Exposes local file system operations to AI agents with configurable path permissions and sandboxed access controls. Agents can read, write, and search files within explicitly allowed directories. Designed as a reference implementation demonstrating MCP resource patterns and secure file access.
Use cases
- Coding agent reads source files to understand project structure before editing
- Documentation agent scans a codebase and generates API documentation drafts
- Refactoring agent applies batch changes across multiple files in a directory
- Data agent processes and transforms local CSV or JSON datasets
- Backup agent copies important configuration files to a designated folder
Key features
- Claude Desktop
- Codex
- OpenAI
Frequently Asked Questions
- How do I restrict which directories the Filesystem MCP can access?
- Configure allowed directories in your MCP client settings. Claude Desktop uses a JSON config where you specify mount points and their permission levels (read-only or read-write).
- Can the Filesystem MCP modify sensitive system files?
- No, by default it is sandboxed to user-specified directories. You must explicitly grant access to specific paths. Avoid running with broad permissions like '/' for security reasons.
- What happens if a file operation fails due to permissions?
- The MCP returns an error object with details. Agents can handle these gracefully by reporting the issue to the user rather than crashing or silently failing.
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