Instantly generate verified CLAUDE.md, .cursor/rules, and AGENTS.md context files. Stop agent amnesia with local-first SQLite memory (.gitcontextgen/memory.db), sub-millisecond MCP tool lookups, and executive Excel exports.
github.com to gitcontextgen.com to generate AI context...Busy agency team? Skip manual configuration.
Book our premium $299 Done-For-You (DFY) Team Onboarding Pack.
Watch a full walkthrough — from pasting a GitHub URL to viewing the complete architectural blueprint, vulnerability audit, and AI-ready context export.
AST Engine v1.6.0 · 42 Files Scanned
CLAUDE.md & .mdc
✓ Synchronizedmemory.db
✓ SQLite MCP Active0 Exposed Secrets
✓ 7 Classes ShieldedClick to load HD demo · Zero page delay
Inspect your indexed codebase map, monitor token billing savings via local L2 cache, and preview automated client delivery summaries.
From raw GitHub repository to synchronized Cursor and Claude Code configurations in three high-speed stages.
Deterministic AST Topology
Scans repository AST syntax trees, package manifests, and route entry points. Automatically detects tech stacks and shields private secrets with deterministic regex guardrails.
92% Token Consumption Reduction
Persists computed module graphs, schemas, and diagrams into an L2 local disk cache. Sub-agents query cached indices instead of repeatedly burning 125,000+ raw tokens per prompt.
Zero Context Drift Across Team
Pushes synchronized .cursor/rules/*.mdc (alwaysApply: true), CLAUDE.md, and local stdio MCP servers directly into your active workspace with multi-agent file locks.
No manual JSON editing. Automatically detect your project structure, lock down rule formats, and register stdio MCP servers in seconds.
When you ask Claude, Cursor, or Replit to build features without a context file, AI gets confused, invents fake files, and breaks your project.
// AI Prompt Result Without Context:
"Error: Cannot find module '@/lib/db' or file conventions."
CLAUDE.md, .cursorrules, or replit.md files.// GitContextGen Generated Context:
✓ Full Tree Indexed • Rules Active • 0 Hallucinations
AI coding agents (Claude Code, Cursor Composer, Windsurf) operate with zero cross-session memory—burning tens of thousands of tokens re-grepping your repo and colliding on parallel edits. GitContextGen adds an on-device, sub-millisecond SQLite brain and atomic PID write-locking.
Every new prompt or terminal session starts from a blank slate. Your agent has forgotten all past architecture decisions and team conventions.
// Terminal Session: No local memory index
> Claude Code: Searching repository tree...
> Scanned 1,420 files. 48,210 tokens added to context.
> Error: File collision with Cursor Agent on auth.ts
Powered by a zero-cost local SQLite engine (.gitcontextgen/memory.db) with sub-millisecond MCP tool lookups and atomic PID locking.
.gitcontextgen/memory.db records decisions, schemas, and lessons permanently.gitcontextgen_recall (< 1ms).// Terminal Session: Connected to GitContextGen MCP
> gitcontextgen_recall("auth_middleware")
> [✓ 0.8ms] 2 memories loaded. Mutex lock acquired (PID: 4912).
> Tokens burned: 0. Context window preserved: 99.4%.
Inspect how GitContextGen delivers zero-latency memory to Claude Code, Cursor, and Windsurf via stdio JSON-RPC 2.0.
{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "gitcontextgen_recall",
"arguments": {
"query": "jwt_refresh_mechanism",
"tags": ["auth", "security"],
"limit": 2
}
},
"id": 104
}{
"content": [{
"type": "text",
"text": "VERIFIED ARCHITECTURE RULE:\nUse HTTP-only secure cookie \"app_session\" with 15-minute rotation. Never persist tokens in localStorage. (Session: ses_891, Commit: 4fa90c)"
}],
"isError": false
}You don't need to write code to build software with AI. GitContextGen gives AI tools like Cursor, Replit, or Claude Code the exact map they need to build new features without breaking your existing app.
