This document shows a complete example of the automatic bootstrap process when a new repository is set up with the MCP Local RAG system.
User copies bootstrap package to repository root, then types:
Please bootstrap from MCP_BOOTSTRAP_PACKAGE.mdClaude's Action: Automatically detects repository structure and populates the root context.
# Claude automatically runs these commands
ls -la # Find top-level directories
find mcp-docs -name "*.pdf" | head -5 # Check for documentation
cat README.md # Read project description
cat build.gradle # Detect Java/Gradle
grep -r "@SpringBootApplication" # Find Spring BootI'm bootstrapping the context system for your repository.
Phase 1: Creating root context...
Auto-detected:
- Repository: payment-processor
- Purpose: (from README.md) "Payment processing service for handling transactions"
- Main modules: api/, core/, processors/, shared/
- Technologies: Java 17, Gradle, Spring Boot, PostgreSQL, Kafka
- Documentation: Found 3 PDFs in mcp-docs/
Writing CLAUDE_CONTEXT.md...
Root context created (152 lines)Generated File: CLAUDE_CONTEXT.md
# Payment Processor - Claude Context
## MCP Documentation System
> **Full MCP Rules**: See `mcp-docs/claude-code/MCP_STANDARD_RULES.md` for complete documentation access workflow
>
> This repository uses MCP Local RAG for semantic search over payment specifications.
### Repository-Specific MCP Configuration
- **`{{DOC_TYPE}}`**: Payment specifications
- **`{{DOCS_DIR}}`**: `mcp-docs/`
- **`{{SETUP_SCRIPT}}`**: `mcp-docs/claude-code/setup.sh`
**Available Documentation**:
- Payment specs: `mcp-docs/` (3 PDF files found)
---
## Purpose
Payment processing service for handling transactions with support for multiple payment networks.
## Repository Structure
### Main Modules
- **api/**: REST API endpoints for payment requests
- **core/**: Core payment processing logic
- **processors/**: Network-specific payment processors
- **shared/**: Shared utilities and models
[... rest of auto-generated content ...]Claude's Action: Automatically identifies major modules and creates contexts for each.
Phase 2: Creating module contexts...
Identified modules:
1. api/ (REST API layer)
2. core/ (Payment processing core)
3. processors/ (Network processors)
4. shared/ (Shared utilities)
Creating contexts for top 3 modules...# Claude runs discovery commands
cd api
find . -type d -maxdepth 2 # Package structure
find . -name "*.java" | head -10 # Find key classes
grep -r "@RestController" # Find controllers
cat src/main/resources/application.yml # Check configOutput:
api/CLAUDE_CONTEXT.md created (87 lines)
- Detected: Spring REST controllers, 3 main endpoints
- Key classes: PaymentController, AuthController, WebhookController
- Configuration: Port 8080, security config detectedcd core
find . -name "*Service.java" # Service layer
find . -name "*Repository.java" # Data layer
grep -r "public class.*Processor" # Core processorsOutput:
core/CLAUDE_CONTEXT.md created (124 lines)
- Detected: Service layer with 5 services
- Processing flow: Request → Validation → Authorization → Settlement
- Data models: Payment, Transaction, AuthResultcd processors
ls -la # Submodules
find . -name "*.java" | wc -l # Class count
grep -r "extends.*Processor" # Processor hierarchyOutput:
processors/CLAUDE_CONTEXT.md created (156 lines)
- Detected: Network-specific processors
- Processing flow: Route → Format → Submit → Parse response
- External documentation: Links to payment specs in mcp-docs/I've created contexts for api/, core/, and processors/ (3 modules).
Should I continue with shared/ module, or are these three sufficient for now?
You can always add more module contexts later using the template.User responds: "These three are sufficient"
Claude's Output:
Context System Bootstrap Complete
Root Context: CLAUDE_CONTEXT.md (152 lines)
Module Contexts Created:
- api/CLAUDE_CONTEXT.md (87 lines)
- core/CLAUDE_CONTEXT.md (124 lines)
- processors/CLAUDE_CONTEXT.md (156 lines)
MCP Documentation System: Configured
- Found 3 PDFs in mcp-docs/
- MCP setup script available: mcp-docs/claude-code/setup.sh
- Run setup and restart Claude Code to enable documentation queries
Git Status: All files staged for commit
- mcp-docs/claude-code/ (7 files)
- CLAUDE_CONTEXT.md
- api/CLAUDE_CONTEXT.md
- core/CLAUDE_CONTEXT.md
- processors/CLAUDE_CONTEXT.md
Next Steps:
1. Review generated contexts for accuracy
2. Run MCP setup: cd mcp-docs && ./claude-code/setup.sh
3. Restart Claude Code
4. Review staged changes: git status
5. Commit when ready: git commit -m "Add Claude Code context system"
Total time: ~3 minutesUser ran one command: "Please bootstrap from MCP_BOOTSTRAP_PACKAGE.md"
Claude automatically:
- Analyzed repository structure
- Detected technologies and build tools
- Read README for purpose
- Found documentation in mcp-docs/
- Created root CLAUDE_CONTEXT.md with all details
- Identified 4 major modules
- Created 3 module-specific contexts (asked about 4th)
- Staged all created files in git
- Generated actionable next steps
Result: Complete context system in ~3 minutes with minimal user interaction
Benefits:
- No manual template filling
- No guessing about structure
- Documentation automatically linked
- Cross-module references included
- Files automatically staged in git
- Ready to use immediately
cd mcp-docs
./claude-code/setup.shSetup script:
- Installs Node.js (if needed)
- Installs mcp-local-rag package
- Configures ~/.claude.json
- Verifies PDF files
- Provides ingestion instructions
MCP Local RAG is now active. Documentation queries work automatically:
User: "What are the field definitions for payment authorization messages?"
Claude:
1. Checks if MCP is configured
2. Queries documentation: mcp__local-rag__query_documents("authorization message fields")
3. Returns results from payment specsEfficiency:
- Bootstrap: 3 minutes (vs 30+ minutes manual)
- One user command (vs 10+ manual steps)
- 3-5 contexts created automatically
Accuracy:
- Auto-detection from actual code structure
- No placeholder mistakes
- Consistent formatting
Maintainability:
- Templates stay generic
- Easy to propagate updates
- Self-documenting system
User Experience:
- Minimal interaction required
- Clear progress updates
- Actionable next steps