
limeai mcp server
一个基于 Python 的 LimeAI MCP 服务端实现。
Repository Info
About This Server
一个基于 Python 的 LimeAI MCP 服务端实现。
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
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
curl -LsSf https://astral.sh/uv/install.sh | sh
Windows
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
2. 获取 LimeAI MCP Server
# 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
获取 LIMEAI_ACCESS_TOKEN
- 登录 LimeAI(www.limeai.net) > 个人资料 > 访问令牌
3. 在Cursor中使用
Cursor -> Preferences -> Cursor Settings -> MCP -> Add new global MCP
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
Quick Start
Clone the repository
git clone https://github.com/liuwenlonghub/limeai-mcp-serverInstall dependencies
cd limeai-mcp-server
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
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