Higress AI-Search MCP Server

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Integrations

  • Provides academic search capabilities for scientific papers and research

  • Allows searching for general web information through Google search engine

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

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.

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security – no known vulnerabilities
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license - permissive license
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quality - confirmed to work

A Model Context Protocol server that enables AI models to perform real-time internet and knowledge searches through Higress, enhancing model responses with up-to-date information from Google, Bing, Arxiv, and internal knowledge bases.

  1. Overview
    1. Demo
      1. Cline
        1. Claude Desktop
        2. Features
          1. Prerequisites
            1. Configuration
              1. Option 1: Using uvx
                1. Option 2: Using uv with local development
                2. License