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xai-search-mcp

by kicito

xAI Search MCP Server

An MCP (Model Context Protocol) server that provides real-time web search and X (Twitter) search capabilities via the xAI API.

Quick Start

The easiest way to use this server is via npx — no clone or build required:

XAI_API_KEY=your_key npx @kicito/xai-search-mcp

Just set your XAI_API_KEY environment variable and configure your MCP client (see Configuration below).

Related MCP server: superhighway-mcp

Tools

Search the web in real-time. Returns results with source citations.

Parameter

Type

Required

Description

query

string

The search query

allowed_domains

string[]

Only search within these domains (max 5)

excluded_domains

string[]

Exclude these domains from search (max 5)

Search X (Twitter) posts, users, and threads. Returns results with source citations.

Parameter

Type

Required

Description

query

string

The search query for X posts

allowed_x_handles

string[]

Only consider posts from these handles (max 10)

excluded_x_handles

string[]

Exclude posts from these handles (max 10)

from_date

string

Start date (ISO8601, e.g. 2025-01-01)

to_date

string

End date (ISO8601, e.g. 2025-06-01)

Setup

Prerequisites

Install & Build

npm install
npm run build

Configuration

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "xai-search": {
      "command": "npx",
      "args": ["-y", "@kicito/xai-search-mcp"],
      "env": {
        "XAI_API_KEY": "your-xai-api-key-here"
      }
    }
  }
}

Cursor

Add to your Cursor MCP settings:

{
  "mcpServers": {
    "xai-search": {
      "command": "npx",
      "args": ["-y", "@kicito/xai-search-mcp"],
      "env": {
        "XAI_API_KEY": "your-xai-api-key-here"
      }
    }
  }
}

If you prefer to clone and build manually:

git clone https://github.com/kicito/x_search_mcp.git
cd x_search_mcp
npm install
npm run build

Then use the full path in your config:

{
  "mcpServers": {
    "xai-search": {
      "command": "node",
      "args": ["/absolute/path/to/x_search_mcp/build/index.js"],
      "env": {
        "XAI_API_KEY": "your-xai-api-key-here"
      }
    }
  }
}

Environment Variables

Variable

Required

Default

Description

XAI_API_KEY

Your xAI API key

XAI_MODEL

grok-4-1-fast-reasoning

The xAI model to use

How It Works

The server uses the xAI Responses API with built-in server-side tools (web_search and x_search). When an MCP client calls one of the tools, the server:

  1. Sends the query to POST https://api.x.ai/v1/responses with the appropriate tool configuration

  2. Grok executes the search, gathers results, and generates a response

  3. Citations (source URLs) are extracted from the response annotations

  4. The response text and formatted citations are returned to the MCP client

Development

# Install dependencies
npm install

# Build
npm run build

# Start (requires XAI_API_KEY env var)
XAI_API_KEY=your-key npm start

License

MIT

Available Tools

2 tools

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 2 tool updatesv1.0.3
    • First observedweb_search
    • First observedx_search

TDQS

A3.9/5.0

Scored across 2 tools

Disambiguation5/5

The two tools target completely distinct domains: web_search is for general web content, while x_search is specifically for X (Twitter). There is no overlap in their search scopes, so an agent can easily distinguish between them.

Naming Consistency5/5

Both tools use a consistent verb_noun pattern (web_search, x_search), with the verb 'search' followed by a clear domain identifier. The naming is uniform and predictable.

Tool Count4/5

With only 2 tools, the server is minimal but justified for its focused purpose of providing real-time search across two specific sources (web and X). It could potentially include more search types, but the current count is reasonable for a specialized search server.

Completeness4/5

The server covers the primary search needs implied by its name: web and X/Twitter searches. Minor gaps like additional search options or filters are missing, but the core functionality is adequately addressed for basic real-time searches.

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