What can you do with this server?

The Higress AI-Search MCP Server enhances AI model responses with real-time search results from various sources: * Internet Search: Retrieve information from Google, Bing, and Quark * Academic Search: Access scientific papers and research from Arxiv * Internal Knowledge Search: Query company policies, product documentation, and technical specifications

Which integrations are available for this server?

Provides academic search capabilities for scientific papers and research Allows searching for general web information through Google search engine

How do I use Higress AI-Search MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Higress AI-Search MCP Server search for recent advancements in quantum computing on Arxiv" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Higress AI-Search MCP Server

Overview

A Model Context Protocol (MCP) server that provides an AI search tool to enhance AI model responses with real-time search results from various search engines through Higress ai-search feature.

Related MCP server: WebSearch-MCP

Demo

Cline

https://github.com/user-attachments/assets/60a06d99-a46c-40fc-b156-793e395542bb

Claude Desktop

https://github.com/user-attachments/assets/5c9e639f-c21c-4738-ad71-1a88cc0bcb46

Features

Internet Search: Google, Bing, Quark - for general web information
Academic Search: Arxiv - for scientific papers and research
Internal Knowledge Search

Prerequisites

uv for package installation.
Config Higress with ai-search plugin and ai-proxy plugin.

Configuration

The server can be configured using environment variables:

HIGRESS_URL(optional): URL for the Higress service (default: http://localhost:8080/v1/chat/completions).
MODEL(required): LLM model to use for generating responses.
INTERNAL_KNOWLEDGE_BASES(optional): Description of internal knowledge bases.

Option 1: Using uvx

Using uvx will automatically install the package from PyPI, no need to clone the repository locally.

{
  "mcpServers": {
    "higress-ai-search-mcp-server": {
      "command": "uvx",
      "args": [
        "higress-ai-search-mcp-server"
      ],
      "env": {
        "HIGRESS_URL": "http://localhost:8080/v1/chat/completions",
        "MODEL": "qwen-turbo",
        "INTERNAL_KNOWLEDGE_BASES": "Employee handbook, company policies, internal process documents"
      }
    }
  }
}

Option 2: Using uv with local development

Using uv requires cloning the repository locally and specifying the path to the source code.

{
  "mcpServers": {
    "higress-ai-search-mcp-server": {
      "command": "uv",
      "args": [
        "--directory",
        "path/to/src/higress-ai-search-mcp-server",
        "run",
        "higress-ai-search-mcp-server"
      ],
      "env": {
        "HIGRESS_URL": "http://localhost:8080/v1/chat/completions",
        "MODEL": "qwen-turbo",
        "INTERNAL_KNOWLEDGE_BASES": "Employee handbook, company policies, internal process documents"
      }
    }
  }
}