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Pre-computed codebase intelligence for Claude Code and MCP-compatible AI coding assistants.","maintainers":[{"name":"faizhamizan","email":"hmznfaiz1094@gmail.com"}],"readme":"# openkrak-mcp\r\n\r\nMCP server for developer tooling. Performs static analysis on a software repository via the Dorchester engine and delivers a structured context brief to the language model before any file is accessed.\r\n\r\n**Supported:** OpenCode (TUI + Desktop). Claude Code, Codex, and Cursor support in development.\r\n\r\n---\r\n\r\n## How It Works\r\n\r\nOpenKrak runs the **Dorchester engine** — a six-step static analysis pipeline — on your repository before the language model executes any task.\r\n\r\n```\r\nRepository\r\n    │\r\n    ▼\r\nDeepStrike          — Full static analysis: every import, export, coupling resolved\r\n    │\r\n    ▼\r\nHotspot Registry    — Files ranked by complexity, change frequency, cognitive load\r\n    │\r\n    ▼\r\nCorrelation Engine  — Dependency chains traced across the entire codebase\r\n    │\r\n    ▼\r\nBlast Radius        — Ripple effects of any change mapped before commit\r\n    │\r\n    ▼\r\nExecution Gate      — Analysis validated and normalized\r\n    │\r\n    ▼\r\nMahadata            — Structured brief delivered to the language model\r\n```\r\n\r\nAll analysis runs locally. Your codebase does not leave your machine.\r\n\r\n---\r\n\r\n## Install\r\n\r\n```bash\r\nnpm install -g openkrak-mcp\r\n```\r\n\r\nRequires Node.js ≥ 18.\r\n\r\n---\r\n\r\n## Setup\r\n\r\nOpenKrak works with both **OpenCode TUI** and **OpenCode Desktop**. The config file and setup steps are identical for both.\r\n\r\n### Config file location\r\n\r\n| Platform | Path |\r\n|----------|------|\r\n| Windows | `C:\\Users\\<username>\\.config\\opencode\\opencode.jsonc` |\r\n| macOS | `~/.config/opencode/opencode.jsonc` |\r\n| Linux | `~/.config/opencode/opencode.jsonc` |\r\n\r\n### Step 1 — Add OpenKrak to your config\r\n\r\nOpen the config file and add the `mcp` block:\r\n\r\n```jsonc\r\n{\r\n  \"$schema\": \"https://opencode.ai/config.json\",\r\n  \"mcp\": {\r\n    \"openkrak\": {\r\n      \"type\": \"local\",\r\n      \"enabled\": true,\r\n      \"command\": [\"npx\", \"openkrak-mcp\"]\r\n    }\r\n  }\r\n}\r\n```\r\n\r\n### Step 2 — Restart OpenCode\r\n\r\nClose and reopen OpenCode (TUI or Desktop). Confirm **openkrak Connected** appears in the MCP panel.\r\n\r\n> **OpenCode Desktop:** MCP status is shown in the bottom status bar. Green dot = connected.  \r\n> **OpenCode TUI:** MCP status is shown in the top-right panel.\r\n\r\n### Step 3 — Run your first analysis\r\n\r\nOpen any repository in OpenCode and send a message:\r\n\r\n```\r\nanalyze_repo on /absolute/path/to/your/repo\r\n```\r\n\r\nOr just start a coding task normally — OpenKrak runs automatically before the model reads any file.\r\n\r\n---\r\n\r\n## Tools\r\n\r\n| Tool | When to use |\r\n|------|-------------|\r\n| `analyze_repo` | Full pipeline. Call before any coding task on a new repo. Returns dependency graph, hotspot rankings, blast radius, and threat matrix. |\r\n| `get_mahadata` | Compact repo brief — structure, entry points, constraints, risk score. Use when you need repo-wide context without a full re-analysis. |\r\n| `get_hotspots` | Ranked list of high-risk files by complexity, coupling, and change frequency. Use before reviewing or refactoring. |\r\n| `blast_radius` | Impact map for a specific file. Which files, modules, and APIs are affected by a change. Use before modifying a critical file. |\r\n\r\n### Example prompts\r\n\r\n```\r\nanalyze_repo on /path/to/repo with objective \"refactor the auth module\"\r\n```\r\n```\r\nRun get_hotspots on /path/to/repo — which files should I avoid touching?\r\n```\r\n```\r\nblast_radius on /path/to/repo for file src/api/routes/user.ts\r\n```\r\n\r\n---\r\n\r\n## Enable / Disable\r\n\r\nSet `\"enabled\"` in your config and restart OpenCode:\r\n\r\n```jsonc\r\n\"enabled\": true   // on\r\n\"enabled\": false  // off\r\n```\r\n\r\n---\r\n\r\n## Pro License\r\n\r\nFree tier is active by default — no account required.\r\n\r\n| Plan | Price | Queries |\r\n|------|-------|---------|\r\n| Free | $0 | 15 per 24-hour rolling window |\r\n| Pro Monthly | $8 / month | Unlimited |\r\n| Pro Annual | $67.20 / year | Unlimited |\r\n\r\nTo activate Pro, add your key to the config:\r\n\r\n```jsonc\r\n{\r\n  \"$schema\": \"https://opencode.ai/config.json\",\r\n  \"mcp\": {\r\n    \"openkrak\": {\r\n      \"type\": \"local\",\r\n      \"enabled\": true,\r\n      \"command\": [\"npx\", \"openkrak-mcp\"],\r\n      \"env\": {\r\n        \"OPENKRAK_KEY\": \"your-license-key\"\r\n      }\r\n    }\r\n  }\r\n}\r\n```\r\n\r\nLicense keys: [openkrak-web.vercel.app](https://openkrak-web.vercel.app). Delivered via email after purchase. No subscription, no auto-renewal.\r\n\r\n---\r\n\r\n## Notes\r\n\r\n- Static analysis only. No AI inference in the pipeline.\r\n- Anonymous usage telemetry is collected (query count, tool name, error events). No source code or file contents are transmitted.\r\n- License validation requires a network call to the license server on each tool invocation.\r\n\r\n---\r\n\r\n## Repository\r\n\r\n[github.com/FrnzJulianBergmann/openkrak](https://github.com/FrnzJulianBergmann/openkrak)\r\n\r\n---\r\n\r\nMIT License — © 2026 Faiz Hamizan / Challanger Absolute Advance\r\n","readmeFilename":"README.md"}