Higress AI-Search MCP Server

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Apache-2.0 license

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MCP-Mirror

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Higress AI-Search MCP Server 配置

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Higress AI-Search MCP Server 工具

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概览

What is Higress AI-Search MCP Server?

The Higress AI-Search MCP Server is a Model Context Protocol (MCP) server that provides an AI search tool. It enhances AI model responses with real‑time search results from multiple search engines through the Higress ai‑search feature. This server is for developers and users who want to give AI assistants access to live web, academic, and internal knowledge data.

How to use Higress AI-Search MCP Server?

Install via uvx (automatic from PyPI) or uv with a local clone. Configure the server by setting environment variables – MODEL (required) and optionally HIGRESS_URL (default http://localhost:8080/v1/chat/completions) and INTERNAL_KNOWLEDGE_BASES. Add the server configuration to your MCP client (e.g., Claude Desktop or Cline).

Key features of Higress AI-Search MCP Server

Internet search via Google, Bing, and Quark
Academic search via Arxiv
Internal knowledge base search
Real‑time search result integration into AI responses
Configurable LLM model and Higress endpoint

Use cases of Higress AI-Search MCP Server

Enhance chatbot answers with up‑to‑date web information
Retrieve scientific papers and research from Arxiv
Search internal company documents (employee handbook, policies)

常见问题

What search engines are supported?

Google, Bing, and Quark for internet search; Arxiv for academic search; plus configurable internal knowledge bases.

What environment variables are needed?

`MODEL` is required. `HIGRESS_URL` is optional (defaults to `http://localhost:8080/v1/chat/completions`). `INTERNAL_KNOWLEDGE_BASES` is optional for describing your internal knowledge sources.

How do I install the server?

You can use `uvx` to install automatically from PyPI, or clone the repository and run with `uv` pointing to the local source.

What are the prerequisites?

You need `uv` for package management and a Higress gateway configured with the ai‑search and ai‑proxy plugins.

Who should use this server?

Anyone who wants to give MCP‑compatible AI assistants (like those in Claude Desktop or Cline) the ability to perform live searches across the web, academic sources, or internal knowledge bases.

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