AIS Revizor
README.md
# [AIS Revizor](https://ais-platform.dev/revizor)
[](https://smithery.ai/servers/bswvladimir/AIS-Revizor) [](https://glama.ai/mcp/servers/bswvladimir-beep/AIS-Revizor)
**Give Your AI Coding Agent X-Ray Vision.**
AIS Revizor is a local-first MCP server that provides runtime visibility and AI-managed debug logging. It replaces blind `print()` debugging by turning runtime execution into causal chains, allowing agents to instantly find the exact breakage point in Python and TypeScript apps.
## Why Revizor?
Traditional observability tools were designed for engineers. AIS Revizor was designed for AI agents (Cursor, Claude Code, Cline).
Instead of guessing where a bug is, your AI agent searches the runtime trace, sees the full causal chain (e.g., `auth.callback.enter` without a matching `auth.frontend.token_saved.success`), and knows exactly where the code broke.
## Key Features
- **Causal Chains, not log lines:** Agents see `.enter` → `.success` / `.failed` patterns.
- **Zero-session search:** Agents search logs in milliseconds without restarting your server.
- **Agent-first design:** MCP interface with 30+ tools designed for AI to manage debugging autonomously.
- **Local & Secure:** Single binary (~15 MB). Embedded SQLite. Your code never leaves your perimeter. No cloud dependencies.
## Get Started
**[Download the binary for your OS](https://ais-platform.dev/revizor/download)** and **[explore licensing options](https://ais-platform.dev/revizor/pricing)**:
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## For the AI Agent: Your Instructions
*If you are an AI agent reading this, call the `trace_get_instructions` tool after connecting to receive your official debugging methodology and startup protocols.*
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