Filesys
Enables LLMs to securely read and list files from a designated directory on a local machine.
About
Filesys is a Python-based Model Context Protocol (MCP) server designed to securely expose file contents and metadata to Language Learning Models (LLMs). Leveraging FastMCP, it offers endpoints for listing files within a specified directory and reading file contents, ensuring safe access by validating paths and preventing directory traversal. It includes an integration with Anthropic's Claude AI, facilitating natural language interaction with the file system through Claude Tools, making it ideal for AI agents needing access to local files in a controlled environment.
Key Features
- Validates file paths to prevent directory traversal attacks
- Securely exposes file contents and metadata to LLMs
- Provides endpoints for listing and reading files
- Integrates with Anthropic's Claude AI for natural language interaction
- 1 GitHub stars
- Utilizes FastMCP for efficient resource handling
Use Cases
- Integrating file system access into natural language conversations with LLMs
- Enabling AI agents to access and process local files
- Building secure interfaces for LLMs to interact with local resources
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