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280,309 tools. Last updated 2026-07-10 00:15

"A tool for finding relevant files in a Git project based on questions" matching MCP tools:

  • Generate project source files in memory for agent inspection. Review planned source, docs, migrations, and config before local project creation.
    MIT
  • List files and directories in a specified path, marking each as file or directory. Understand directory structure and find files within permitted paths.
    Apache 2.0
  • List all files and directories in a specified path, clearly distinguishing between files and directories with [FILE] and [DIR] prefixes. Helps understand directory structure and find specific files within allowed directories.
    Sleepycat
  • Search documents using semantic understanding to find relevant content based on meaning rather than keywords. Understands natural language queries and returns ranked passages with source information.
    MIT
  • Open a project for editing on a specific Git branch or view a revision read-only. Use this before making changes to tables or rules.
    LGPL 3.0
  • Generate a repository map to analyze codebases by listing function prototypes and variables, prioritizing relevant files based on conversation context and ranking.
    MIT

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    Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.
    Last updated
    4

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  • Scan git repository history to detect exposed secrets in commit messages, author information, branches, and deleted files for security auditing.
    MIT
  • Search and retrieve relevant memories from Mnemexa to answer questions about user preferences, past decisions, project context, and prior conversations.
    ISC
  • Creates a new project from a template (blog, landing, docs, ecommerce, saas, i18n, mobile) with optional sample content and locale overrides, auto-committing changes to git.
    MIT
  • Verifies that code-pattern memories remain relevant by comparing them with current git commit history, detecting staleness before acting on stored knowledge.
    MIT
  • Scan a project folder to detect work done since last scan, including git commits, modified files, todo completions, and new documents. Updates scan summary and refreshes CLAUDE.md.
    AGPL 3.0
  • Identify files that historically co-change with a given file using git history. Helps determine which files to modify during cross-cutting changes.
    Apache 2.0
  • Search vectorized files in a group using semantic queries to find relevant content based on meaning rather than keywords.
    MIT
  • Assess a multi-file changeset against a git baseline to detect complexity shifts and project regressions. Returns a before/after verdict for each file and the overall project.
    BSD 3-Clause
  • Import multiple historical project phases at once to backfill data for existing git projects, ensuring idempotent updates.
    MIT