Integrations
Provides academic search capabilities for scientific papers and research
Allows searching for general web information through Google search engine
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.
Option 2: Using uv with local development
Using uv requires cloning the repository locally and specifying the path to the source code.
License
This project is licensed under the MIT License - see the LICENSE file for details.
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remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Tools
A Model Context Protocol server that enables AI models to perform real-time internet and knowledge searches through Higress, enhancing model responses with up-to-date information from Google, Bing, Arxiv, and internal knowledge bases.
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