WebSearch MCP Server

A Model Context Protocol (MCP) server implementation that provides real-time web search capabilities through a simple API

Local serverstdioTypeScript

What is the WebSearch MCP MCP server?

If you want an AI assistant working directly with WebSearch MCP, the websearch mcp mcp server is the bridge. A Model Context Protocol (MCP) server implementation that provides real-time web search capabilities through a simple API.

What WebSearch MCP does

A Model Context Protocol (MCP) server implementation that provides a web search capability over stdio transport. This server integrates with a WebSearch Crawler API to retrieve search results.

WebSearch-MCP is a Model Context Protocol server that provides web search capabilities to AI assistants that support MCP. It allows AI models like Claude to search the web in real-time, retrieving up-to-date information about any topic.

Tools it exposes

Once connected, the assistant can call these 2 tools directly:

  • Prerequisites — The Prerequisites tool exposed by this server
  • Parameters — The Parameters tool exposed by this server

Installing the websearch mcp mcp server

The server is distributed via npm as @smithery/cli, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.

Configuration

Before the server will start you need to supply 3 environment variables: API_URL, MAX_SEARCH_RESULT, FLARESOLVERR_URL. Keep credentials in your client's env block or a secrets manager rather than committing them.

Requirements

Where it fits

Search and scraping servers exist to fix the single most common failure of any assistant: answering from stale training data instead of what is on the web today. WebSearch MCP sits in that group, and the shape of its toolset — Prerequisites, Parameters — tells you what it is really for. Worth comparing against the other search web scraping servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.

Practical notes

  • This server runs locally, so it operates with whatever access your machine and its credentials already have. Scope that deliberately rather than by default.
  • It will not start until its required credentials are present, so set those before wondering why the tools never appear.
  • Maintained by mnhlt, written in TypeScript.
  • MCP clients ask for confirmation before each tool call by default. Keep that on while you learn what the websearch mcp mcp server actually does with your data.
  • Every entry in this directory is reviewed by hand before it goes live, and details are checked against the project's own documentation.

Available tools

ToolWhat it does
PrerequisitesThe Prerequisites tool exposed by this server.
ParametersThe Parameters tool exposed by this server.

How to install the WebSearch MCP MCP server

{
  "mcpServers": {
    "websearch": {
      "command": "npx",
      "args": ["-y", "@smithery/cli"],
      "env": {
        "API_URL": "your-value",
        "MAX_SEARCH_RESULT": "your-value",
        "FLARESOLVERR_URL": "your-value"
      }
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

VariableDescriptionRequired
API_URLEndpoint or connection string the server talks to.Yes
MAX_SEARCH_RESULTConfiguration value read at startup.Optional
FLARESOLVERR_URLEndpoint or connection string the server talks to.Yes

Example prompts to try

  • Use WebSearch MCP to Prerequisites.
  • Use WebSearch MCP to Parameters.

Frequently asked questions

It connects WebSearch MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 2 tools (Prerequisites, Parameters) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with WebSearch MCP directly.