
Matrix Pattern MCP Server
Enables advanced pattern management and synchronization for development workflows using a two-dimensional matrix structure. Organizes patterns by development phases and feature domains with intelligent horizontal/vertical synchronization capabilities.
README
Matrix Pattern MCP Server
Advanced pattern management and synchronization MCP server for Claude applications. The Matrix Pattern System provides a structured approach to organizing and coordinating complex development patterns across multiple dimensions.
🚀 Quick Start
-
Clone and setup:
git clone <repository-url> cd matrix-mcp-server ./setup.sh
-
Install dependencies:
npm install
-
Start the server:
npm start
-
Add to Claude configuration:
# Copy the provided configuration cp claude_mcp_config.json ~/.claude/mcp_servers.json
📊 Matrix Pattern System Overview
The Matrix Pattern System organizes development patterns in a two-dimensional structure:
- Horizontal (Rows): Different pattern types (requirements, architecture, implementation, etc.)
- Vertical (Columns): Feature domains (authentication, data-processing, ui-components, etc.)
Key Concepts
- Forward-Only Constraint: Cells can only be created once, ensuring pattern integrity
- Horizontal Synchronization: Share patterns across feature domains
- Vertical Synchronization: Cascade updates through development phases
- Metadata Tracking: Comprehensive lifecycle and relationship tracking
🛠️ Available Tools (7 Total)
1. matrix_create_cell
- Create Pattern Cells
Create new cells in the matrix pattern system.
// Example: Create authentication requirements cell
{
"cellId": {
"row": "requirements",
"column": "authentication"
},
"data": {
"content": "# Authentication Requirements\n\n## Functional Requirements\n- User login with email/password\n- Multi-factor authentication support\n- Session management\n\n## Non-Functional Requirements\n- Security: OAuth 2.0 compliance\n- Performance: < 2s login time\n- Availability: 99.9% uptime",
"metadata": {
"priority": "high",
"horizontal_type": "requirements"
}
}
}
2. matrix_read_cell
- Read Pattern Cells
Retrieve cell content and metadata.
// Example: Read specific cell
{
"cellId": {
"row": "architecture",
"column": "authentication"
}
}
3. matrix_sync_horizontal
- Horizontal Pattern Sync
Synchronize patterns across feature domains within the same development phase.
// Example: Sync requirements from authentication to authorization
{
"sourceRow": "requirements",
"targetRow": "requirements",
"columns": ["authentication", "authorization"]
}
4. matrix_sync_vertical
- Vertical Pattern Sync
Cascade patterns from one development phase to another.
// Example: Sync authentication from requirements to architecture
{
"column": "authentication",
"fromRow": "requirements",
"toRow": "architecture"
}
5. matrix_list_verticals
- List Column Cells
Show all cells in a vertical column (feature domain).
// Example: List all authentication-related cells
{
"column": "authentication"
}
6. matrix_list_horizontals
- List Row Cells
Show all cells in a horizontal row (development phase).
// Example: List all requirement cells
{
"row": "requirements"
}
7. matrix_read_horizontal_instructions
- Get Sync Instructions
Retrieve synchronization instructions and metadata for horizontal patterns.
// Example: Get requirements sync instructions
{
"row": "requirements"
}
📁 Project Structure
matrix-mcp-server/
├── src/ # Source code
│ ├── index.js # Main MCP server
│ ├── validator.js # Cell content validator
│ ├── matrix-fs.js # File system utilities
│ ├── sync-engine.js # Synchronization engine
│ └── test/ # Test files
├── .matrix_pattern/ # Matrix Pattern system files
│ ├── matrix/ # Pattern storage (*.json files)
│ ├── metadata/ # Pattern metadata
│ │ ├── horizontals/ # Horizontal pattern metadata
│ │ └── sync-reports/ # Synchronization reports
│ │ ├── horizontal/ # Horizontal sync reports
│ │ └── vertical/ # Vertical sync reports
│ └── config.json # System configuration
├── claude_mcp_config.json # Claude MCP configuration
├── package.json # Project configuration
├── setup.sh # Setup script
└── README.md # This file
⚙️ Configuration
Claude MCP Configuration
The claude_mcp_config.json
file contains the complete MCP server configuration for Claude integration.
