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A server for scheduling tasks autonomously with a large language model MCP tools

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

45,149 tools. Last updated 2025-12-19 04:21
  • Identify overlapping events or tasks within a specified date range to detect scheduling conflicts on the TickTick MCP Server. Customize conflict detection with duration thresholds and optional task inclusion.
    MIT License
  • Extract webpage content as Markdown formatted text, tailored for large language models. Supports custom CSS selectors, link inclusion, and length limits via Concurrent Browser MCP.
  • Optimize and fine-tune large language models using Unsloth enhancements for faster training and reduced memory usage. Specify model, dataset, and parameters like LoRA rank, batch size, and learning rate for efficient customization.
  • Modify the scheduled publish date and language for a Storyblok story using its space and scheduling IDs. Ensures timely and accurate content delivery across platforms.
    Python
    MIT License
  • Change AI model tiers at runtime to experiment with different models without server restart. Updates persist across sessions for consistent model selection.

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