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Filesystem MCP Server

by QuantGeekDev

文件系统

使用 mcp-framework 构建的模型上下文协议 (MCP) 服务器。

快速入门

# Install dependencies npm install # Build the project npm run build

项目结构

filesystem/ ├── src/ │ ├── tools/ # MCP Tools │ │ └── ExampleTool.ts │ └── index.ts # Server entry point ├── package.json └── tsconfig.json

添加组件

该项目附带一个示例工具,位于src/tools/ExampleTool.ts 。您可以使用 CLI 添加更多工具:

# Add a new tool mcp add tool my-tool # Example tools you might create: mcp add tool data-processor mcp add tool api-client mcp add tool file-handler

工具开发

示例工具结构:

import { MCPTool } from "mcp-framework"; import { z } from "zod"; interface MyToolInput { message: string; } class MyTool extends MCPTool<MyToolInput> { name = "my_tool"; description = "Describes what your tool does"; schema = { message: { type: z.string(), description: "Description of this input parameter", }, }; async execute(input: MyToolInput) { // Your tool logic here return `Processed: ${input.message}`; } } export default MyTool;

发布到 npm

  1. 更新你的 package.json:
    • 确保name唯一并遵循 npm 命名约定
    • 设置适当的version
    • 添加descriptionauthorlicense等。
    • 检查bin指向正确的入口文件
  2. 本地构建和测试:
    npm run build npm link filesystem # Test your CLI locally
  3. 登录 npm(如有必要,请创建帐户):
    npm login
  4. 发布你的包:
    npm publish

发布后,用户可以将其添加到他们的 claude 桌面客户端(见下文)或使用 npx 运行它

## Using with Claude Desktop ### Local Development Add this configuration to your Claude Desktop config file: **MacOS**: `~/Library/Application Support/Claude/claude_desktop_config.json` **Windows**: `%APPDATA%/Claude/claude_desktop_config.json` ```json { "mcpServers": { "filesystem": { "command": "node", "args":["/absolute/path/to/filesystem/dist/index.js"] } } }

发布后

将此配置添加到您的 Claude Desktop 配置文件:

MacOS~/Library/Application Support/Claude/claude_desktop_config.json Windows%APPDATA%/Claude/claude_desktop_config.json

{ "mcpServers": { "filesystem": { "command": "npx", "args": ["filesystem"] } } }

构建和测试

  1. 更改你的工具
  2. 运行npm run build进行编译
  3. 服务器将在启动时自动加载您的工具

了解更多

-
security - not tested
F
license - not found
-
quality - not tested

模型上下文协议服务器通过向 Claude 或其他 AI 助手提供文件系统访问和管理功能来扩展 AI 功能。

  1. 快速入门
    1. 项目结构
      1. 添加组件
        1. 工具开发
          1. 发布到 npm
            1. 构建和测试
              1. 了解更多

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