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133,413 tools. Last updated 2026-05-25 14:15

"AI Thought Processes and Code-Related Topics" matching MCP tools:

  • Retrieve all currently active thought chains to monitor ongoing cognitive processes and reasoning workflows within the AI system.
    MIT
  • Analyze topic sentiment and trending direction to identify key developments and related topics for market intelligence.
    AGPL 3.0
  • Add a thought to an existing chain in Brain-MCP's memory system to manage cognitive processes and reasoning workflows.
    MIT

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  • Fetch Google Trends data including interest over time, geographic breakdowns, and related topics/queries. Supports multiple queries, custom dates, and categories for demand forecasting and seasonality analysis.
    MIT
  • Retrieve AI-detected trending topics in tech, science, patents, or funding events. Specify category and time window to get trends with relevance weights.
    MIT
  • Process AntV-related queries by identifying, parsing, and structuring user requirements for visualization tasks. Extracts topics, detects intent, and prepares structured data for precise solutions.
    MIT
  • Retrieve news articles for specific trending topics using Google News topic IDs, with options to filter by language and country for targeted content access.
    MIT
  • Synthesize answers from multiple AI backends to reach consensus on complex questions. Ideal for architectural decisions, controversial topics, or multi-perspective validation.
    Apache 2.0
  • Analyze code-database dependencies to assess impacts before implementing changes. Use this tool to identify which code relies on specific database objects or how database changes affect code. Essential for validating AI-suggested modifications or SQL code updates.
    Mozilla Public 2.0
  • Analyze code to detect long functions, vague names, and deep nesting, helping improve code quality and identify AI-generated slop.
    MIT
  • Break down complex coding problems into structured, self-auditing thought steps. Enables branching, revising, and backtracking to explore solutions systematically before finalizing a response.
    MIT