Get AI search volume and trends for keywords to understand visibility in ChatGPT and other LLMs.
MIT
138,168 tools. Last updated 2026-05-20 05:54
"A system for task management and integration with AI editors using multiple LLMs" matching MCP tools:
- Scaffold a complete feature integration for mobile-web APIs, generating hook, component, and types files with integration instructions.MIT
- 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
- Embed product mockup editors into websites and apps for customization features using iframe, SDK, or API integration methods.MIT
- Query multiple LLMs to determine if a brand is mentioned in their answers, with per-model citation output.MIT
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- Flicense-qualityCmaintenanceEnables integration with financial transaction data through REST APIs, PostgreSQL databases, and document storage systems. Demonstrates agentic AI capabilities by connecting to Alpha Vantage API and managing financial data through natural language interactions.Last updated
- Alicense-qualityCmaintenanceProvides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.Last updated64Apache 2.0
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- 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
- Compare AI models on a task using cost, quality, and latency data to select the most suitable model.
- Start complex AI tasks with advanced reasoning and analysis using state-of-the-art language models. Execute single or batch tasks and retrieve results via task IDs.MIT
- Generate text using Google Gemini AI models with configurable parameters like temperature, model selection, and system instructions for tailored responses.MIT
- Generate agent instructions for tasks using a hierarchical template resolution system that prioritizes task-specific, task list, project, and fallback templates.MIT
- Retrieve all projects from the task management system, including default Chore and Repeatable projects, to view and organize hierarchical tasks.MIT
- Retrieve detailed information about a specific task using its taskId for inspection and management within the MCP task management system.MIT
- Analyze and compare multiple items across dimensions like quality, accuracy, and style using AI, with configurable criteria and output formats.MIT
- Schedule time-based reminders using system time to track tasks and activities. Set reminders with specific times and messages for improved task management and follow-up.MIT
- Generate tasks in AI Note by specifying content, due date, importance, and category. Enables task management through natural language integration with Claude Desktop.MIT
- Break down complex tasks into manageable subtasks with categories to organize work and track progress in your task management system.MIT
- Summarize multiple web pages using AI. Provide a list of URLs and optional instructions for tailored summaries.MIT