- Implemented new API methods in CrawlabClient for managing LLM providers and AutoProbes.
- Added prompts for setting up AI-powered web scraping with AutoProbe and configuring LLM providers.
- Created a new module for AI tools, integrating various functionalities including listing, creating, updating, and deleting LLM providers and AutoProbes.
- Enhanced error handling and response formatting for better user experience.
- Implemented database tools for CRUD operations and connection testing.
- Added git tools for managing repositories including create, update, delete, clone, and pull functionalities.
- Enhanced node tools with update, enable, and disable functionalities.
- Updated spider tools to include new parameters for database integration, git repository association, and task execution modes.
- Improved schedule tools with additional parameters for task execution modes and priority settings.
- Introduced system overview tool for comprehensive system health and status reporting.
- Updated task filtering to include new task statuses.
- Added main server file (index.ts) to initialize the Crawlab MCP Server.
- Created prompts for spider analysis, task debugging, spider setup, and system monitoring.
- Developed tools for managing spiders, tasks, nodes, schedules, and system health.
- Implemented a mock client for testing server functionality.
- Added versioning support with version.ts.
- Created a test script (test-server.mjs) to validate tool configurations and server responses.
- Included build validation script (validate-build.mjs) to ensure proper setup and functionality.
- Configured TypeScript settings with tsconfig.json for better development experience.
