Click on "Install 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., "@temp-notes append a reminder to check the database schema tomorrow"
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.
一个为AI代理提供跨对话临时信息存储与检索的轻量级服务，支持复杂任务分步处理。 A lightweight service that provides cross conversation temporary information storage and retrieval for AI agents, supporting step-by-step processing of complex tasks.## 工具列表 Tool List
本MCP服务封装下列工具，可让模型通过标准化接口调用以下功能。 本MCP服务封装下列工具，可让模型通过标准化接口调用以下功能。
工具 Tool | 描述 Description |
clear_note | Clears the current note, making it empty. |
write_note | Replaces the current note with a new string. |
read_note | Returns the current content of the note. |
append_note | Appends new text to the current note, starting with a new line. Optionally includes a separator line. |
工具在线测试： https://mcp.xiaobenyang.com/inspector/1777316659784707
Online Tool test https://mcp.xiaobenyang.com/inspector/1777316659784707
Related MCP server: Agent Memory MCP Server
如何获取 XBY-APIKEY ？ How to get XBY-APIKEY ?
访问小笨羊科技网站 https://xiaobenyang.com，注册用户即可获得APIKEY Visit XiaoBenYang website https://xiaobenyang.com, register and get the APIKEY.
{
"mcpServers": {
"临时笔记存储服务": {
"headers": {
"XBY-APIKEY": "<YOUR_XBY_APIKEY>"
},
"type": "sse",
"url": "https://mcp.xiaobenyang.com/1777316659784707/sse"
}
}
}{
"mcpServers": {
"临时笔记存储服务": {
"headers": {
"XBY-APIKEY": "<YOUR_XBY_APIKEY>"
},
"type": "streamable_http",
"url": "https://mcp.xiaobenyang.com/1777316659784707/mcp"
}
}
}{
"mcpServers": {
"临时笔记存储服务": {
"command": "npx",
"args": [
"-y",
"xiaobenyang-mcp"
],
"env": {
"XBY_APIKEY": "<YOUR_XBY_APIKEY>",
"mcpId": "1777316659784707",
},
"transport": "stdio"
}
}
}
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Persistent memory for AI agents — verbatim conversations, searchable by meaning.
Durable agent-to-agent handoffs and shared scratchpad for multi-agent workflows.
Universal memory for AI agents and tools. Save, organize and search context anywhere.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/xiaobenyang-com/1777316659784707'
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