URL Agent
MCP server for intelligent web crawling using a ReAct agent. Adaptively explores websites and returns structured analysis.
README
URL Agent
MCP server for intelligent web crawling using a ReAct agent. Adaptively explores websites and returns structured analysis.
Features
- ReAct Loop: Agent reasons about which links to follow
- Multiple Providers: OpenAI, Anthropic Claude, or local Ollama
- Structured Output: Returns JSON with features, requirements, APIs, edge cases, and implementation notes
- MCP Server: Single
summarize_urltool for IDE integration
Quick Start
Using Docker (Recommended)
docker build -t url-agent .
docker run --rm -i -e OPENAI_API_KEY=your_key url-agent
Local Installation
# Install dependencies
uv sync
# Run the server
uv run urlagent
Configuration
Set via environment variables or .env file:
MODEL_PROVIDER=openai # openai, anthropic, or ollama
OPENAI_MODEL=gpt-4o-mini # Model name for any provider
OPENAI_API_KEY=your_key # For OpenAI
ANTHROPIC_API_KEY=your_key # For Anthropic
OLLAMA_BASE_URL=http://localhost:11434/v1 # For Ollama (optional)
Using Ollama (local, free):
ollama pull llama3
export MODEL_PROVIDER=ollama
export OPENAI_MODEL=llama3
uv run urlagent
Using Anthropic Claude:
export MODEL_PROVIDER=anthropic
export OPENAI_MODEL=claude-3-5-sonnet-20241022
export ANTHROPIC_API_KEY=your_key
uv run urlagent
MCP Integration
Option 1: Docker
{
"mcpServers": {
"url-agent": {
"command": "docker",
"args": ["run", "--rm", "-i", "-e", "OPENAI_API_KEY=YOUR_KEY", "url-agent"]
}
}
}
Option 2: Local (after uv sync)
{
"mcpServers": {
"url-agent": {
"command": "urlagent",
"env": {
"OPENAI_API_KEY": "YOUR_KEY"
}
}
}
}
Usage
Once registered with your MCP client:
Use summarize_url on https://example.com
The agent will:
- Fetch the root page
- Intelligently explore promising links
- Stop when it has enough information or hits limits
- Return structured JSON analysis
Tool Parameters
summarize_url(
url: str, # URL to analyze
max_depth: int = 2, # Maximum crawl depth
max_pages: int = 4 # Maximum pages to fetch
)
Project Structure
url-agent/
src/url_agent/ # Main package
server.py # MCP server entry point
react_agent.py # ReAct loop logic
web_fetcher.py # Web scraping utilities
providers/ # LLM provider implementations
pyproject.toml
Dockerfile
License
Apache 2.0
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