thecleanupcrew/mcp-server
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The MCP Help Request Server is a Model Context Protocol server designed to capture detailed context about development issues and facilitate human assistance through structured API-based help requests.
request_help
Captures comprehensive context about a development issue and creates a support session.
get_help_session
Retrieves the context data for a specific help session.
MCP Help Request Server
A Model Context Protocol (MCP) server that provides tools for capturing comprehensive context about development issues and facilitating human assistance through structured API-based help requests.
Overview
This server provides tools that allow AI assistants to capture detailed context about coding issues, workspace state, and user conversations, then facilitate human support through automated session management and API integration.
Features
- Comprehensive Context Capture: Automatically captures workspace state, file contents, error diagnostics, and conversation history
- Structured Help Requests: Uses Zod schemas to ensure consistent and complete help request data
- Session Management: Creates unique session IDs and logs for tracking help requests
- API-Based Integration: Sends help requests to external APIs for human assistance coordination
- Ticket-Based Integration: Creates structured support tickets through API integration
- Modular Architecture: Clean separation of concerns with organized directory structure
Architecture
index.js # Main entry point
src/
āāā api/ # API integration layer
ā āāā index.js # API exports
ā āāā helpRequestAPI.js # Help request API client for ticket creation
āāā config/ # Configuration files
ā āāā logger.js # Winston logger configuration
āāā constants/ # Application constants
ā āāā index.js # Shared constants and configuration values
āāā schemas/ # Zod validation schemas
ā āāā helpRequest.js # Help request schema definitions
āāā tools/ # MCP tool implementations
ā āāā index.js # Tool exports
ā āāā helpRequest.js # Main help request tool
ā āāā getHelpSession.js # Session retrieval tool
āāā utils/ # Utility functions
ā āāā workspace.js # Workspace analysis utilities
āāā server.js # Main server setup and configuration
logs/ # Log files and session data
sessions/ # Session storage
consent-records/ # Privacy consent records
Installation
- Clone the repository
- Install dependencies:
npm install
Usage
Starting the Server
npm run start
The server runs using the FastMCP framework with stdio transport.
Available Tools
1. request_help
Captures comprehensive context about a development issue and creates a support session.
Parameters:
session
(required): Session information with unique ID and timestampconversation
(required): Recent conversation messages leading to the help requestissue
(required): Description of the problem that needs assistanceworkspace
(optional): Information about the user's workspace/projectdiagnostics
(optional): Error messages, warnings, or logssolutionsAttempted
(optional): Previous attempts to solve the issueenvironment
(optional): System environment detailsdependencies
(optional): Project dependenciesversionControl
(optional): Git/version control informationperformance
(optional): Performance metrics
Returns:
- Success message with ticket ID and status
- Session ID for reference
- Priority level assigned to ticket
- Context summary
- Next steps for the user
2. get_help_session
Retrieves the context data for a specific help session.
Parameters:
sessionId
(required): The session ID to retrieve
Returns:
- Session data in JSON format
- Success/failure status
Configuration
Environment Variables
API_ENDPOINT
: Ticket API endpoint (default: http://localhost:3000/api/tickets)API_SERVICE_KEY
: Service key for API authentication (default: your_mcp_service_key_here)PORT
: Server port (default: 8080)
Logger Configuration
The logger is configured in src/config/logger.js
and creates:
- Error logs:
logs/error.log
- Combined logs:
logs/combined.log
- Console output for development
Constants
Application constants are defined in src/constants/index.js
:
- Server configuration
- API configuration options
- File processing limits
- Directory ignore patterns
- Log levels
Development
Project Structure
The codebase follows a modular architecture:
- API: External API integration for ticket creation
- Config: Centralized configuration management
- Schemas: Zod validation schemas for type safety
- Tools: MCP tool implementations
- Utils: Reusable utility functions
- Constants: Shared application constants
API Configuration
The server integrates with a ticket API system. Configure the API endpoint and service key:
API_ENDPOINT=http://localhost:3000/api/tickets
API_SERVICE_KEY=your_service_key_here
Adding New Tools
- Create a new tool file in
src/tools/
- Export the tool from
src/tools/index.js
- Add the tool to the server in
src/server.js
Schema Validation
All tool parameters are validated using Zod schemas defined in src/schemas/
. This ensures:
- Type safety
- Consistent data structure
- Clear documentation of expected inputs
Dependencies
- fastmcp: MCP server framework
- winston: Logging
- fs-extra: Enhanced file system operations
- uuid: UUID generation
- glob: File pattern matching
- dotenv: Environment variable management
Logging
The server uses Winston for structured logging:
- All help requests are logged with session IDs
- Error conditions are captured with stack traces
- Session data is stored in individual JSON files
- Console output for development monitoring
Session Management
Each help request creates:
- Unique session ID (UUID)
- Timestamped session log file
- Comprehensive context capture
- API response with ticket ID and status
Error Handling
The server includes comprehensive error handling:
- Graceful degradation when workspace access fails
- Detailed error logging with context
- User-friendly error messages
- Session recovery capabilities
- API failure handling with fallback responses
Privacy and Consent
The server includes built-in privacy protection:
- User consent collection for data sharing
- Consent record storage
- Privacy-aware data handling
License
ISC License
Contributing
- Follow the existing code structure
- Add appropriate error handling
- Include logging for debugging
- Update documentation for new features
- Ensure schema validation for new parameters
- Test API integration with proper authentication