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524,183 tools. Updated 2026-09-06 14:24

"A tool or assistant to explore and debug my codebase" matching MCP tools:

  • Search an indexed codebase with natural language to locate functions, classes, and patterns. Understand dependencies and explore existing systems.
    Apache 2.0
  • Determine which Home Assistant entities are exposed to voice assistants. List all exposures, filter by assistant, or check a specific entity's settings for Alexa, Google Assistant, and Assist.
    MIT
  • Retrieve Home Assistant core logs from the Supervisor journal with filters for level, integration, pattern, and time range. Fallback to error log. Enable DEBUG via set_log_level before reading debug logs.
    MIT
  • Get a comprehensive overview of your Home Assistant system, including entity counts, domain breakdowns, and area distribution. Use this tool as the first step to explore an unfamiliar Home Assistant instance.
    MIT

Matching MCP Servers

  • A
    license
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    quality
    B
    maintenance
    Enables AI agents to query a beads store for issues, notes, comments, and memories, returning full verbatim content and relationship neighborhoods under an output budget.
    MIT

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  • Check the connection to Godot's debug adapter and report whether the game is running, paused, or finished. Use first when any debug tool behaves unexpectedly.
    Apache 2.0
  • Investigate a question or codebase through a squad researcher to gather evidence before any plan or change. Returns a framed dispatch request with coordinator persona and routing.
    MIT
  • Retrieve the full conversation transcript from a Claude Code session, including user and assistant messages with timestamps and tool call names. Optionally include assistant thinking blocks.
    MIT
  • List all available tool categories (server groups) with tool counts to explore what's available before searching.
    MIT
  • List available data sources in the MongoDB Assistant knowledge base to explore options or obtain search filter parameters for search-knowledge queries.
    Apache 2.0
  • Ask natural language questions about your codebase and get instant answers by automatically routing to the right analysis tool.
    MIT
  • Execute a composable kit workflow — combining modes like explore, deep dive, or code review — to analyze a codebase within a token budget.
    AGPL 3.0
  • Improves developer prompts by adding quality requirements, codebase context, and tool recommendations to help AI coding assistants generate better structured code.
    MIT
  • Adjust logging verbosity for any Home Assistant integration to debug issues or reduce noise. Specify integration name and desired level: debug, info, warning, or error. Optionally target custom components for HACS integrations.
    MIT
  • Break down user stories into actionable tasks by generating a prompt that directs Claude Code to analyze your codebase and create tasks based on real project context.
    MIT
  • Analyzes an existing codebase using parallel explore agents to provide structural insights for GSD project planning.
    MIT
  • Initiate a LoopLens debug session to track tool events and identify retry loops in agentic coding workflows, enabling structured analysis of iteration patterns.
    MIT
  • Retrieve complete conversation history from a specific session, including user messages, assistant responses, and tool usage details.
    MIT