.

Provides circuit breakers, pattern detection, stuck-agent analysis, and recovery recommendations via the Model Context Protocol.

Install

npx agent-guard-mcp

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "agent-guard": {
      "command": "npx",
      "args": ["agent-guard-mcp"]
    }
  }
}

From source

git clone https://github.com/mdfifty50-boop/agent-guard-mcp.git
cd agent-guard-mcp
npm install
node src/index.js

Tools

register_agent

Register an agent for monitoring.

ParamTypeDefaultDescription
agent_idstringrequiredUnique agent identifier
max_iterationsnumber100Max iterations before forced stop
progress_thresholdnumber0.3Min unique/total action ratio to be "making progress"

log_action

Log an agent action for loop detection. Maintains a rolling window of the last 50 actions.

ParamTypeDefaultDescription
agent_idstringrequiredAgent identifier
tool_namestringrequiredTool being called
argsobjectrequiredArguments passed
result_previewstring""Brief result preview (max 200 chars)

Returns early warnings when repeated patterns are detected.

detect_loop

Check if an agent is stuck in an infinite loop.

ParamTypeDescription
agent_idstringAgent to check

Returns:

  • is_stuck — boolean
  • confidence — 0.0 to 1.0
  • pattern — healthy, exact_repeat, low_diversity, or exact_repeat_and_low_diversity
  • suggestion — human-readable recovery advice
  • repeated_actions — list of repeated signatures with counts

set_circuit_breaker

Configure automatic intervention when action patterns repeat.

ParamTypeDefaultDescription
agent_idstringrequiredAgent identifier
max_repeatsnumber3Trigger after N identical actions
actionstring"warn""warn", "block", or "suggest_alternative"

check_circuit_breaker

Pre-flight check before executing a tool. Call this BEFORE the actual tool call.

ParamTypeDescription
agent_idstringAgent identifier
proposed_toolstringTool about to be called
proposed_argsobjectArguments about to be passed

Returns proceed: false when the circuit breaker fires (block mode only).

get_stuck_report

Detailed analysis of why an agent is stuck.

ParamTypeDescription
agent_idstringAgent to analyze

Returns: action history, pattern analysis, token waste estimate, diversity ratio, top repeated patterns, and recovery recommendations.

get_health_dashboard

Overview of all monitored agents. No parameters.

Returns all agents sorted by risk score with their status (STUCK/HEALTHY), action counts, and circuit breaker config.

Resources

URIDescription
agent-guard://agentsAll monitored agents with current status

Usage Pattern

1. register_agent — at agent startup
2. Before each tool call:
   a. check_circuit_breaker — should this action proceed?
   b. Execute the tool
   c. log_action — record what happened
3. Periodically:
   - detect_loop — am I stuck?
   - get_health_dashboard — how are all agents doing?
4. On stuck detection:
   - get_stuck_report — what went wrong and how to recover

Tests

npm test

License

MIT

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Categories
AI & LLM Tools
Registryactive
Packageagent-guard-mcp
TransportSTDIO
UpdatedApr 24, 2026
View on GitHub

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