LimeAI MCP Server (Python)
Description
# LimeAI MCP Server (Python) ### 环境要求 - Python 3.10 或更高版本。 ## 1. 设置环境 首先，我们来安装`uv`： MacOS/Linux ```bash MacOS/Linux curl -LsSf https://astral.sh/uv/install.sh | sh ``` Windows ```powershell Windows powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 |…
About
# LimeAI MCP Server (Python) ### 环境要求 - Python 3.10 或更高版本。 ## 1. 设置环境 首先，我们来安装`uv`： MacOS/Linux ```bash MacOS/Linux curl -LsSf https://astral.sh/uv/install.sh | sh ``` Windows ```powershell Windows powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex" ``` ## 2. 获取 LimeAI MCP Server ```bash…
Details
- Author
- liuwenlonghub
- Downloads
- 156
- Categories
- Other
Jump to
- Integrates with the LimeAI platform via MCP protocol.
- Requires Python 3.10 or later.
- Uses uv for fast and reliable package management.
- Authenticates using a LimeAI access token.
- Easily configurable in Cursor and other MCP clients.
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
LimeAI MCP Server (Python)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
From the repository
Install uv, clone the official repository, create and activate a virtual environment, then install dependencies with uv add "mcp[cli]" httpx. Obtain a LimeAI access token from your LimeAI account profile. Configure the server in Cursor (or similar MCP clients) by adding a JSON entry with the command uv --directory {YOUR_PATH}/limeai-mcp-server/ run main.py and setting the LIMEAI_ACCESS_TOKEN environment variable.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"limeai mcp server (python)": {
"limeai-mcp-server": {
"command": "uv",
"args": [
"venv"
]
}
}
}
}McpServers
{
"limeai-mcp-server": {
"command": "uv",
"args": [
"venv"
]
}
}LimeAI MCP Server (Python)
环境要求
- Python 3.10 或更高版本。1. 设置环境
首先，我们来安装uv：
MacOS/Linux
``bash MacOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh
powershell Windows Windows
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
2. 获取 LimeAI MCP Server
bash
# LimeAI Mcp Server 官方开源仓库下载
git@github.com:liuwenlonghub/limeai-mcp-server.git
cd limeai-mcp-server
# 创建虚拟环境并激活
uv venv
source .venv/bin/activate
# 安装依赖
uv add "mcp[cli]" httpx
jsonLIMEAI_ACCESS_TOKEN获取
- 登录 LimeAI（www.limeai.net） > 个人资料 > 访问令牌Cursor -> Preferences -> Cursor Settings -> MCP -> Add new global MCP3. 在Cursor中使用
添加以下配置内容（其它MCP客户端类似）：
{
"mcpServers": {
"limeai-mcp-server": {
"command": "uv",
"args": [
"--directory",
"{YOUR_PATH}/limeai-mcp-server/",
"run",
"main.py"
],
"env": {
"LIMEAI_ACCESS_TOKEN": "<USER_LIMEAI_ACCESS_TOKEN>"
}
}
}
}
``
回到配置，此时 LimeAI MCP Server已经启用
Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.
