mcp-server-hai

by x-challenger

115 downloads

Not rated

GitHub

Other

Description

About

Details

Author: x-challenger
Downloads: 115
Categories: Other

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 mcp-server-hai

Command (node, npx, python, etc.)

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": {
        "mcp-server-hai": {
            "mcp-server-hai": {
                "command": "uv",
                "args": [
                    "init",
                    "example-project",
                    "#",
                    "init",
                    "your",
                    "project"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-server-hai": {
            "mcp-server-hai": {
                "command": "uv",
                "args": [
                    "init",
                    "example-project",
                    "#",
                    "init",
                    "your",
                    "project"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-server-hai": {
            "mcp-server-hai": {
                "command": "uv",
                "args": [
                    "init",
                    "example-project",
                    "#",
                    "init",
                    "your",
                    "project"
                ]
            }
        }
    }
}

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": {
        "mcp-server-hai": {
            "mcp-server-hai": {
                "command": "uv",
                "args": [
                    "init",
                    "example-project",
                    "#",
                    "init",
                    "your",
                    "project"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-server-hai": {
            "mcp-server-hai": {
                "command": "uv",
                "args": [
                    "init",
                    "example-project",
                    "#",
                    "init",
                    "your",
                    "project"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-server-hai": {
            "mcp-server-hai": {
                "command": "uv",
                "args": [
                    "init",
                    "example-project",
                    "#",
                    "init",
                    "your",
                    "project"
                ]
            }
        }
    }
}

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": {
        "mcp-server-hai": {
            "mcp-server-hai": {
                "command": "uv",
                "args": [
                    "init",
                    "example-project",
                    "#",
                    "init",
                    "your",
                    "project"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-server-hai": {
            "mcp-server-hai": {
                "command": "uv",
                "args": [
                    "init",
                    "example-project",
                    "#",
                    "init",
                    "your",
                    "project"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-server-hai": {
            "mcp-server-hai": {
                "command": "uv",
                "args": [
                    "init",
                    "example-project",
                    "#",
                    "init",
                    "your",
                    "project"
                ]
            }
        }
    }
}

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": {
        "mcp-server-hai": {
            "mcp-server-hai": {
                "command": "uv",
                "args": [
                    "init",
                    "example-project",
                    "#",
                    "init",
                    "your",
                    "project"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-server-hai": {
            "mcp-server-hai": {
                "command": "uv",
                "args": [
                    "init",
                    "example-project",
                    "#",
                    "init",
                    "your",
                    "project"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-server-hai": {
            "mcp-server-hai": {
                "command": "uv",
                "args": [
                    "init",
                    "example-project",
                    "#",
                    "init",
                    "your",
                    "project"
                ]
            }
        }
    }
}

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": {
        "mcp-server-hai": {
            "mcp-server-hai": {
                "command": "uv",
                "args": [
                    "init",
                    "example-project",
                    "#",
                    "init",
                    "your",
                    "project"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-server-hai": {
            "mcp-server-hai": {
                "command": "uv",
                "args": [
                    "init",
                    "example-project",
                    "#",
                    "init",
                    "your",
                    "project"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-server-hai": {
            "mcp-server-hai": {
                "command": "uv",
                "args": [
                    "init",
                    "example-project",
                    "#",
                    "init",
                    "your",
                    "project"
                ]
            }
        }
    }
}

From the repository

Install via uvx (automatically in Cline) or locally with uv add mcp-server-hai. Configure Cline by adding the server to cline_mcp_setting.json with the required environment variables TENCENTCLOUD_SECRET_ID and TENCENTCLOUD_SECRET_KEY. Run directly with uvx mcp-server-hai.

Claude Desktop / Cursor

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

{
    "mcpServers": {
        "mcp-server-hai": {
            "mcp-server-hai": {
                "command": "uv",
                "args": [
                    "init",
                    "example-project",
                    "#",
                    "init",
                    "your",
                    "project"
                ]
            }
        }
    }
}

McpServers

{
    "mcp-server-hai": {
        "command": "uv",
        "args": [
            "init",
            "example-project",
            "#",
            "init",
            "your",
            "project"
        ]
    }
}

# mcp-server-hai A MCP server implementation for Tencent HAI (Hyper Application Inventor) services ## Installation ### Cline if you are using cline, no installation is needed, the installation is automatically executed by uvx. ### Local install ```bash uv init example-project # init your project uv add mcp-server-hai # download and install the package on PYPI uv run mcp-server-hai # run the package ``` ## Usage ### Using in Cline open your cline setting file: `cline_mcp_setting.json` add mcp-server-hai configuration to mcpServers as follows: ```json { "mcpServers": { "mcp-server-hai": { "command": "uvx", "args": [ "mcp-server-hai@latest" // make sure you have installed the latest version, to use a specific version, use mcp-server-hai@version instead ], "env": { "TENCENTCLOUD_SECRET_ID": "YOUR_SECRET_ID_HERE", "TENCENTCLOUD_SECRET_KEY": "YOUR_SECRET_KEY_HERE" }, "transportType": "stdio" } } } ``` Then you can find the mcp server named mcp-server-hai in cline, enjoy ;) ### Directly run the server ```bash uvx mcp-server-hai ``` Environment variables required: - TENCENTCLOUD_SECRET_ID: Your Tencent Cloud secret ID - TENCENTCLOUD_SECRET_KEY: Your Tencent Cloud secret key ## Features - Create, start, stop and remove HAI instances - Query instance information and network status - Get available regions and instance types ## Development Install development dependencies: ```bash uv sync ``` ## Publishing Build and publish to PYPI: ```bash uv add build twine uv run python -m build uv run twine upload dist/*

No reviews yet — be the first

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.

Description

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

Install

More like this

Sequential Thinking

Filesystem

EverArt

Google Drive

Reactive Resume

Sequential Thinking