Sponsored by Deepsite.site

Filesystem SSE Server in Go

Created By
lealre10 months ago
A Go MCP server enabling file system interactions.
Content

Filesystem SSE Server in Go

This repository provides a server implementation to offer a suite of tools for interacting with the file system, such as listing directory entries, reading and writing files, retrieving file information, renaming, and copying files or directories.

It specifically runs an SSE server on a local machine.

Table of Contents

Installation

  1. Ensure that you have Go installed on your system (using Go version 1.24).
  2. Run the following command to install the package using go install:
go install github.com/lealre/fs-mcp@latest
  1. Run the help command:
fs-mcp -h
  • The -dir flag specifies the base directory that the server will serve. It is required.
  • The -port flag specifies the port on which the server will listen. It is optional, with the default being 8080.

Installing Locally by Cloning the Repository

  1. Clone the repository to your local machine:
git clone https://github.com/lealre/fs-mcp.git
  1. Navigate into the cloned directory:
cd fs-mcp
  1. Build the project:
go build
  1. Run the executable:
./fs-mcp
  • This will run the server, and you can specify options such as -dir and -port with the command.

How to Use

Once the installation is complete, you can use the server by running:

fs-mcp -dir /your/directory/path

This will start the MCP server at http://localhost:8080, restricting the file system operations to be under this specific path.

For now, it only accepts one path to the server.

To change the server port, you can pass it as a flag:

fs-mcp -dir /your/directory/path -port 3000

Example of usage with PydanticAI in Python

  • Run the MCP server:
fs-mcp -dir /your/directory/path
  • Create the Python client (using OpenAI in this case):
# script.py

import asyncio
import sys
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

server = MCPServerHTTP('http://localhost:8080/sse')
agent = Agent('openai:gpt-4o', mcp_servers=[server])

async def main():
    if len(sys.argv) < 2:
        print("Usage: python script.py 'your prompt/query here'")
        sys.exit(1)

    query = sys.argv[1]

    async with agent.run_mcp_servers():
        result = await agent.run(query)

    print(result.data)

if __name__ == '__main__':
    asyncio.run(main())
  • Then you can run:
python script.py "List all the entries for the path in /your/directory/path/somesubpath"

Tool Descriptions

This project provides various tools to interact with the file system. Below are the descriptions of each tool:

  • listEntries: List entries at a given path. Parameters:

    • path (string, required): Path for which to list all entries.
    • depth (number, optional): Depth of the directory tree (default is 3).
  • readFromFile: Read the contents of a file at a given path. Parameters:

    • path (string, required): Path to the file to be read.
  • writeToFile: Create or overwrite a file with the given content. Parameters:

    • path (string, required): Path to the file to write to.
    • content (string, required): Content to write to the file.
  • getFileInfo: Retrieve file information including size, last modified time, detected MIME type, and file permissions. Parameters:

    • path (string, required): Path to the file to retrieve information from.
  • renamePath: Renames a file or directory to a new name. Parameters:

    • path (string, required): Path to the file or directory to be renamed.
    • newPathFinalName (string, required): New name for the file or directory (just the name, not the full path).
  • copyFileOrDir: Copies a file or directory to a new location. Parameters:

    • path (string, required): Path to the file or directory to be copied.
    • destination (string, required): Destination path where the file or directory will be copied.

This project uses the mcp-go library to implement core functionality.

Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
RedisA Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.
DeepChatYour AI Partner on Desktop
Playwright McpPlaywright MCP server
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题; Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
Tavily Mcp
CursorThe AI Code Editor
ChatWiseThe second fastest AI chatbot™
WindsurfThe new purpose-built IDE to harness magic
Y GuiA web-based graphical interface for AI chat interactions with support for multiple AI models and MCP (Model Context Protocol) servers.
Amap Maps高德地图官方 MCP Server
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
Serper MCP ServerA Serper MCP Server
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。