A Model Context Protocol (MCP) server for SearXNG search engine with multi-query parallel search support
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"searxng-mul-mcp": {
"env": {
"PASSWORD": "your_password",
"USERNAME": "your_username",
"SEARXNG_URL": "https://your.searxng.com"
},
"args": [
"-y",
"searxng-mul-mcp"
],
"command": "npx"
}
}
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This server supports HTTP transport. Be the first to test it — help the community know if it works.
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A Model Context Protocol (MCP) server for SearXNG metasearch engine integration, supporting multi-query parallel search with both stdio and HTTP transport protocols.
🌟 Recommended: OllaMan - Powerful Ollama AI Model Manager.
SEARXNG_URL=https://your.searxng.com npx -y searxng-mul-mcp
SEARXNG_URL=https://your.searxng.com npx -y searxng-mul-mcp --transport=http --host=0.0.0.0 --port=3000
# Required: SearXNG server URL
SEARXNG_URL=https://your.searxng.com
# Optional: Basic Auth credentials
USERNAME=your_username
PASSWORD=your_password
# Optional: Transport configuration (can also use CLI flags)
TRANSPORT=stdio|http
HOST=0.0.0.0 # HTTP mode only
PORT=3000 # HTTP mode only
# Optional: Debug mode
DEBUG=false
Add the following configuration to your Claude Desktop claude_desktop_config.json file:
stdio mode:
{
"mcpServers": {
"searxng-mul-mcp": {
"command": "npx",
"args": ["-y", "searxng-mul-mcp"],
"env": {
"SEARXNG_URL": "https://your.searxng.com",
"USERNAME": "your_username",
"PASSWORD": "your_password"
}
}
}
}
This MCP server requires access to a SearXNG instance. You can:
https://your.searxng.com)If your SearXNG server requires Basic Auth:
export USERNAME=your_username
export PASSWORD=your_password
/health/mcp for client communicationgit clone <repository-url>
cd searxng-mul-mcp
npm install
npm run build
npm start
Create a docker-compose.yml file:
services:
searxng-mul-mcp:
image: ghcr.io/jae-jae/searxng-mul-mcp:latest
environment:
- SEARXNG_URL=https://your.searxng.com
# Optional: Basic Auth
# - USERNAME=your_username
# - PASSWORD=your_password
ports:
- "3000:3000"
Run with:
docker-compose up -d
The server provides a single search tool that accepts the following parameters: