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305,006 tools. Last updated 2026-07-22 22:12

"A system for task management and integration with AI editors using multiple LLMs" matching MCP tools:

  • Execute AI models for generation and analysis. Use get_model_schema to find parameters; choose to wait for results or receive a task token for async monitoring.
    MIT
  • Save an estimator or pipeline handle to a specified path using sktime MLflow integration for model persistence and management.
    BSD 3-Clause
  • Scaffold a complete feature integration for mobile-web APIs, generating hook, component, and types files with integration instructions.
    MIT

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  • Retrieve complete job listings with full task details from the JPI scheduling system. Use for comprehensive job analysis and management.
    MIT
  • Initialize and configure the task trellis system for operation in local or remote mode. Must be called before any other task management operations can be performed.
    GPL 3.0
  • Automatically decompose complex tasks into multi-step pipelines across multiple LLMs, routing each step to the optimal model. Supports templates for common patterns or auto-decomposition.
    MIT
  • Read multiline text content from SAP GUI text editors including notes, comments, and document texts. Returns full text and line count, with optional line limit for large editors.
    MIT
  • Generate a deployment-ready AI agent system prompt with eight structured sections including identity, capabilities, guidelines, and constraints for any professional role.
    MIT
  • Retrieve organization identity statistics to analyze management type counts, HR master integration, and domain lists for identity distribution insights.
    Apache 2.0
  • Consult AI models via OpenRouter for tasks like coding, analysis, or questions. Auto-selects the best model or specify multiple models for sequential consultation with conversation history support.
    MIT
  • Chat with local LLMs using conversation history, system messages, tool calling, and adjustable generation settings.
    AGPL 3.0
  • Generates an AI-suggested reply for a social media conversation based on context. Customize tone and language with optional system prompts.
    Apache 2.0
  • Create a new AI agent with a defined model and system prompt to specify its behavior and capabilities under supervisor management.
    MIT