Higress AI Search

by cr7258

5 stars

3.6k downloads

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GitHub

About

Enhances AI model responses with real-time search results from various engines through Higress ai-search, supporting internet, academic, and internal knowledge searches.

Details

Author: cr7258
Repository: cr7258/higress-ai-search-mcp-server
GitHub stars: 5
Downloads: 3,614
License: Apache License 2.0
Categories: Search, AI, Other, Design, Developer Tools, Infrastructure, Knowledge Base, Frontend

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below
Plugin Name Higress AI Search

Command (node, npx, python, etc.) uvx
Arguments
- Argument 1 higress-ai-search-mcp-server
Environment
- MODEL qwen-turbo
- HIGRESS_URL http://localhost:8080/v1/chat/completions
- INTERNAL_KNOWLEDGE_BASES Employee handbook, company policies, internal process documents
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "higress ai search": {
            "env": {
                "MODEL": "qwen-turbo",
                "HIGRESS_URL": "http://localhost:8080/v1/chat/completions",
                "INTERNAL_KNOWLEDGE_BASES": "Employee handbook, company policies, internal process documents"
            },
            "args": [
                "higress-ai-search-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "higress ai search": {
            "env": {
                "MODEL": "qwen-turbo",
                "HIGRESS_URL": "http://localhost:8080/v1/chat/completions",
                "INTERNAL_KNOWLEDGE_BASES": "Employee handbook, company policies, internal process documents"
            },
            "args": [
                "higress-ai-search-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "higress ai search": {
            "env": {
                "MODEL": "qwen-turbo",
                "HIGRESS_URL": "http://localhost:8080/v1/chat/completions",
                "INTERNAL_KNOWLEDGE_BASES": "Employee handbook, company policies, internal process documents"
            },
            "args": [
                "higress-ai-search-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "higress ai search": {
            "env": {
                "MODEL": "qwen-turbo",
                "HIGRESS_URL": "http://localhost:8080/v1/chat/completions",
                "INTERNAL_KNOWLEDGE_BASES": "Employee handbook, company policies, internal process documents"
            },
            "args": [
                "higress-ai-search-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "higress ai search": {
            "env": {
                "MODEL": "qwen-turbo",
                "HIGRESS_URL": "http://localhost:8080/v1/chat/completions",
                "INTERNAL_KNOWLEDGE_BASES": "Employee handbook, company policies, internal process documents"
            },
            "args": [
                "higress-ai-search-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "higress ai search": {
            "env": {
                "MODEL": "qwen-turbo",
                "HIGRESS_URL": "http://localhost:8080/v1/chat/completions",
                "INTERNAL_KNOWLEDGE_BASES": "Employee handbook, company policies, internal process documents"
            },
            "args": [
                "higress-ai-search-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "higress ai search": {
            "env": {
                "MODEL": "qwen-turbo",
                "HIGRESS_URL": "http://localhost:8080/v1/chat/completions",
                "INTERNAL_KNOWLEDGE_BASES": "Employee handbook, company policies, internal process documents"
            },
            "args": [
                "higress-ai-search-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "higress ai search": {
            "env": {
                "MODEL": "qwen-turbo",
                "HIGRESS_URL": "http://localhost:8080/v1/chat/completions",
                "INTERNAL_KNOWLEDGE_BASES": "Employee handbook, company policies, internal process documents"
            },
            "args": [
                "higress-ai-search-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "higress ai search": {
            "env": {
                "MODEL": "qwen-turbo",
                "HIGRESS_URL": "http://localhost:8080/v1/chat/completions",
                "INTERNAL_KNOWLEDGE_BASES": "Employee handbook, company policies, internal process documents"
            },
            "args": [
                "higress-ai-search-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "higress ai search": {
            "env": {
                "MODEL": "qwen-turbo",
                "HIGRESS_URL": "http://localhost:8080/v1/chat/completions",
                "INTERNAL_KNOWLEDGE_BASES": "Employee handbook, company policies, internal process documents"
            },
            "args": [
                "higress-ai-search-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "higress ai search": {
            "env": {
                "MODEL": "qwen-turbo",
                "HIGRESS_URL": "http://localhost:8080/v1/chat/completions",
                "INTERNAL_KNOWLEDGE_BASES": "Employee handbook, company policies, internal process documents"
            },
            "args": [
                "higress-ai-search-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "higress ai search": {
            "env": {
                "MODEL": "qwen-turbo",
                "HIGRESS_URL": "http://localhost:8080/v1/chat/completions",
                "INTERNAL_KNOWLEDGE_BASES": "Employee handbook, company policies, internal process documents"
            },
            "args": [
                "higress-ai-search-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "higress ai search": {
            "env": {
                "MODEL": "qwen-turbo",
                "HIGRESS_URL": "http://localhost:8080/v1/chat/completions",
                "INTERNAL_KNOWLEDGE_BASES": "Employee handbook, company policies, internal process documents"
            },
            "args": [
                "higress-ai-search-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "higress ai search": {
            "env": {
                "MODEL": "qwen-turbo",
                "HIGRESS_URL": "http://localhost:8080/v1/chat/completions",
                "INTERNAL_KNOWLEDGE_BASES": "Employee handbook, company policies, internal process documents"
            },
            "args": [
                "higress-ai-search-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "higress ai search": {
            "env": {
                "MODEL": "qwen-turbo",
                "HIGRESS_URL": "http://localhost:8080/v1/chat/completions",
                "INTERNAL_KNOWLEDGE_BASES": "Employee handbook, company policies, internal process documents"
            },
            "args": [
                "higress-ai-search-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

