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cindyloo-dropbox-mcp-server

@smithery/cindyloo-dropbox-mcp-server
Hosted
0 Stars 4 次浏览 smithery 更新于 2026-08-23

Search, browse, and read your Dropbox files. Find documents by name or content, list folders, and鈥�

该服务暂未提供标准配置,请参考 README 手动接入

可用工具 (5 个)

该服务在 MCP 协议中暴露的工具,AI 可按需调用

tavily_search 14 个参数 需填 1 项

Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.

必填参数:query

tavily_extract 6 个参数 需填 1 项

Extract content from URLs. Returns raw page content in markdown or text format.

必填参数:urls

tavily_crawl 11 个参数 需填 1 项

Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.

必填参数:url

tavily_map 8 个参数 需填 1 项

Map a website's structure. Returns a list of URLs found starting from the base URL.

必填参数:url

tavily_research 2 个参数 需填 1 项

Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.

必填参数:input

服务介绍

Dropbox MCP Server

A Model Context Protocol (MCP) server that provides read access to Dropbox files with advanced search and content extraction capabilities.

# Features

  • File Listing: Browse files and folders in your Dropbox
  • File Reading: Read content from various file types (PDF, DOCX, TXT, code files)
  • Search: Search for files by name across your Dropbox
  • Content Search: Search for specific text within files
  • File Info: Get detailed metadata about files
  • Smart Text Extraction: Automatically extracts text from PDFs and DOCX files

# Supported File Types

  • PDF - Text extraction with PyPDF2
  • DOCX/DOC - Document text extraction
  • Text files - TXT, MD, PY, JS, HTML, CSS, JSON, CSV

# Installation

# # Prerequisites

  • Python 3.10 or higher
  • A Dropbox account and access token

# # Get a Dropbox Access Token

  1. Go to the Dropbox App Console
  2. Click "Create app"
  3. Choose "Scoped access" and "Full Dropbox" access
  4. Name your app
  5. Go to the "Permissions" tab and enable:
    • files.metadata.read
    • files.content.read
  6. Go to the "Settings" tab and generate an access token

# # Install Dependencies

pip install -e .

Or install manually:

pip install mcp dropbox pydantic PyPDF2 python-docx

# Configuration

Set your Dropbox access token as an environment variable:

export DROPBOX_ACCESS_TOKEN="your_access_token_here"

# # For Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "dropbox": {
      "command": "python",
      "args": ["/path/to/your/dropbox_server.py"],
      "env": {
        "DROPBOX_ACCESS_TOKEN": "your_access_token_here"
      }
    }
  }
}

# # For Smithery

The server will automatically use the DROPBOX_ACCESS_TOKEN environment variable when deployed.

# Available Tools

# # list_files

List files and folders in a Dropbox directory.

Parameters:

  • folder_path (optional): Path to folder (empty for root)
  • max_files (optional): Maximum items to return (default: 20)

# # search_files

Search for files by name.

Parameters:

  • query: Search query
  • file_types (optional): File types to search ("all", "pdf", "docx", "txt", or comma-separated)
  • max_results (optional): Maximum results (default: 10)

# # read_file

Read the full content of a file.

Parameters:

  • file_path: Full path to the file
  • max_length (optional): Maximum characters to return (default: 5000, 0 for unlimited)

# # get_file_info

Get detailed metadata about a file.

Parameters:

  • file_path: Full path to the file

# # search_file_content

Search for text within specific files.

Parameters:

  • file_paths: List of file paths to search
  • query: Text to search for
  • context_chars (optional): Characters of context around matches (default: 100)

# Usage Examples

# # List files in root directory

list_files()

# # Search for PDF files

search_files(query="invoice", file_types="pdf", max_results=5)

# # Read a specific file

read_file(file_path="/documents/report.pdf")

# # Search within files

search_file_content(
    file_paths=["/documents/file1.txt", "/documents/file2.pdf"],
    query="important keyword"
)

# Development

# # Running Locally

python dropbox_server.py

# # Testing

Make sure your DROPBOX_ACCESS_TOKEN is set, then run the server and test with an MCP client.

# Security Notes

  • Keep your Dropbox access token secure and never commit it to version control
  • Use environment variables or secure secret management
  • The server only provides read access to Dropbox files
  • Consider using app-scoped tokens with minimal permissions

# License

MIT License - feel free to use and modify as needed.

# Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

# Support

For issues and questions, please open an issue on GitHub.

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