Analyze repository structure and quality with a deep audit. Examine code structure, language mix, and quality signals for local or remote repositories.
MIT
304,878 tools. Last updated 2026-07-21 17:03
"a-tool-for-exploring-local-code-repositories-and-identifying-relevant-files" matching MCP tools:
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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
- Generate or modify code files with smart diffs. Provide file path and detailed prompt to create or edit files using context for accurate code generation.MIT
- Read local text files with injection detection and sanitization. Rejects binary files and flagged content to prevent prompt injection.AGPL 3.0
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- Retrieve a live directory tree of indexed files to orient yourself and locate relevant subdirectories before beginning a targeted code search.MIT
- Access and read files from local Aztec repositories by specifying a relative path. Enables retrieval of documentation, source code, and examples for development or reference.MIT
- Retrieve enabled code repositories for your organization to manage development projects and access available codebases.MIT
- Search code by natural language descriptions using combined semantic and structural analysis. Returns relevant files, signatures, and dependencies across repositories.MIT
- List all indexed codebases or filter by name to discover available repositories. View metadata like build system, language, file count, and entity count.MIT
- Copy files from your local system to a Modal sandbox environment for uploading inputs, transferring configurations, or deploying code to isolated cloud-based Python environments.MIT
- Find GitHub repositories by keyword or topic to locate projects, libraries, or frameworks. Returns repository details like names, descriptions, and URLs for discovery.MIT
- Analyzes Python repositories to report test-to-code ratio, match test files to source modules, count assertions per test, and identify untested source files without prior indexing.MIT
- Write files to the local filesystem with specified content, overwriting existing files when necessary for codebase modifications.MIT
- Retrieve complete documentation content for specific routes, including code examples, detailed explanations, and API references, after identifying relevant documentation through search.MIT
- Upload local files to a remote server via SFTP. Transfers files from local machine to remote SSH server.MIT
- Download an Egnyte file's real binary to local disk. Returns the local file path for code access, supporting large files via streaming.Apache 2.0
- Analyzes code snippets or GitHub repositories to detect testing frameworks, test functions, and coverage presence without executing code.MIT
- Fetch and analyze pull requests authored by a GitHub user within specified repositories and time periods to assess code contributions, track activity trends, and gather performance metrics.ISC