MCP ContentEngineering
Enables direct access to raw Markdown content from files or directories without processing. Perfect for providing AI models with business rules, documentation, or knowledge bases exactly as written.
README
MCP ContentEngineering - Simplified
A simplified Model Context Protocol (MCP) server for raw Markdown content access. This server provides a single powerful tool for accessing raw Markdown files or combining multiple files from directories without any processing or parsing.
🚀 Quick Start
Prerequisites
- Node.js 18+ and npm
- Markdown files or directories containing
.mdfiles - MCP-compatible client (like Claude Desktop, Cursor IDE, or any MCP client)
Installation & Configuration
Option 1: Using npx from GitHub (Recommended)
No installation needed! Just configure your MCP client:
For Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"mcp-content-engineering": {
"command": "npx",
"args": ["-y", "hendrickcastro/MCPContentEngineering"],
"env": {
"CONTENT_SOURCE_TYPE": "file",
"CONTENT_SOURCE_PATH": "/path/to/your/business-rules.md"
}
}
}
}
For Cursor IDE:
{
"mcpServers": {
"mcp-content-engineering": {
"command": "npx",
"args": ["-y", "hendrickcastro/MCPContentEngineering"],
"env": {
"CONTENT_SOURCE_TYPE": "directory",
"CONTENT_SOURCE_PATH": "/path/to/your/docs/"
}
}
}
}
Option 2: Local Development Installation
- Clone and setup:
git clone https://github.com/hendrickcastro/MCPContentEngineering.git
cd MCPContentEngineering
npm install
npm run build
- Configure content source:
Create a
.envfile with your content configuration:
# For single file
CONTENT_SOURCE_TYPE=file
CONTENT_SOURCE_PATH=/docs/architecture-guide.md
# For directory with multiple .md files
CONTENT_SOURCE_TYPE=directory
CONTENT_SOURCE_PATH=/docs/knowledge-base/
- Configure MCP client with local path:
{
"mcpServers": {
"mcp-content-engineering": {
"command": "node",
"args": ["path/to/MCPContentEngineering/dist/server.js"]
}
}
}
🛠️ Available Tool
MCPContentEngineering provides 1 specialized tool for Markdown content access:
🔄 Raw Content Access - content_get_raw
Get raw Markdown content without any processing, parsing, or indexing. Perfect for accessing business rules, documentation, or knowledge bases exactly as they are written.
Features:
- ✅ Single File Mode: Returns exact file content
- ✅ Directory Mode: Combines ALL
.mdfiles with clear separators - ✅ Recursive Search: Finds
.mdfiles in subdirectories - ✅ No Processing: Content returned exactly as written
- ✅ Metadata Included: File size, modification date, source info
🔧 Configuration Types & Examples
MCPContentEngineering supports two content source types with simple configuration:
📋 Environment Variables
| Variable | Description | Values | Required |
|---|---|---|---|
CONTENT_SOURCE_TYPE |
Content source type | file | directory |
Yes |
CONTENT_SOURCE_PATH |
Path to file or directory | Absolute or relative path | Yes |
🔧 Configuration Examples
1. 📄 Single Business Rules File
Perfect for accessing a specific rules or documentation file:
{
"mcpServers": {
"mcp-content-engineering": {
"command": "npx",
"args": ["-y", "hendrickcastro/MCPContentEngineering"],
"env": {
"CONTENT_SOURCE_TYPE": "file",
"CONTENT_SOURCE_PATH": "/docs/business-rules.md"
}
}
}
}
2. 📁 Knowledge Base Directory
Combines all Markdown files from a documentation directory:
{
"mcpServers": {
"mcp-content-engineering": {
"command": "npx",
"args": ["-y", "hendrickcastro/MCPContentEngineering"],
"env": {
"CONTENT_SOURCE_TYPE": "directory",
"CONTENT_SOURCE_PATH": "/company/knowledge-base/"
}
}
}
}
3. 🏗️ Architecture Documentation
Access comprehensive architecture documentation:
{
"mcpServers": {
"mcp-content-engineering": {
"command": "npx",
"args": ["-y", "hendrickcastro/MCPContentEngineering"],
"env": {
"CONTENT_SOURCE_TYPE": "directory",
"CONTENT_SOURCE_PATH": "/docs/architecture/"
}
}
}
}
4. 📐 Project Standards & Patterns
Access coding standards and design patterns:
{
"mcpServers": {
"mcp-content-engineering": {
"command": "npx",
"args": ["-y", "hendrickcastro/MCPContentEngineering"],
"env": {
"CONTENT_SOURCE_TYPE": "file",
"CONTENT_SOURCE_PATH": "/standards/coding-patterns.md"
}
}
}
}
5. 🔄 Local Development Configuration
For local development and testing:
{
"mcpServers": {
"mcp-content-engineering": {
"command": "node",
"args": ["./MCPContentEngineering/dist/server.js"],
"env": {
"CONTENT_SOURCE_TYPE": "directory",
"CONTENT_SOURCE_PATH": "./docs"
}
}
}
}
📋 Usage Examples
Single File Access
// Returns exact content of business-rules.md
const result = await content_get_raw({});
console.log(result.data.content);
// Output: Raw markdown content exactly as written
// "# Business Rules\n\n## Validation Rules\n..."
console.log(result.data.source_info);
// Output: "Single file: /docs/business-rules.md"
console.log(result.data.total_files);
// Output: 1
Directory Combination
// Combines all .md files from directory
const result = await content_get_raw({});
console.log(result.data.content);
// Output: Combined content with separators:
/*
<!-- ========== ARCHIVO: rules.md ========== -->
# Business Rules
...