System Configuration
The Matrix Pattern system is configured via .matrix_pattern/config.json
:
{
"matrix_pattern": {
"version": "1.0.0",
"initialized": true,
"config": {
"max_patterns": 1000,
"auto_cleanup": true,
"sync": {
"horizontal": {
"conflict_resolution": "manual"
},
"vertical": {
"auto_cascade": false
}
}
}
}
}
🎯 Usage Examples
Complete Development Flow
// 1. Create requirements cell
matrix_create_cell({
cellId: { row: "requirements", column: "user-management" },
data: {
content: "# User Management Requirements\n- User registration\n- Profile management\n- Account deactivation",
metadata: { horizontal_type: "requirements" }
}
})
// 2. Sync to architecture phase
matrix_sync_vertical({
column: "user-management",
fromRow: "requirements",
toRow: "architecture"
})
// 3. List all user-management cells
matrix_list_verticals({
column: "user-management"
})
// 4. Sync architecture across related features
matrix_sync_horizontal({
sourceRow: "architecture",
targetRow: "architecture",
columns: ["user-management", "authentication"]
})
Content Validation
import { CellValidator } from './src/validator.js';
const validator = new CellValidator();
const result = validator.validateCell(cellData, {
horizontal_type: 'requirements'
});
console.log(validator.getValidationSummary(result));
🧪 Available Scripts
npm start
- Start the MCP servernpm run dev
- Start with file watchingnpm test
- Run comprehensive test suitenpm run build
- Build and validate projectnpm run setup
- Run setup scriptnpm run init-matrix
- Initialize pattern managementnpm run validate
- Validate pattern integritynpm run lint
- Code lintingnpm run format
- Code formatting
🏗️ Core Features
1. Advanced Pattern Management
- Cell-based Storage: Each pattern stored as individual JSON cell
- Metadata Tracking: Comprehensive lifecycle and relationship tracking
- Version Control: Pattern version management and history
- Schema Validation: Content structure validation with CellValidator
2. Multi-Dimensional Synchronization
- Horizontal Sync: Share patterns across feature domains
- Vertical Sync: Cascade patterns through development phases
- Selective Sync: Choose specific columns/cells to synchronize
- Conflict Detection: Intelligent conflict resolution mechanisms
3. Content Validation System
- Format Validation: Markdown structure and formatting checks
- Section Requirements: Validate required sections per horizontal type
- Quality Assessment: Content quality scoring (0-100)
- Custom Validators: Extensible validation system
4. Intelligent Reporting
- Sync Reports: Detailed synchronization operation reports
- Quality Metrics: Content quality and completeness tracking
- Relationship Mapping: Track dependencies and relationships
- Audit Trail: Complete operation history
🔧 Installation & Setup
Prerequisites
- Node.js >= 18.0.0
- npm package manager
- Claude CLI (for MCP integration)
Step-by-Step Installation
-
Clone repository:
git clone <repository-url> cd matrix-mcp-server
-
Run setup script:
chmod +x setup.sh ./setup.sh
-
Install dependencies:
npm install
-
Validate installation:
npm test npm run validate
-
Configure Claude MCP:
# Copy configuration to Claude cp claude_mcp_config.json ~/.claude/mcp_servers.json # Or merge with existing configuration cat claude_mcp_config.json >> ~/.claude/mcp_servers.json
-
Start the server:
npm start
🚨 Troubleshooting Guide
Common Issues
1. Server Connection Failed
Symptoms: Server not responding, connection timeout Solutions:
- Check Node.js version:
node --version
(must be >= 18.0.0) - Verify server is running:
npm start
- Check working directory path in claude_mcp_config.json
- Ensure dependencies installed:
npm install
2. Cell Creation Validation Errors
Symptoms: Cell creation fails, validation error messages Solutions:
- Verify cell data format matches schema
- Ensure cellId has both row and column properties
- Check content is non-empty string
- Use CellValidator to validate content before creation
3. Synchronization Issues
Symptoms: Sync operations fail, forward-only constraint errors Solutions:
- Verify source cells exist before syncing
- Check target cells don't exist (forward-only constraint)
- Review sync reports in
.matrix_pattern/metadata/sync-reports/
- Ensure proper file permissions on
.matrix_pattern/
directory
4. File Permission Errors
Symptoms: Cannot read/write matrix files Solutions:
- Check directory permissions:
ls -la .matrix_pattern/
- Fix permissions:
chmod -R 755 .matrix_pattern/
- Re-run setup:
./setup.sh
Debugging Tools
Log Files
- Server logs:
.matrix_pattern/logs/server.log
- Sync reports:
.matrix_pattern/metadata/sync-reports/
- Error logs: Check console output during operations
Diagnostic Commands
# Check system status
npm run validate
# Run comprehensive tests
npm test
# Check Node.js version
node --version
# Verify MCP configuration
cat claude_mcp_config.json | jq .
# Check directory structure
ls -la .matrix_pattern/
🔍 Advanced Usage
Custom Validation Rules
import { CellValidator } from './src/validator.js';
const customValidator = CellValidator.createValidator({
strict_mode: true,
custom_validators: [
(cellData) => {
if (cellData.content.includes('TODO')) {
return {
errors: [{
type: 'content_quality',
message: 'TODO items not allowed in production cells',
severity: 'high'
}]
};
}
return { valid: true };
}
]
});
Batch Operations
// Validate multiple cells
const batchResult = validator.validateBatch([cell1, cell2, cell3]);
console.log(`${batchResult.passed}/${batchResult.total} cells passed validation`);
Pattern Templates
Create reusable pattern templates for consistent cell structure:
const requirementTemplate = {
content: `# {FEATURE_NAME} Requirements
## Functional Requirements
- TODO: Add functional requirements
## Non-Functional Requirements
- Performance: TODO: Add performance requirements
- Security: TODO: Add security requirements
- Scalability: TODO: Add scalability requirements
## Acceptance Criteria
- TODO: Add acceptance criteria`,
metadata: {
horizontal_type: "requirements",
template_version: "1.0.0"
}
};
📈 Performance Considerations
- File System: Uses efficient JSON file storage with fs-extra
- Caching: Implements intelligent caching for frequently accessed cells
- Batch Operations: Supports batch validation and operations
- Memory Management: Optimized for large pattern collections
- Concurrent Access: Thread-safe operations with proper locking
🤝 Contributing
- Fork the repository
- Create feature branch:
git checkout -b feature/amazing-feature
- Commit changes:
git commit -m 'Add amazing feature'
- Push to branch:
git push origin feature/amazing-feature
- Open pull request
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
🆘 Support
- Documentation: Check this README and inline code comments
- Issues: Create GitHub issues for bugs and feature requests
- Community: Join discussions in the repository
- Professional Support: Contact for enterprise support options
Matrix Pattern System - Organize, synchronize, and scale your development patterns with confidence.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.