LimeAI MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@LimeAI MCP Server write a haiku about coding"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 | shWindows
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"Related MCP server: MCP Server Sample
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
Available Tools
3 toolsget_user_infoA
获取当前用户信息
Inputs: no named parameters.
save_htmlC
保存 html 代码到 LimeAI
Inputs: html_content (required), file_name.
save_markdownB
保存文本内容(markdown格式)到 LimeAI
Inputs: text_content (required), file_name.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: retrieving user info, saving markdown, and saving HTML. There is no overlap or ambiguity between them.
All tool names follow a consistent verb_noun pattern using snake_case: get_user_info, save_markdown, save_html. The pattern is predictable and uniform.
With just 3 tools, the server is tightly scoped to its apparent purpose of saving content in markdown/HTML and retrieving user info. No unnecessary tools are present, and the count feels appropriate.
Core save workflows for both markdown and HTML are covered, along with user info retrieval. However, there are no tools for list, get, update, or delete saved content, which is a minor gap that agents might need to work around.
Maintenance
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