MCP-Filesystem-Server: LLM Integration & Seamless Data Access

MCP-Filesystem-Server: The Go-powered MCP bridge linking LLMs to external data/tools effortlessly. Unlock smarter AI with seamless context integration.

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About MCP-Filesystem-Server

What is MCP-Filesystem-Server: LLM Integration & Seamless Data Access?

MCP-Filesystem-Server is a Go-based implementation of the Model Context Protocol (MCP) designed to bridge large language model (LLM) applications with external data sources and tools. Its core purpose is to enable secure, real-time access to file systems while allowing developers to leverage existing MCP frameworks. Built as a reference project inspired by implementations from mark3labs and metoro-io, it focuses on learning and extending MCP integration patterns.

How to use MCP-Filesystem-Server: LLM Integration & Seamless Data Access?

Install via Go command line:

go install github.com/qiangmzsx/mcp-filesystem-server

Configure access paths in claude_desktop_config.json:

{
  "mcpServers": {
    "filesystem": {
      "command": "mcp-filesystem-server",
      "args": ["/your/project/directory", "/additional/folder/path"]
    }
  }
}

Restart your LLM application to activate the new data pathways

MCP-Filesystem-Server Features

Key Features of MCP-Filesystem-Server: LLM Integration & Seamless Data Access?

Protocol Compliance: Full MCP standard implementation for interoperability
Path Whitelisting: Granular directory permissions to control data exposure
Lightweight Architecture: Minimal resource footprint while maintaining performance
Multi-Environment Support: Works across macOS, Linux, and Windows development setups
Extensible Design: Built for easy customization through Go's modular framework

Use cases of MCP-Filesystem-Server: LLM Integration & Seamless Data Access?

Common applications include:

Enabling LLMs to access project files during code generation tasks
Providing secure access to user documents for personalized AI services
Integrating with tool servers for document analysis workflows
Testing MCP protocol implementations in development environments
Creating sandboxed data environments for prototype development

MCP-Filesystem-Server FAQ

FAQ from MCP-Filesystem-Server: LLM Integration & Seamless Data Access?

Where should I place the configuration file?

The claude_desktop_config.json should reside in your application's working directory or user home folder depending on your setup

Can I add multiple directories?

Yes - simply list all permitted paths in the args array for granular access control

What happens if I don't specify a directory?

The server will default to allowing access to the current working directory only for safety

Is this compatible with other MCP tools?

Completely - follows MCP standards to work with any compliant LLM framework or tool server

Content

mcp-filesystem-server

A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools. The main purpose of implementing this project is to learn github.com/metoro-io/mcp-golang. There is already an mcp-filesystem-server in the github.com/mark3labs repository. This project is also implemented based on github.com/mark3labs/mcp-filesystem-server.

Usage

Install the server

go install github.com/qiangmzsx/mcp-filesystem-server

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "filesystem": {
      "command": "mcp-filesystem-server",
      "args": [
        "/Users/username/Desktop",
        "/path/to/other/allowed/dir"
      ]
    }
  }
}

License

This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.