What happens when you ask AI to code directly
If you hire a brilliant carpenter but don't show them where your electrical wires or plumbing live, they will accidentally break walls or drill into pipes.
When your AI receives your app blueprint
GitContextGen scans your project link in 10 seconds and creates a clear 1-file blueprint. You drop it into your AI tool, and your AI instantly understands your whole project.
See how GitContextGen compares to the alternatives developers are using today — and why most of them leave your AI agent flying blind.
No signup required. Paste a repo URL and see the difference.
Static prompt injection burns tokens and triggers hallucinations. The GitContextGen MCP Server replaces heavy context dumps with precision, on-demand codebase queries.
Stuffing 3,000+ lines of CLAUDE.md or .cursorrules into every turn eats 70% of your LLM context window before you write a single line of prompt.
Your AI agent calls gitcontextgen_analyze or gitcontextgen_get_rules over stdio only when it needs specific framework constraints or manifests.
Eliminate repetitive system prompt overhead across thousands of daily AI assistant iterations.
AI agents query Mermaid and Kroki topology diagrams dynamically to understand component boundaries before writing code.
Launch instantly with npx -y @gitcontextgen/core mcp without downloading binaries or configuring API keys.
Instead of dumping raw code into a prompt, GitContextGen builds a structured Repository Knowledge Model backed by real file evidence.
Extracts exact package scripts (npm dev, pnpm test, make build) directly from package.json, Makefile, and CI workflows.
Maps file trees, route handlers, utility functions, and component boundaries across /src, /app, and /lib.
Detects secrets, .env files, generated build artifacts, and protected paths so AI agents never edit prohibited files.
Compiles the canonical knowledge model into AGENTS.md, CLAUDE.md, .cursorrules, Copilot instructions, and replit.md.
No coding experience needed. Generate instant context files for your AI tool in seconds.
Step 1: Paste GitHub Repository URL
› Analyzing file tree, routes, and dependencies...
Step 2: AI Synthesizes Project Rules & Conventions
# Project Instructions for Claude
- Enforce Next.js App Router conventions
- Preserve clean TypeScript types across /lib
This is what GitContextGen generates from a single GitHub URL. Detailed architecture, verified commands, safety boundaries, and coding standards — not vague summaries.
# CLAUDE.md — CVGenie AI Resume Generator
> **Generated by**: GitContextGen Knowledge Engine
> **Repository**: `cvgenie/cvgenie-app`
> **Format**: Claude Code / Claude Sonnet
---
## Project Identity
CVGenie is a microSaaS AI-powered resume and cover letter generator.
It uses AI Engine to produce ATS-optimized resumes from uploaded
PDFs and pasted job descriptions. React 18 + Express + FastAPI hybrid.
## Verified Execution Commands
```yaml
Dev Server: npm run dev # Starts Vite dev server (port 5173)
API Server: npx tsx server/ # Express API on port 5000
Production Build: npm run build # Vite production bundle
Type Check: npx tsc --noEmit # Full TypeScript validation
```
Evidence: package.json#scripts (verified)
## Architecture & Module Boundaries
```
client/
├── src/
│ ├── components/ # UI components (shadcn/ui + Radix primitives)
│ │ ├── app-shell/ # SaaS dashboard shell with sidebar nav
│ │ ├── ui/ # Button, Card, Dialog, Toast, etc.
│ │ └── landing/ # Marketing page components
│ ├── hooks/ # Custom React hooks (useIntersectionLoader)
│ ├── pages/ # Route pages (Dashboard, Generator, ATS Score)
│ ├── content/blog/ # Static blog posts data (zero DB cost)
│ └── lib/ # Utility functions and API client
server/
├── routes.ts # AI Engine calls, /api/generate endpoint
├── documentGenerator.ts # PDF/DOCX/TXT conversion with watermarks
├── documentParser.ts # Resume text extraction (PDF/DOCX/TXT)
└── database/
└── cache.ts # TTL-based in-memory cache for DB optimization
```
## Protected Files — DO NOT MODIFY
| File | Purpose |
|:-----|:--------|
| server/routes.ts | AI Engine integration, ATS formatting, generation endpoint |
| server/documentGenerator.ts | PDF/DOCX/TXT output with free-tier watermarks |
| server/documentParser.ts | Resume parsing via pdfplumber (Python) |
These files handle core AI generation. Any change requires full
end-to-end testing before deployment.
