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higress-ai-search-mcp-server
Un servidor MCP mejora las respuestas de IA con resultados de búsqueda en tiempo real a través de Higress AI-Search.
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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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🧑🚀 全世界最好的 llM 资料总结(数据处理、模型训练、模型部署、 O1 模型、 MCP 、小语言模型、视觉语言模型) | Resumen de los mejores recursos del mundo.
Reviews

user_FLPnIvJR
I've been using the higress-ai-search-mcp-server by cr7258 for a few weeks now, and it has significantly improved my productivity. The seamless integration and efficient search capabilities are exceptional. Highly recommend it for anyone looking for a reliable MCP application! Check it out here: https://github.com/cr7258/higress-ai-search-mcp-server