kimdonghwi94/Web-Analyzer-MCP

Overview

A Python-based MCP server that provides web analysis summaries. It uses the Model Context Protocol to expose web analysis functionality for AI tools and agents.

Best for

Best for
Developers exploring MCP servers for web content summarization with Python

Use cases

• Integrating web page analysis into MCP-compatible AI assistants
• Building custom tools that require summarized web content
• Fetching and summarizing web pages programmatically via MCP

How to use

Install

uv run mcp-webanalyzer

Tested with

Claude Desktop, Claude Code, Cursor, VS Code, JetBrains AI Assistant

Example client config

{\n  "mcpServers": {\n    "web-analyzer": {\n      "command": "uv",\n      "args": [\n        "--directory",\n        "/path/to/web-analyzer-mcp",\n        "run", \n        "mcp-webanalyzer"\n      ],\n      "env": {\n        "OPENAI_API_KEY": "your_openai_api_key_here",\n        "OPENAI_MODEL": "gpt-4"\n      }\n    }\n  }\n}

Notes

A Python-based MCP server that provides web analysis summaries. It uses the Model Context Protocol to expose web analysis functionality for AI tools and agents.

3 stars on GitHub. Last updated 2025-09-03. Licensed MIT.

Use cases

• Integrating web page analysis into MCP-compatible AI assistants
• Building custom tools that require summarized web content
• Fetching and summarizing web pages programmatically via MCP

Pros

• Straightforward Python implementation for easy customization
• Follows the MCP standard, enabling interoperability with MCP clients
• Open source with a permissive license

Cons

• Very low star count (3) suggests limited community validation or maintenance
• Minimal documentation and example usage beyond the repository itself
• May lack advanced features like caching or error handling

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.