Web MCP Server

A privacy-focused web search MCP (Model Context Protocol) server that provides web search and content extraction capabilities. Uses SearxNG as the primary search engine with Google scraping as a fallback.

Features

• Web Search - Search the web with category filters (general, news, images, videos, science, files)
• Content Extraction - Extract readable content from URLs as markdown
• Search Suggestions - Get query suggestions for better searches
• Privacy-Focused - Uses SearxNG metasearch engine
• Fallback Support - Automatically falls back to Google scraping if SearxNG is unavailable
• Relevance Ranking - Query-aware reranking, deduplication, and low-signal filtering
• Security-Aware Search - CVE/security queries prioritize trusted advisory sources
• Rate Limiting - Built-in rate limiting to prevent abuse
• Docker Ready - Single-container deployment with SearxNG included

Tools Provided

Tool	Description
web_search	Search the web with query, category, and limit options
fetch_content	Extract and convert webpage content to markdown
get_suggestions	Get search query suggestions

Installation

Option 1: Docker (Recommended)

# Build the image
docker build -t web-mcp:latest .

# Run the container
docker run --rm -i web-mcp:latest

Option 2: Python Package

# Clone the repository
git clone https://github.com/your-org/web-mcp.git
cd web-mcp

# Install dependencies
pip install -r requirements.txt
pip install -r requirements-dev.txt  # Optional: tests, lint, type checks

# Or install as package
pip install -e .

# Run the server
python -m web_mcp.server

Option 3: With External SearxNG

If you have an existing SearxNG instance:

# Set the SearxNG URL
export SEARXNG_URL=http://your-searxng-instance:8080

# Run the MCP server
python -m web_mcp.server

Configuration

Environment Variables

Variable	Default	Description
SEARXNG_URL	http://localhost:8080	SearxNG server URL
SEARXNG_TIMEOUT	10	Request timeout in seconds
SEARCH_ENGINE_PROFILE_MODE	auto	Query-aware engine profile mode (auto or off)
SEARCH_SECURITY_ENGINES	brave,bing,duckduckgo,wikipedia,github,stackoverflow	Engines used for security/CVE queries
SEARCH_GENERAL_ENGINES	``	Engines for general queries (empty = SearxNG defaults)
SEARCH_CANDIDATE_MULTIPLIER	5	Candidate expansion before reranking
SEARCH_MAX_CANDIDATES	30	Maximum candidates before reranking
SEARCH_MIN_QUALITY_SCORE	2.5	Security-query quality threshold for fallback merge
FALLBACK_ENABLED	true	Enable Google scraping fallback
RATE_LIMIT_REQUESTS	30	Max requests per period
RATE_LIMIT_PERIOD	60	Rate limit period in seconds
MAX_CONTENT_LENGTH	10000	Max characters in fetched content
FETCH_ALLOW_PRIVATE_NETWORK	false	Allow fetching localhost/private network URLs
DEFAULT_SEARCH_LIMIT	5	Default number of search results
LOG_LEVEL	INFO	Logging level (DEBUG, INFO, WARNING, ERROR)
JSON_LOGS	false	Output logs in JSON format

Configuration File

Create a .env file in the project root:

SEARXNG_URL=http://localhost:8080
SEARXNG_TIMEOUT=10
SEARCH_ENGINE_PROFILE_MODE=auto
SEARCH_SECURITY_ENGINES=brave,bing,duckduckgo,wikipedia,github,stackoverflow
SEARCH_GENERAL_ENGINES=
SEARCH_CANDIDATE_MULTIPLIER=5
SEARCH_MAX_CANDIDATES=30
SEARCH_MIN_QUALITY_SCORE=2.5
FALLBACK_ENABLED=true
RATE_LIMIT_REQUESTS=30
RATE_LIMIT_PERIOD=60
MAX_CONTENT_LENGTH=10000
FETCH_ALLOW_PRIVATE_NETWORK=false
DEFAULT_SEARCH_LIMIT=5
LOG_LEVEL=INFO
JSON_LOGS=false

Usage with MCP Clients

Claude Desktop

Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "web-mcp": {
      "command": "docker",
      "args": ["run", "--rm", "-i", "web-mcp:latest"]
    }
  }
}

Or with Python:

{
  "mcpServers": {
    "web-mcp": {
      "command": "python",
      "args": ["-m", "web_mcp.server"],
      "env": {
        "SEARXNG_URL": "http://localhost:8080"
      }
    }
  }
}

Other MCP Clients

The server uses stdio transport, making it compatible with any MCP-compatible client.

Tool Reference

web_search

Search the web for information.

Parameters:

Parameter	Type	Required	Description
query	string	Yes	The search query
category	string	No	Search category: general, images, videos, news, science, files
limit	integer	No	Maximum results (default: 5, min: 1, max: 10)

Example:

{
  "name": "web_search",
  "arguments": {
    "query": "Python async programming",
    "category": "general",
    "limit": 5
  }
}

Response:

# Search Results for: Python async programming

*Provider: searxng | 5 results*

---

## 1. Async IO in Python: A Complete Guide
**URL:** https://realpython.com/async-io-python/

Complete guide to async programming in Python...

## 2. Python asyncio Documentation
**URL:** https://docs.python.org/3/library/asyncio.html

Official Python asyncio documentation...

fetch_content

Extract readable content from a URL. By default, only public http/https targets are allowed (FETCH_ALLOW_PRIVATE_NETWORK=false).