<!-- ========== ARCHIVO: patterns.md ========== -->
# Design Patterns
...
*/
console.log(result.data.source_info);
// Output: "Combined 2 .md files from: /docs/"
console.log(result.data.total_files);
// Output: 2
Response Structure
interface ContentResponse {
content: string; // Raw markdown content
source_info: string; // Source description
total_files: number; // Number of files processed
size_bytes: number; // Total content size
last_modified: string; // ISO timestamp of latest modification
}
💡 Use Cases
1. 📚 Enterprise Knowledge Base
Access company documentation, policies, and procedures:
{
"CONTENT_SOURCE_TYPE": "directory",
"CONTENT_SOURCE_PATH": "/company/knowledge-base/"
}
2. 🏗️ Architecture Documentation
Provide AI models with architectural guidelines and patterns:
{
"CONTENT_SOURCE_TYPE": "file",
"CONTENT_SOURCE_PATH": "/docs/architecture-layers-summary.md"
}
3. 📐 Coding Standards
Access development standards and best practices:
{
"CONTENT_SOURCE_TYPE": "directory",
"CONTENT_SOURCE_PATH": "/standards/"
}
4. 🔍 Business Rules Engine
Provide specific business rules for decision-making:
{
"CONTENT_SOURCE_TYPE": "file",
"CONTENT_SOURCE_PATH": "/rules/validation-rules.md"
}
5. 📖 Project Documentation
Combine all project documentation for comprehensive context:
{
"CONTENT_SOURCE_TYPE": "directory",
"CONTENT_SOURCE_PATH": "/project/docs/"
}
🚨 Troubleshooting Common Issues
File/Directory Not Found
- Issue:
File not foundorDirectory not found - Solution: Verify the path exists and is accessible
- Check: Use absolute paths for clarity
No .md Files Found
- Issue:
No .md files found in directory - Solution: Ensure directory contains
.mdfiles - Note: Searches recursively in subdirectories
Permission Errors
- Issue: Permission denied when accessing files
- Solution: Ensure read permissions on files/directories
- Check: File ownership and access rights
Configuration Issues
- Issue:
CONTENT_SOURCE_PATH not configured - Solution: Set both required environment variables
- Required:
CONTENT_SOURCE_TYPEandCONTENT_SOURCE_PATH
🧪 Testing
Run the comprehensive test suite:
npm test
The test suite includes:
- ✅ Unit Tests: Temporary file testing with various scenarios
- ✅ Real Tests: Actual architecture documentation testing
- ✅ Error Handling: Comprehensive error case coverage
- ✅ Content Validation: JSON serialization and data structure validation
Test Results:
Test Suites: 2 passed, 2 total
Tests: 11 passed, 11 total
🏗️ Architecture
Project Structure
MCPContentEngineering/
├── src/
│ ├── __tests__/ # Comprehensive test suite
│ │ ├── unit.test.ts # Unit tests with temp files
│ │ └── real.test.ts # Real file testing
│ ├── tools/ # Tool implementation
│ │ ├── contentOperations.ts # Single tool: content_get_raw
│ │ ├── types.ts # Type definitions
│ │ └── index.ts # Tool exports
│ ├── server.ts # MCP server setup
│ ├── tools.ts # Tool definitions and schemas
│ └── mcp-server.ts # Tool re-exports
├── dist/ # Compiled JavaScript output
└── package.json # Dependencies and scripts
Key Features
- ⚡ Zero Processing: Content returned exactly as written
- 📁 Recursive Search: Finds
.mdfiles in all subdirectories - 🔄 File Combination: Intelligent merging with clear separators
- 📊 Rich Metadata: Comprehensive file and content information
- 🛡️ Error Handling: Robust error handling and validation
- 🔧 Simple Configuration: Just two environment variables
📝 Important Notes
- File Types: Only processes
.md(Markdown) files - Content Preservation: Returns content exactly as written - no processing
- Directory Mode: Recursively finds ALL
.mdfiles in subdirectories - File Separators: Clear HTML comment separators when combining files
- Encoding: Assumes UTF-8 encoding for all files
- Security: Read-only operations only - no file modifications
🤝 Contributing
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Make your changes and add tests
- Ensure all tests pass (
npm test) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
🙏 Acknowledgments
- Built with the Model Context Protocol SDK
- Uses fs-extra for file operations
- Uses glob for file discovery
- Comprehensive testing with Jest
🏷️ Tags & Keywords
Content Management: markdown documentation knowledge-base content-access raw-content file-processing text-processing document-management
MCP & AI: model-context-protocol mcp-server mcp-tools ai-tools claude-desktop cursor-ide anthropic llm-integration ai-content intelligent-content
Technology: typescript nodejs npm-package cli-tool file-system markdown-reader content-sdk text-api file-api content-connector
Use Cases: business-rules architecture-docs coding-standards project-docs knowledge-management content-retrieval documentation-access standards-access rule-engine content-automation
🎯 MCPContentEngineering provides simple, direct access to raw Markdown content through the Model Context Protocol. Perfect for AI models that need access to business rules, documentation, or knowledge bases without any processing overhead! 🚀
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