URL Agent
FreeNot checkedMCP server for intelligent web crawling using a ReAct agent. Adaptively explores websites and returns structured analysis.
About
MCP server for intelligent web crawling using a ReAct agent. Adaptively explores websites and returns structured analysis.
README
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
Installing URL Agent
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/rossja/url-agentFAQ
Is URL Agent MCP free?
Yes, URL Agent MCP is free — one-click install via Unyly at no cost.
Does URL Agent need an API key?
No, URL Agent runs without API keys or environment variables.
Is URL Agent hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install URL Agent in Claude Desktop, Claude Code or Cursor?
Open URL Agent on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
Related MCPs
Fetch
Web content fetching and conversion for efficient LLM usage.
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
by modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
by xuzexin-hzCompare URL Agent with
Not sure what to pick?
Find your stack in 60 seconds
Author?
Embed badge for your README
Browse similar
All ai MCPs