## Safety & Edit Boundaries
- NEVER expose `.env` values (ANTHROPIC_API_KEY, CLERK_SECRET_KEY)
- NEVER modify files in `dist/`, `node_modules/`, or Python `__pycache__/`
- NEVER change AI model names or prompt templates unless explicitly asked
- NEVER remove free-tier watermark logic from documentGenerator.ts
## Coding Standards
- React functional components with TypeScript interfaces for all props
- Forms: React Hook Form + Zod schema validation
- State: TanStack React Query with staleTime: 30000 to reduce refetches
- Auth: Clerk (@clerk/clerk-react for frontend, @clerk/express for API)
- Routing: Wouter (lightweight, client-side)
- Styling: Tailwind CSS + shadcn/ui component librarySample output for cvgenie/cvgenie-app. Your repository produces a unique specification based on its actual file structure and dependencies.
You don't need to read or edit the file yourself. Click each section below to see what it tells your AI tool.
## Run & Operate - npm run dev — starts your local server on port 3000 - npm run build — checks for errors before saving
Without this, AI tools guess how to start your app and run broken commands that freeze your computer screen. This section forces the AI to use the exact right command.
From local SQLite MCP memory to publication-grade Excel handoffs and AI-powered intelligence with cost guardrails—GitContextGen gives your team total AI context control.
Stops AI Agent Amnesia with an on-device SQLite database (.gitcontextgen/memory.db). AI coding agents query past architectural decisions and schemas in under 1 millisecond.
Protocol Transport:Native stdio (Offline)
Cloud Egress Fee:$0 Infrastructure
Multi-Agent Locking:Atomic PID Mutex
gitcontextgen_recall tool callsDeep repository understanding powered by a hybrid AI reasoning engine. A 5-tier defense matrix protects your budget with deterministic AST token pruning, 8k ceilings, and clear engine indicators.
Engine Status Pill:[⚡ AI Enhanced] vs [🛠️ Local]
Input Pre-Filtering:0 Raw Code Sent (AST Only)
Max Output Token Cap:8,000 Hard Limit
Deliver publication-grade .xlsx workbooks to clients and executives. Generated with exceljs with KPI stat cards, auto-filtering, and security audits.
Sheet 1: Executive SummaryHealth & Readiness KPIs
Sheet 2: File InventoryAST Manifest & Line Counts
Sheet 3: Security & LicencesOSV Matrix + SPDX
Unified cross-tool compatibility ensures every developer machine and AI co-pilot adheres to the exact same source of truth. Synchronizes rules across Claude Code, Cursor, and Copilot.
Anthropic Claude Code:CLAUDE.md Specification
Cursor Composer & IDE:.cursor/rules/*.mdc
GitHub Copilot:AGENTS.md / Instructions
GitContextGen adapts to your workflow — no matter your technical background or team size.
Managing 5+ client repositories
Common Problems
How GitContextGen Helps
Generate verified context files for every client repo in seconds. New team members and AI agents instantly understand architecture, commands, and boundaries — cutting onboarding from days to minutes.
"Vibe coders" & indie hackers
Common Problems
How GitContextGen Helps
Paste your repo URL, get a production-grade specification instantly. Your AI assistant writes correct code on the first try — no more debugging hallucinated imports or deprecated APIs.
Building with AI — no coding background
Common Problems
How GitContextGen Helps
You don't need to understand the technical details. Paste your GitHub link, select your AI tool, and download the context file. Drop it in your project — your AI immediately "gets" your codebase.
No signup required. Results in under 30 seconds.
Static CLAUDE.md and .cursorrules files quickly go out of date after refactors, dependency updates, or route additions.
