TODO.md

MCP Background Job Server - Implementation TODO

Phase 1: Project Setup ✅ COMPLETED

• Initialize Python project structure

  • Initialize project (uv init)
  • Initialize virtual environment (uv venv)
  • Add & configure dev dependencies (pytest, ruff, etc.) (uv add)
  • Set up src/mcp_background_job package structure

• Set up development environment

  • Sync dependencies (uv sync)
  • Configure pytest.ini for test discovery
  • Set up logging configuration

Phase 2: Core Data Models ✅ COMPLETED

• Define Pydantic models

  • JobStatus enum
  • BackgroundJob model
  • JobSummary model
  • ProcessOutput model
  • All tool input/output models

• Create configuration model

  • BackgroundJobConfig with environment defaults
  • Configuration loading and validation

Phase 3: Process Management Layer ✅ COMPLETED

• Implement ProcessWrapper class

  • Process creation with proper I/O handling
  • Stdout/stderr buffering with ring buffer
  • Process status monitoring
  • Input sending to stdin
  • Process termination handling

• Add output management

  • Tail functionality for last N lines
  • Full output retrieval
  • Buffer size management and cleanup

Phase 4: Job Manager Service ✅ COMPLETED

• Implement JobManager class

  • Job registry with in-memory storage
  • UUID generation for job IDs
  • Job lifecycle management

• Core job operations

  • execute_command method
  • get_job_status method
  • list_jobs method
  • get_job_output method
  • tail_job_output method

• Advanced job operations

  • kill_job method
  • interact_with_job method
  • cleanup_completed_jobs method

Phase 5: MCP Tool Implementation ✅ COMPLETED

• Set up FastMCP server

  • Server initialization and configuration
  • Error handling with ToolError

• Implement read-only tools

  • list tool - show all jobs
  • status tool - get job status
  • output tool - get full job output
  • tail tool - get recent output lines

• Implement interactive tools

  • execute tool - start new background job
  • interact tool - send input to job
  • kill tool - terminate job

Phase 6: Error Handling & Validation

• Custom exception classes

  • JobNotFoundError
  • JobAlreadyTerminatedError
  • ProcessExecutionError

• Input validation and sanitization

  • Command validation
  • Job ID format validation
  • Parameter bounds checking

• Error response formatting

  • Consistent error messages
  • Proper HTTP status codes for MCP errors

Phase 7: Security & Resource Management

• Command security

  • Command allowlist/blocklist implementation
  • Shell injection prevention
  • Path traversal protection

• Resource limits

  • Maximum concurrent jobs enforcement
  • Memory usage monitoring
  • Process timeout handling

• Cleanup mechanisms

  • Automatic cleanup of old jobs
  • Resource leak prevention
  • Graceful shutdown handling

Phase 8: Testing Infrastructure

• Unit test setup

  • Test fixtures for jobs and processes
  • Mock subprocess for isolated testing
  • Test utilities and helpers

• Core functionality tests

  • JobManager unit tests
  • ProcessWrapper unit tests
  • Data model validation tests

• MCP tool integration tests

  • Tool execution tests
  • Error handling tests
  • Input/output validation tests

Phase 9: Integration Testing

• End-to-end workflow tests

  • Execute → status → output → kill workflow
  • Execute → interact → output workflow
  • Concurrent job handling tests

• Long-running process tests

  • Jobs that run for extended periods
  • Memory usage over time
  • Output buffering under load

• Edge case testing

  • Invalid job IDs
  • Already terminated processes
  • Resource exhaustion scenarios

Phase 10: Documentation & Examples

• Code documentation

  • Docstrings for all public methods
  • Type hints validation
  • API documentation generation

• Usage examples

  • Update README with usage examples
  • Integration examples for common use cases
  • Configuration examples

Phase 11: Performance & Monitoring

• Performance optimization

  • Output buffer efficiency
  • Process monitoring overhead
  • Memory usage optimization

• Logging and monitoring

  • Structured logging implementation
  • Performance metrics collection
  • Health check endpoints

Phase 12: Production Readiness

• Configuration management

  • Environment variable handling
  • Configuration file support
  • Default value validation

• Deployment preparation

  • Transport configuration (stdio/HTTP)
  • CORS handling for HTTP transport
  • Production logging setup

• Final testing and validation

  • Load testing with multiple clients
  • Security audit of command execution
  • Memory leak testing