Webpage Summary Agent with mcp-agent and qwen
@yeshan333
About Webpage Summary Agent with mcp-agent and qwen
Webpage Summary Agent with mcp-agent 、MCP servers and qwen.
Basic information
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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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.
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