Webhook Event: Push to main branch (Commit #a8f3b2)
- Build Command: npm run build (Deprecated)
+ Build Command: pnpm run build --filter=web (Updated via Push Event)
✓ Added route boundary rule: "Validate JSON body in /src/app/api/webhooks"
Inspects git diffs automatically on every commit.
Identifies outdated build commands or new route paths.
Opens a clean Pull Request for your team to merge.
GitContextGen compiles one shared Repository Knowledge Model into native instruction formats for all modern AI tools.
Generates structured specs with overview, commands, and code guidelines.
Official custom instructions adapter for repository-wide Copilot completions.
Strict prompt configuration enforcing project boundaries & framework rules.
Vendor-neutral open format for cross-agent repository readiness.
Configures runtime environment, build targets, and code execution instructions.
JSON context specification detailing indexing rules and prompt parameters.
Enforces WPCS, input sanitization, output escaping, nonces, $wpdb->prepare, and wp-cli execution blocks.
Add GitContextGen to your favorite AI developer tools in 30 seconds. Seamlessly supported across Claude Code, Cursor, Windsurf, and Antigravity.
Indexes local file tree, manifest dependencies, scripts, and runtime frameworks.
Generates zero-hallucination rules for Claude, Cursor, Copilot, or Universal standard.
Returns syntax-validated Mermaid graphs and direct Kroki SVG export links.
Parses local git commit logs and formats developer or marketing release notes.
~/.claude.jsonTransport: stdioEnables Claude Code terminal agent to dynamically index directory trees and extract execution commands.
{
"mcpServers": {
"gitcontextgen": {
"command": "npx",
"args": ["-y", "@gitcontextgen/core", "mcp"]
}
}
}No mandatory installation. No complex configuration. Pure plain-text context files ready for Claude, Cursor, Replit, or Windsurf.
// Option A: Connect directly via MCP Server (Claude Code, Cursor, Windsurf)
$ npx -y @gitcontextgen/core mcp
// Option B: Web UI & Instant Markdown Exporter
✓ 1-Click AGENTS.md, CLAUDE.md, .cursorrules & Kroki Architecture Maps
Built from the ground up for strict privacy, read-only repository analysis, Google OSV.dev vulnerability detection, and zero lock-in.
Repository file trees and manifests are parsed strictly in-memory during edge execution. Code is never written to disk.
Your source code is never saved to a database or used to train public AI models. Only approved markdown outputs remain in your repo.
Automatic regex scanning strips API keys, credentials, .env tokens, and protected paths before generating context instructions.
Every parsed package is audited in real-time against Google’s open vulnerability database (OSV.dev) to establish hard safety boundaries.
Automatically detects open-source licenses (MIT, Apache-2.0, GPL-3.0, AGPL) and enforces strict copyright & distribution guardrails.
GitContextGen is read-only by default. Proposed context updates are submitted via Pull Requests for your team to review.
Zero token waste. Eliminate context debt with instant local MCP servers and unified AI rule orchestration.
Billed $72 annually (Save $36)
For solo developers and side-project builders wanting clean, structured context files on demand.
Billed $228 annually (Save $60)
For professional developers using Cursor Composer, Claude Code CLI, and Windsurf on production apps.
Billed $708 annually (Save $240)
For software agencies managing dozens of client projects, microservices, and WordPress architectures.
Our core engineering team will hop on a 1-on-1 implementation call with your developers to audit your major repositories, optimize your custom context rules, and configure your local MCP servers for maximum token efficiency.
Processed securely via Dodo Payments. If your AI coding assistant (Cursor, Claude, or Copilot) doesn't produce measurably cleaner code on your first project audit, cancel anytime with a single click.
Clear, detailed answers about AI context files, AGENTS.md, context drift, and code security.
A context file gives AI assistants (like Claude, Cursor, or Copilot) clear instructions about your project structure, build commands, and coding conventions. It acts as a specification manual so AI agents write working code for your specific app without hallucinating or breaking files.