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.
Search for specialized agents by keyword or name to find professional roles for project tasks and team compositions. Supports language preferences for efficient results.
Retrieve all available conversational AI agents from the ElevenLabs MCP Server to identify and select appropriate agents for text-to-speech and audio processing tasks.
Retrieve all available specialized agents by category or language preference. Simplify agent selection for project role assignments and streamline professional task delegation.
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.
Retrieve download statistics for top agents from Claude Agents Power. Input a limit to display results, aiding in informed decision-making for team composition and task efficiency.
Enables intelligent handling of large files through smart chunking, search with regex support, line navigation, and streaming capabilities without loading entire files into memory.
A comprehensive and efficient Model Context Protocol server for task management that works with Claude, Cursor, and other MCP clients, providing powerful search, filtering, and organization capabilities across multiple file formats.
Runs a language server and provides tools for communicating with it. Language servers excel at tasks that LLMs often struggle with, such as precisely understanding types, understanding relationships, and providing accurate symbol references.