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534,221 tools. Updated 2026-09-08 13:40

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

  • Orient a coding agent on a repository by retrieving a JSON project overview with absolute root, git root, and counts of files, symbols, dependencies, and languages. Use this first to understand codebase size.
    MIT
  • Get files and symbols changed since a git ref as JSON, including uncommitted working-tree changes, to focus review or testing on relevant code.
    MIT
  • Run Oxlint and TypeScript diagnostics on specific files, using content-hash caching to skip unchanged files. Use for incremental checks after editing, avoiding full project scans.
    MIT
  • Compare any two files and get a unified diff with configurable context and whitespace handling. Works outside git for arbitrary files.
    MIT
  • Retrieve git status for all CrossPad repos in a single call: branch, HEAD, dirty files, and submodule sync state. Replace multiple git status commands with one unified overview.
    MIT
  • Create a named project in the central store and initialize an initial git commit. Safe to rerun on existing names; existing claims remain untouched.
    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.
    4
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  • Generate project source files in memory for agent inspection. Review planned source, docs, migrations, and config before local project creation.
    MIT
  • Create a runnable project from a preset by writing files to disk, then optionally initialize git, install dependencies, and create a GitHub repository.
    MIT
  • 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
  • Create a new Coalesce project on Snowflake, Databricks, Starburst, or Spark. Specify name and target platform; optionally add git integration.
    MIT
  • Generate a repository map to analyze codebases by listing function prototypes and variables, prioritizing relevant files based on conversation context and ranking.
    MIT
  • Scan git repository history to detect exposed secrets in commit messages, author information, branches, and deleted files for security auditing.
    MIT
  • Builds a compact, relevance-ranked JSON context package for a coding task. Give a natural-language task to retrieve relevant files, symbols, and snippets for an LLM, with optional git changes.
    MIT
  • Search vectorized files in a group using semantic queries to find relevant content based on meaning rather than keywords.
    MIT