MCP Server

A Model Context Protocol (MCP) server implementation that provides various tools for AI agents and LLMs, including search capabilities powered by SearXNG and file system operations.

Local serverstdio

What is the MCP Server?

MCP Server is an MCP project maintained in the avinash539/mcp-server repository. The maintainer describes its purpose as “A Model Context Protocol (MCP) server implementation that provides various tools for AI agents and LLMs, including search capabilities powered by SearXNG and file system…”. Read the project documentation for the complete scope.

Local setup

The project provides a local client configuration using docker. Follow the repository’s build and installation steps before copying it, and replace example paths with the paths on your own computer.

Source

Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

ToolWhat it does
num_resultsnumber, optional): Number of results to return (default: 5, max: 20)
languagestring, optional): Language code for results (e.g., "en", "fr")
time_rangestring, optional): Time range for results (day, week, month, year)
search_categorystring, optional): Category to search in (general, images, news, videos)
pathstring, optional): Directory to list (default: current directory)
encodingstring, optional): Encoding to use (default: "utf-8")
binaryboolean, optional): Whether to write in binary mode (default: false)
appendboolean, optional): Whether to append to file (default: false)
recursiveboolean, optional): Whether to list recursively (default: false)
patternstring, optional): Pattern to match filenames
search
my_custom_tool

How to install the MCP Server

{
  "mcpServers": {
    "mcp-server": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-p",
        "8000:8000",
        "-e",
        "MCP_SEARXNG__INSTANCE_URL=http://host.docker.internal:8080",
        "mcp-server"
      ]
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.