From the repository

Install via uvx (automatic install from PyPI) or clone the repository and use uv locally. Configure environment variables: HIGRESS_URL (optional, default http://localhost:8080/v1/chat/completions), MODEL (required), and INTERNAL_KNOWLEDGE_BASES (optional). Add the server configuration to your MCP client (e.g., Cline or Claude Desktop) with the appropriate command and args.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "higress ai search": {
            "env": {
                "MODEL": "qwen-turbo",
                "HIGRESS_URL": "http://localhost:8080/v1/chat/completions",
                "INTERNAL_KNOWLEDGE_BASES": "Employee handbook, company policies, internal process documents"
            },
            "args": [
                "higress-ai-search-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

Linux

{
    "env": {
        "MODEL": "qwen-turbo",
        "HIGRESS_URL": "http://localhost:8080/v1/chat/completions",
        "INTERNAL_KNOWLEDGE_BASES": "Employee handbook, company policies, internal process documents"
    },
    "args": [
        "higress-ai-search-mcp-server"
    ],
    "command": "uvx"
}

Macos

{
    "env": {
        "MODEL": "qwen-turbo",
        "HIGRESS_URL": "http://localhost:8080/v1/chat/completions",
        "INTERNAL_KNOWLEDGE_BASES": "Employee handbook, company policies, internal process documents"
    },
    "args": [
        "higress-ai-search-mcp-server"
    ],
    "command": "uvx"
}

Windows

{
    "env": {
        "MODEL": "qwen-turbo",
        "HIGRESS_URL": "http://localhost:8080/v1/chat/completions",
        "INTERNAL_KNOWLEDGE_BASES": "Employee handbook, company policies, internal process documents"
    },
    "args": [
        "higress-ai-search-mcp-server"
    ],
    "command": "uvx"
}

Provides an AI search tool to enhance AI model responses with real-time search results from various search engines using the Higress ai-search feature.

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 throughHigress ai-searchfeature.

https://github.com/user-attachments/assets/60a06d99-a46c-40fc-b156-793e395542bb

https://github.com/user-attachments/assets/5c9e639f-c21c-4738-ad71-1a88cc0bcb46

- Internet Search: Google, Bing, Quark - for general web information
- Academic Search: Arxiv - for scientific papers and research
- Internal Knowledge Search

- uvfor package installation.
- Config Higress with ai-searchplugin and ai-proxyplugin.

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.

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" } } } }

This project is licensed under the MIT License - see theLICENSEfile for details.

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Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

Linux

Macos

Windows

Option 2: Using uv with local development

Install

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