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Webpage Summary Agent with mcp-agent and qwen

@yeshan333

Repository

About Webpage Summary Agent with mcp-agent and qwen

Webpage Summary Agent with mcp-agent 、MCP servers and qwen.

Basic information

Category

AI & Agents

Runtime

python

Transports

stdio

Publisher

yeshan333

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "webpage-summary-agent": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Tools

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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Webpage Summary Agent with mcp-agent and qwen?

It fetches a webpage and generates a summary using the Qwen language model, orchestrated by the mcp-agent framework. Designed for Windows environments.

How to use Webpage Summary Agent with mcp-agent and qwen?

Install with uv venv, then create a mcp_agent.secrets.yaml file with your Qwen API key. Run the agent with uv run main.py --url "<webpage_url>".

Key features of Webpage Summary Agent with mcp-agent and qwen

  • Summarizes any public webpage via a command-line tool
  • Uses Qwen (via OpenAI-compatible API) for text generation
  • Runs exclusively on Windows with uv package manager

Use cases of Webpage Summary Agent with mcp-agent and qwen

  • Quickly extract key points from long online articles
  • Generate concise overviews of documentation pages
  • Automate webpage summarization in a local Windows workflow

FAQ from Webpage Summary Agent with mcp-agent and qwen

What are the system requirements?

Windows environment and the uv package manager are required.

How do I set the Qwen API key?

Create a file named mcp_agent.secrets.yaml with the following content:

openai:
  api_key: "sk-xxxxxx"

Replace sk-xxxxxx with your actual Qwen API key obtained from Alibaba Cloud Bailian.

How do I run the agent for a specific URL?

Execute uv run main.py --url "<url>" from the project directory, replacing <url> with the webpage you want to summarize.

What transport or authentication is used?

The tool uses an OpenAI-compatible API endpoint for Qwen. Authentication is handled via the API key stored in mcp_agent.secrets.yaml. No other transport details are specified.

Comments

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