Question 1

What is the MCP Server?

Accepted Answer

The MCP Server is a versatile web content fetching tool designed for AI agents, complying with the Model Context Protocol (MCP). It supports multiple modes, formats, and intelligent proxy detection, facilitating seamless interaction with web resources.

Question 2

What are the key features of the MCP Server?

Accepted Answer

Key features include MCP compliance, versatile web scraping, intelligent mode switching, content size management, chunked content retrieval, detailed debug logging, bilingual internationalization, modular design, intelligent content extraction, metadata support, smart content detection, and browser automation enhancements.

Question 3

How does the MCP Server handle large content?

Accepted Answer

The MCP Server automatically splits large content into manageable chunks to overcome AI model context size limitations, allowing for the retrieval of specific content chunks while maintaining context continuity.

Question 4

What content formats does the MCP Server support?

Accepted Answer

The MCP Server supports HTML, JSON, text, Markdown, and plain text conversion.

Question 5

How does the MCP Server handle websites with anti-scraping measures?

Accepted Answer

The MCP Server features intelligent mode switching, automatically transitioning between standard requests and browser mode to bypass anti-scraping measures.

Question 6

What is intelligent content extraction?

Accepted Answer

Intelligent content extraction utilizes Mozilla's Readability library to extract meaningful content from web pages while filtering out advertisements and navigation elements.

Question 7

Does the MCP Server support proxy settings?

Accepted Answer

Yes, the MCP Server supports proxy settings through request parameters, environment variables, and system proxy detection.

Question 8

How do I integrate the MCP Server with Claude?

Accepted Answer

You can integrate the MCP Server with Claude desktop by adding a server configuration to the `claude_desktop_config.json` file.

Question 9

What are the supported tools in Claude after integration?

Accepted Answer

After integration, you can use the following tools: `fetch_html`, `fetch_json`, `fetch_txt`, `fetch_markdown`, and `fetch_plaintext`.

Question 10

How do I enable debug logging?

Accepted Answer

Enable debug logging by setting the `debug: true` parameter when calling a tool. Debug messages are sent to stderr and written to a log file.

Question 11

What languages are supported by the MCP Server?

Accepted Answer

The MCP Server supports Chinese and English bilingual internationalization. You can set the language using the `MCP_LANG` environment variable.

Question 12

What is the UBOS platform, and how does the MCP Server integrate with it?

Accepted Answer

UBOS is a full-stack AI Agent Development Platform. Integrating the MCP Server with UBOS unlocks the full potential of your AI agents, allowing you to create intelligent solutions that drive innovation and improve business outcomes.

Question 13

How do I install the MCP Server globally?

Accepted Answer

You can install the MCP Server globally using the command: `pnpm add -g @lmcc-dev/mult-fetch-mcp-server`.

Question 14

Can I run the MCP Server without installation?

Accepted Answer

Yes, you can run the MCP Server directly with npx using the command: `npx @lmcc-dev/mult-fetch-mcp-server`.

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