Local Research Server MCP Server

A free, private research assistant for AI development environments that searches the web and scrapes content using DuckDuckGo and Python. This MCP

Local serverstdioPython

What is the Local Research Server MCP server?

A free, private research assistant for AI development environments that searches the web and scrapes content using DuckDuckGo and Python. This MCP server gives AI assistants the ability to access real-time information while keeping all. Exposed over MCP by the local research server mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.

What it actually does

  • 🔍 Free Web Search: Uses DuckDuckGo's search API without requiring API keys
  • 📄 Content Extraction: Intelligently extracts clean text from web pages
  • 🔒 Privacy-First: All processing happens locally on your machine
  • Fast Integration: Works seamlessly with Claude Desktop via MCP
  • 🛠️ Zero Dependencies: No external services or subscriptions required

Its toolset

Everything the assistant can do here goes through one of these:

Adding it to your client

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.

Configuration

  • Python 3.10 or higher - One of the compatible AI environments: - Claude Desktop, Claude Code, Google CLI, Cline, or other MCP client - Basic command line knowledge

When to reach for it

Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Local Research Server's toolset — Prerequisites, Installation, Configuration — is a fair guide to whether it matches your workflow. It is maintained by Unlock-MCP; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Caveats

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the local research server mcp server does with a few real requests.

Available tools

ToolWhat it does
PrerequisitesThe Prerequisites tool exposed by this server.
Installation1. **Clone this repository:** bash git clone https://github.com/Unlock-MCP/local-research-server.git cd local-research-server
ConfigurationThe Configuration tool exposed by this server.

How to install the Local Research Server MCP server

{
  "mcpServers": {
    "local-researcher": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/your/local-research-server",
        "run",
        "python",
        "research_server.py"
      ]
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

  • Python 3.10 or higher - One of the compatible AI environments: - Claude Desktop, Claude Code, Google CLI, Cline, or other MCP client - Basic command line knowledge

Example prompts to try

  • Use Local Research Server to Prerequisites.
  • Use Local Research Server to Installation.
  • Use Local Research Server to Configuration.

Frequently asked questions

It connects Local Research Server to MCP-compatible AI assistants such as Claude and Cursor, exposing 3 tools (Prerequisites, Installation, Configuration) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Local Research Server directly.