Ollama Websearch Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Ollama Websearch Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
MCP server for Ollama web search and web fetch APIs.
This MCP server exposes two tools for interacting with Ollama's web services:
git clone https://github.com/akopper/ollama-websearch-mcp.git
cd ollama-websearch-mcppip install -e .uvx runs the server in stdio mode by default (for Claude Desktop/Cursor):
uvx --from https://github.com/akopper/ollama-websearch-mcp ollama-websearch-mcpFor HTTP mode with uvx:
uvx --from https://github.com/akopper/ollama-websearch-mcp ollama-websearch-mcp -- --httpThe Docker image defaults to HTTP mode.
# HTTP mode (default) - for remote usage
docker run -d -p 8000:8000 -e OLLAMA_API_KEY=your-api-key ghcr.io/akopper/ollama-websearch-mcp
# stdio mode - for Claude Desktop/Cursor
docker run -it --rm -e OLLAMA_API_KEY=your-api-key ghcr.io/akopper/ollama-websearch-mcp --stdiocp .env.example .env
# Edit .env with your API key
docker-compose up -d| Variable | Description | Default |
|---|---|---|
OLLAMA_API_KEY | API key for Ollama cloud services | None |
OLLAMA_HOST | Host URL for Ollama | https://ollama.com |
#### stdio mode (default, for Claude Desktop/Cursor)
# Using the installed command
ollama-websearch-mcp
# Or directly with Python
python -m ollama_websearch_mcp.server#### HTTP mode (for remote usage)
python -m ollama_websearch_mcp.server --httpThe server will start on http://localhost:8000/mcp by default.
Add the following to your Claude Desktop configuration:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"ollama-websearch": {
"command": "ollama-websearch-mcp",
"env": {
"OLLAMA_API_KEY": "your-api-key-here"
}
}
}
}Or with a custom Python environment:
{
"mcpServers": {
"ollama-websearch": {
"command": "/path/to/venv/bin/python",
"args": ["-m", "ollama_websearch_mcp.server"],
"env": {
"OLLAMA_API_KEY": "your-api-key-here"
}
}
}
}Add to Cursor settings (or .cursor/mcp.json in project):
{
"mcpServers": {
"ollama-websearch": {
"command": "ollama-websearch-mcp",
"env": {
"OLLAMA_API_KEY": "your-api-key-here"
}
}
}
}MCPorter can discover and use this MCP server. Create a config file:
// config/mcporter.json
{
"mcpServers": {
"ollama-websearch": {
"description": "Ollama web search and web fetch MCP server",
"command": "ollama-websearch-mcp",
"env": {
"OLLAMA_API_KEY": "$env:OLLAMA_API_KEY"
}
}
}
}Or run ad-hoc:
# List tools
npx mcporter list ollama-websearch
# Call a tool
npx mcporter call ollama-websearch.web_search query:python max_results:10Perform a web search using Ollama's hosted search API.
Parameters:
query (required): The search query stringmax_results (optional): Maximum number of results to return (default: 10)Returns: Dictionary containing search results with title, url, and snippet.
Fetch the content of a web page.
Parameters:
url (required): The absolute URL to fetchReturns: Dictionary containing the fetched content with html, text, and metadata.
# Create virtual environment
python -m venv .venv
source .venv/bin/activate
# Install with dev dependencies
pip install -e ".[dev]"# Run all tests
pytest
# Run a single test
pytest tests/test_server.py::TestWebSearch::test_web_search_returns_dict
# Run with verbose output
pytest -v
# Run with coverage
pytest --cov=src --cov-report=html# Check code style
ruff check src/ tests/
# Auto-fix issues
ruff check src/ tests/ --fix# stdio mode with mcp dev
mcp dev src/ollama_websearch_mcp/server.py
# Or run directly
python -m ollama_websearch_mcp.serverMIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.