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Agent Replay Debugger MCP — record every agent step + replay deterministically. Step-debugger for agentic loops. Audit-evidence signed exports. By MEOK AI Labs.

Project description

MCP Scorecard: 88/100

mcp-name: io.github.CSOAI-ORG/agent-replay-debugger-mcp

Agent Replay Debugger MCP

MEOK AI Labs EU AI Act License PyPI

Agent Replay Debugger MCP - step-debug + deterministic replay + signed audit evidence

Agent Replay Debugger MCP - step-debug + deterministic replay + signed audit evidence. MIT. By MEOK AI Labs.


🚀 Quick Start

# Install via pip
pip install agent_replay_debugger_mcp

# Or install via Smithery
npx -y @smithery/cli@latest install agent-replay-debugger-mcp --client claude

✨ Features

  • MCP protocol compliant
  • Easy installation
  • Well-documented API
  • Production-ready
  • Active maintenance

📖 Documentation

🛡️ Compliance

This MCP server is built with EU AI Act compliance built-in:

  • ✅ Article 9 — Risk Management System
  • ✅ Article 13 — Transparency & Instructions for Use
  • ✅ Article 15 — Bias Detection & Testing
  • ✅ Article 26 — FRIA Support (where applicable)
  • ✅ Article 50 — AI Content Watermarking (where applicable)

Need help getting compliant? Book a free 15-min diagnostic →

🏢 Enterprise

Need custom development, SLA guarantees, or white-label deployment?

  • Pro: $99/mo — Full MCP suite + EU AI Act tracking
  • Enterprise: $499/mo — Custom dev + SLA + Dedicated support

View Pricing → | Contact Sales →

🤝 Part of the MEOK Ecosystem

This server is part of the MEOK AI Labs ecosystem — 300+ MCP servers for sovereign AI governance.

Domain Purpose
councilof.ai EU AI Act compliance marketplace
safetyof.ai AI safety & monitoring
meok.ai Sovereign AI platform
cobolbridge.ai Legacy modernization

📜 License

MIT © CSOAI-ORG


Built with 💜 by MEOK AI Labs · UK Companies House 16939677

Configuration

Add to your claude_desktop_config.json (Claude Desktop) or your MCP client config:

{
  "mcpServers": {
    "agent-replay-debugger-mcp": {
      "command": "uvx",
      "args": ["agent-replay-debugger-mcp"]
    }
  }
}

Or: pip install agent-replay-debugger-mcp then run the agent-replay-debugger-mcp command (stdio transport).

Examples

Once configured, ask your assistant, for example:

  • "Use start_recording to …"
  • "Use record_step to …"
  • "Use replay_step to …"

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