GODKILLER MCP — Antigravity phase/evidence orchestrator with code, scan, and browser facades
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# ⚡ GODKILLER MCP SERVER (`godkiller-mcp`) > **Supreme Autonomous Engineering Engine & Empirical Quality Control Gate** [](https://python.org) [](LICENSE) [](tests/) [](https://github.com/taurus42119-stack/godkiller-mcp) [](https://pypi.org/project/godkiller-mcp/) ⭐ **If this project upgrades your AI agent workflow, please drop a Star on GitHub to support ongoing development!** 💬 **Contact for Custom AI Agent Elevation & Enterprise MCP Integration:** - 📘 **Facebook:** [Pronphorm Pakdee](https://www.facebook.com/search/top?q=Pronphorm%20Pakdee) - 📸 **Instagram:** [@Kayvin.th](https://www.instagram.com/Kayvin.th) --- ## Origin (why this exists) **GODKILLER MCP was designed for Google Antigravity**: agents that refuse to split work into phases and skip planning. The core job is to force `/plan` → phase gates → evidence → disk verify → claim_done. Extra engines (code intel, browser, scan, memory graph) grew around that kernel. Lab artifacts from the isolated arena live in [`benchmarks/arena_logs/`](benchmarks/arena_logs/). Peer comparison checklist vs Cursor MCPs (`jcodemunch`, `codebase-memory-mcp`, `chrome-devtools`) is in [`benchmarks/cursor_peers/`](benchmarks/cursor_peers/). --- ## ⚠️ Standard AI Agent Failure Modes & Solution Mechanics Standard LLM coding assistants frequently encounter critical failure modes during complex software engineering tasks: - ❌ **Deprecated API & Memory Drift:** Relies on outdated pre-trained memory and deprecated API signatures without live documentation lookup. - ❌ **Premature Execution Without Specs:** Mutates codebase without architec…
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