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Higress AI-Search MCP Server

@cr7258

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Apache-2.0

トランスポート

stdio

作者

cr7258

Higress AI-Search MCP Server について

An MCP server enhances AI responses with real-time search results via Higress ai-search.

Higress AI-Search MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "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"
      }
    }
  }
}

Higress AI-Search MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Higress AI-Search MCP Server?

Higress AI-Search MCP Server is a Model Context Protocol (MCP) server that provides an AI search tool to enhance AI model responses with real‑time search results. It integrates with the Higress ai‑search feature to search various engines and internal knowledge bases.

How to use Higress AI-Search MCP Server?

Install via uvx (automatic install from PyPI) or clone the repository and use uv locally. Configure environment variables: HIGRESS_URL (optional, default http://localhost:8080/v1/chat/completions), MODEL (required), and INTERNAL_KNOWLEDGE_BASES (optional). Add the server configuration to your MCP client (e.g., Cline or Claude Desktop) with the appropriate command and args.

Key features of Higress AI-Search MCP Server

  • Internet search via Google, Bing, and Quark
  • Academic search via Arxiv for scientific papers
  • Internal knowledge base search
  • Real‑time enhancement of AI model responses

Use cases of Higress AI-Search MCP Server

  • Provide up‑to‑date web information to an AI assistant during a conversation
  • Retrieve latest academic research papers on a given topic
  • Answer queries using company‑internal knowledge bases
  • Augment LLM responses with current data from multiple search sources

よくある質問

1

What does the server do?

It provides an AI search tool that fetches results from external search engines and internal knowledge bases, then feeds them into an AI model to improve answer quality.

2

What are the prerequisites?

You need `uv` installed and a running Higress instance configured with both the `ai‑search` and `ai‑proxy` plugins.

3

Is it required to have a Higress service running?

Yes. The server connects to a Higress service at the URL specified by `HIGRESS_URL` (default `http://localhost:8080/v1/chat/completions`).

4

What search engines are supported?

Google, Bing, Quark (general web search) and Arxiv (academic search). Internal knowledge base search is also supported.

5

How do I configure the server?

Set environment variables `HIGRESS_URL`, `MODEL` (required), and optionally `INTERNAL_KNOWLEDGE_BASES`. Then add the server configuration to your MCP client.

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