What is Higress Ai Search Mcp Server

Higress-ai-search-mcp-server is a Model Context Protocol (MCP) server that enhances AI model responses by integrating real-time search results from various search engines through the Higress ai-search feature.

Use cases

Use cases for the higress-ai-search-mcp-server include enhancing AI responses in customer support, providing real-time information retrieval for research purposes, and integrating internal company knowledge into AI interactions.

How to use

To use the higress-ai-search-mcp-server, you can either install it using the ‘uvx’ command for automatic package installation or clone the repository and run it locally using the ‘uv’ command. Configuration involves setting environment variables such as HIGRESS_URL and MODEL.

Key features

Key features include internet search capabilities (Google, Bing, Quark), academic search for scientific papers (Arxiv), and internal knowledge search functionalities.

Where to use

undefined

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.

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"
      }
    }
  }
}

License

This project is licensed under the MIT License - see the LICENSE file for details.