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166,954 tools. Last updated 2026-06-02 20:00

"Understanding and Working with a Huge Codebase" matching MCP tools:

  • Visualize the semantic topology of your codebase to identify which directories concentrate domain concepts, including entity counts and density, for a quick understanding of codebase layout before detailed analysis.
    MIT
  • Identify the most-imported files in your codebase to find critical dependencies and plan refactoring priorities.
    MIT
  • Locate all concurrency primitives in a Go codebase, including goroutines, channel operations, and sync primitives, to audit race safety or prepare for concurrency refactoring.
    MIT
  • Batch create JIRA worklogs from a structured array. Provide issue keys, hours, dates, and optional descriptions. Use with get_schedule to prevent logging on non-working days.
    ISC
  • Analyze codebases and design user interfaces using Google Gemini's visual understanding and detective capabilities for rapid prototyping and comprehensive analysis.
    MIT
  • Get detailed issue data including labels, assignees, bounties, and linked PRs by providing owner, repository name, and issue number. Essential for understanding issue context before working on it.
    MIT

Matching MCP Servers

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    Provides comprehensive codebase analysis including project structure evaluation, cross-language duplicate detection, microservices validation, and configuration optimization with AI-powered pattern learning that generates actionable improvement reports.
    Last updated
    MIT
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    An open-source AI-powered development assistant that connects Claude Desktop to your codebase via MCP, enabling semantic code search, AI-assisted editing, and persistent memory without additional subscriptions.
    Last updated
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Matching MCP Connectors

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  • Summarize dependency analysis with counts of circular dependencies, hotspots, unused files, islands, and minimum dependents. Use for quick codebase health checks.
    MIT
  • Regenerate codebase documentation to reflect recent code changes, or generate initial docs if missing.
    Business Source 1.1
  • Show working tree status with staged and unstaged changes, opening a UI for GitKraken clients when supported.
    MIT
  • List files and directories in a specified path, with [FILE] and [DIR] prefixes to distinguish types, for understanding directory structure and locating files.
    Apache 2.0
  • Retrieve auto-generated codebase documentation including architecture overview, code conventions, dependency maps, and onboarding guides to understand project structure and setup.
    Business Source 1.1
  • Understand any codebase quickly by gathering its structure, file distribution, frameworks, entry points, and configuration files.
    MIT
  • Create a worklog entry in JIRA to log work time on an issue. Specify hours, start date, optional end date, billable status, and description. Verify working days with get_schedule beforehand.
    ISC
  • Find symbols across your codebase with partial name matching. Quickly locate functions, variables, or types in any supported language.
    Business Source 1.1
  • Switch to a specified branch or restore working tree files. Requires branch name and working directory.
    MIT
  • Create a new business entity for a customer in Paddle to manage business information when working with companies rather than individuals.
    Apache 2.0
  • Retrieve inferred design rules from your codebase patterns, such as spacing, color, typography, naming, and components. Filter by category to uncover implicit conventions.
    MIT
  • Record codebase changes with entity path, type, diff, and reasoning. Stores events locally for later querying, preserving change intent.
    MIT