I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

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.
2
Github Watches
2
Github Forks
5
Github Stars
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.
相关推荐
Evaluator for marketplace product descriptions, checks for relevancy and keyword stuffing.
I find academic articles and books for research and literature reviews.
Confidential guide on numerology and astrology, based of GG33 Public information
Converts Figma frames into front-end code for various mobile frameworks.
Advanced software engineer GPT that excels through nailing the basics.
Take an adjectivised noun, and create images making it progressively more adjective!
Descubra la colección más completa y actualizada de servidores MCP en el mercado. Este repositorio sirve como un centro centralizado, que ofrece un extenso catálogo de servidores MCP de código abierto y propietarios, completos con características, enlaces de documentación y colaboradores.
Manipulación basada en Micrypthon I2C del expansor GPIO de la serie MCP, derivada de AdaFruit_MCP230xx
Una puerta de enlace de API unificada para integrar múltiples API de explorador de blockchain similar a Esterscan con soporte de protocolo de contexto modelo (MCP) para asistentes de IA.
Espejo dehttps: //github.com/agentience/practices_mcp_server
Espejo de https: //github.com/bitrefill/bitrefill-mcp-server
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