What search engines are supported?
Google, Bing, and Quark for internet search; Arxiv for academic search; plus configurable internal knowledge bases.
@MCP-Mirror
基本信息
Mirror of
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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.
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).
Google, Bing, and Quark for internet search; Arxiv for academic search; plus configurable internal knowledge bases.
`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.
You can use `uvx` to install automatically from PyPI, or clone the repository and run with `uv` pointing to the local source.
You need `uv` for package management and a Higress gateway configured with the ai‑search and ai‑proxy plugins.
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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