@modelcontextprotocol/server-filesystem
Enables Claude to read, navigate, and analyze codebases directly, reducing manual file sharing and context-switching overhead while maintaining audit trails …
MCP server for filesystem access
- Ask Claude to read and analyze source code files from your project directory.
- Generate documentation by having Claude examine multiple files across your codebase.
- Automate finding unused imports or functions by scanning your entire repository.
Enables Claude to read, navigate, and analyze codebases directly, reducing manual file sharing and context-switching overhead while maintaining audit trails of AI interactions with production code.
Engineering teams integrating Claude into development workflows for code review, refactoring, and documentation tasks.
https://www.npmjs.com/package/@modelcontextprotocol/server-f...
By GitHub Actions
How to Get It
npx @modelcontextprotocol/server-filesystem
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Read and analyze source code files from my project directory
Trust Signals Auto-scanned
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 88,110 GitHub stars; contributors unknown; last commit 2d ago; license SEE LICENSE IN LICENSE.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 88,110 GitHub stars; contributors unknown; last commit 2d ago; license SEE LICENSE IN LICENSE.