Searxng Bridge

= MCP SearXNG Rust Bridge :description: A high-performance, network-ready MCP server bridge for SearXNG with web scraping capabilities. :icons: font :toc: macro :toc-title: Table of Contents :imagesdir: images :sectnums: :source-highlighter: highlight.js

image:https://img.shields.io/docker/v/davidburet/mcp-searxng-bridge[Version] image:https://img.shields.io/docker/image-size/davidburet/mcp-searxng-bridge/latest[Size] image:https://img.shields.io/badge/Rust-2024-orange.svg[Rust Version] image:https://img.shields.io/badge/License-MIT-blue.svg[License]

[cols="2,10",frame=none] |=== |image:logo-128.png[logo] a|An implementation of the Model Context Protocol (MCP) that allows AI agents to perform web searches and extract web content. Built with Rust for speed, reliability & minimal footprint.

Unlike standard MCP servers using stdio, this bridge operates over the network:

• SSE (Server-Sent Events) with a Hybrid Response mode, making it compatible with clients like LM Studio.
• /mpc POST, making it compatible with clients like open WebUI. |===

toc::[]

NOTE: This project is a gateway only and does not include https://docs.searxng.org/[SearXNG]. You must deploy and configure your own https://docs.searxng.org/[SearXNG] instance separately.

== Features

• Dual Tools: ** search: High-speed web search via SearXNG. ** fetch_page: Smart content extraction (HTML to Markdown) with boilerplate removal.
• Network-Ready: Connect via SSE/HTTP; no local child-process management required.
• LM Studio Optimized: Specialized "Hybrid Handshake" to prevent connection timeouts.
• Modern Rust: Leveraging Edition 2024 and the Axum/Tokio ecosystem.
• Docker Optimized: Multi-stage builds and image FROM scratch for a tiny footprint (~5MB).

== Tools

The bridge exposes two primary tools to the AI:

[cols="1,3"] |=== | Tool | Description

| search | Performs a query on SearXNG and returns titles, snippets, and URLs.

| fetch_page | Downloads a specific URL, extracts the main content (article/body), and converts it to clean Markdown. |===

== Deployment Options

=== Using the DockerHub Image (Fastest) [source,bash]

docker run -d
--name mcp-searxng-bridge
-p 3000:3000
-e MCP_SX_URL="http://your-searxng-ip:18080"
-e MCP_SX_PORT="3000" -e MCP_SX_LOG="info" davidburet/mcp-searxng-bridge:0.4.0

=== Building with Docker (Local) [source,console]

docker build -t mcp-searxng-bridge . docker run -d -p 3000:3000 -e MCP_SX_URL="http://172.17.0.1:18080" mcp-searxng-bridge

=== Native Binary Build Requires Rust 1.85+ (Edition 2024). [source,console]

cargo build --release export MCP_SX_URL="http://localhost:18080" ./target/release/mcp-searxng-rs

== Configuration

Environment variables (prefixed with MCP_SX_):

[cols="1,2,1"] |=== | Variable | Description | Default

| MCP_SX_URL | URL of your SearXNG instance | http://172.17.0.1:18080

| MCP_SX_PORT | Port the bridge will listen on | 3000

| MCP_SX_LOG | Log level (debug, info, warn, error) | info |===

== Connecting to LM Studio

Tested with https://lmstudio.ai[LMStudio] version 0.4.2+.

To integrate the bridge, edit your mcp.json configuration file:

• Location: ** Windows: %APPDATA%\LM Studio\mcp.json ** macOS: ~/Library/Application Support/LM Studio/mcp.json ** Linux: ~/.config/lmstudio/mcp.json

• Configuration: [source,json]

{ "mcpServers": { "searxng-suite": { "url": "http://YOUR_BRIDGE_IP:3000/sse" } } }

via HTTP POST to avoid the 60s timeout often encountered with LM Studio's SSE implementation._

== Known Limitations

• Broadcast Channel: Currently, responses are broadcasted to all active SSE subscribers. Ideal for private/single-user use.
• Security: No built-in Auth. Keep it behind a VPN or trusted network.
• Scraping: fetch_page does not execute JavaScript (uses a static HTML scraper).

== License

MIT License. See LICENSE for details. Note: Mentioning the author in credits is required for any redistribution.

== AI assistance disclosure

This project includes AI-assisted code and documentation. The maintainer reviews and tests changes, however the software is provided "as is" and may contain errors. Use at your own risk; validate in your environment before production use.

Created by DBuret. Part of the https://gitlab.com/dburet/pAItrimony[pAItrimony] services suite.