Parameters:

Parameter	Type	Required	Description
url	string	Yes	The URL to fetch content from
max_length	integer	No	Maximum content length (default: 10000, min: 500, max: 20000)

Example:

{
  "name": "fetch_content",
  "arguments": {
    "url": "https://example.com/article",
    "max_length": 5000
  }
}

Response:

# Article Title

> Brief description of the article

**Author:** John Doe
**Source:** example.com
**URL:** https://example.com/article

---

[Article content in markdown format...]

get_suggestions

Get search query suggestions.

Parameters:

Parameter	Type	Required	Description
query	string	Yes	The partial search query

Example:

{
  "name": "get_suggestions",
  "arguments": {
    "query": "python asyn"
  }
}

Response:

# Suggestions for: python asyn

1. python async await
2. python asyncio tutorial
3. python async http requests
4. python async context manager
5. python asyncio vs threading

Development

Setup

# Create virtual environment
python -m venv venv
source venv/bin/activate

# Install development dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Run linting
ruff check src tests

# Run type checking
mypy src

Manual MCP Smoke Test (Container + stdio)

Use this to verify the real MCP integration path used by CLI agents.

test.py starts the containerized MCP server as a child process with: docker run --rm -i web-mcp:latest and validates initialize, list_tools, and call_tool flows.

The container contract is stdio-only. Detached mode (docker run -d ...) is intentionally not supported for MCP clients.

# 1) Build image
docker build -t web-mcp:latest .

# 2) Run smoke script from repo root (with your virtualenv active)
.venv/bin/python test.py

# Optional: custom inputs
.venv/bin/python test.py \
  --image web-mcp:latest \
  --query "python asyncio" \
  --suggest-query "python asyn" \
  --content-url "https://example.com" \
  --limit 3 \
  --max-length 800

# Optional: full response blocks
.venv/bin/python test.py --verbose

What test.py verifies:

• MCP session initialization against containerized server
• Expected tools are registered: web_search, fetch_content, get_suggestions
• Tool calls succeed over MCP stdio transport

Script behavior notes:

• If you pass only one of --query or --suggest-query, that value is reused for both
• test.py prints compact pass/fail summaries by default; use --verbose to show full tool outputs
• Use --docker-command if your environment uses a different container runtime command

Project Structure

web-mcp/
├── src/web_mcp/
│   ├── __init__.py
│   ├── config.py           # Configuration management
│   ├── server.py           # MCP server entry point
│   ├── search/
│   │   ├── base.py         # SearchResult, SearchResponse, SearchProvider ABC
│   │   ├── searxng.py      # SearxNG provider
│   │   ├── google.py       # Google scraping fallback
│   │   ├── fallback.py     # Fallback orchestration + quality gate
│   │   ├── relevance.py    # Scoring, ranking, dedup, snippet cleaning
│   │   └── provider_registry.py # Shared provider singleton
│   ├── tools/
│   │   ├── web_search.py   # web_search tool
│   │   ├── fetch_content.py # fetch_content tool
│   │   └── suggestions.py  # get_suggestions tool
│   └── utils/
│       ├── logger.py       # Structured logging
│       ├── rate_limiter.py  # Rate limiting
│       ├── content_extractor.py # HTML-to-markdown extraction
│       └── validation.py   # Shared input validation
├── tests/                  # Test suite
├── docker/                 # Docker configuration
│   ├── searxng/           # SearxNG settings
│   └── entrypoint.sh      # Container entrypoint
├── Dockerfile             # Single-container Docker build
├── pyproject.toml         # Python project config
├── requirements.txt       # Runtime dependencies
└── requirements-dev.txt   # Test/lint/type dependencies

Troubleshooting

Common Issues

1. SearxNG Connection Refused

Error: Failed to connect to SearxNG

• Ensure SearxNG is running: curl http://localhost:8080/config
• Check SEARXNG_URL environment variable
• If using Docker via MCP stdio, ensure the image is current (docker build -t web-mcp:latest .)

2. Google Rate Limiting

Error: Google rate limit hit (429)

• Reduce request frequency
• SearxNG should be used as primary; Google is fallback only
• Wait a few minutes before retrying

3. Content Extraction Failed

Error: Failed to extract content from page

• The page may use JavaScript rendering (not supported)
• The page may block automated requests
• Try with a different URL

4. Import Errors

ModuleNotFoundError: No module named 'web_mcp'

• Ensure you're in the virtual environment
• Install the package: pip install -e .
• Check PYTHONPATH includes src/

Debug Mode

Enable debug logging:

export LOG_LEVEL=DEBUG
python -m web_mcp.server

Docker Debugging

# Run container interactively
docker run -it --entrypoint /bin/sh web-mcp:latest

# View logs
docker logs <container>

Security Considerations

• SearxNG Secret: Change SEARXNG_SECRET in production
• Rate Limiting: Configure RATE_LIMIT_REQUESTS to prevent abuse
• Network: Container exposes port 8080 (for debugging only)
• User Permissions: Container defaults to root-managed processes; harden users/permissions for production

License

MIT License - see LICENSE for details.

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Run tests: pytest
5. Submit a pull request

Acknowledgments

• SearxNG - Privacy-respecting metasearch engine
• MCP - Model Context Protocol
• Trafilatura - Web content extraction