MCP Notes Server
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., "@MCP Notes Serversearch notes for quantum computing references"
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.
MCP Notes Server
基于 MCP (Model Context Protocol) 的个人笔记管理服务,让 AI Agent 通过标准协议远程读写、搜索和编辑 Markdown 笔记。
功能
工具 | 说明 |
| 创建新笔记 |
| 追加内容(支持自动时间戳) |
| 读取笔记(支持按行范围,返回 mtime 用于冲突检测) |
| 删除笔记 |
| 跨文件关键词搜索,返回上下文 |
| 精确文本替换(支持 mtime 校验) |
| 列出目录内容(支持递归) |
| 自然语言指令编辑(调用 LLM 两步定位+操作) |
Related MCP server: Knowledge Base MCP Server
特性
Bearer Token 鉴权 — HTTP 模式下强制 Token 验证,stdio 模式自动跳过
路径安全 — 防止目录穿越,排除敏感目录(password、config 等)和指定文件
冲突检测 — 写操作支持
expected_mtime校验,防止多 Agent 基于过期内容误操作;写操作返回新 mtime 供后续使用LLM 智能编辑 —
smart_edit通过 Kimi 大模型理解自然语言指令,两步执行:先定位目标内容,再精确操作
快速开始
环境准备
# Python 3.11+
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt配置
cp config/.env.example config/.env
# 编辑 config/.env,填入你的 API Key 和 Token各字段说明见 config/.env.example。
启动
# stdio 模式(本地 Agent 直连,无需鉴权)
python mcp_server.py
# HTTP 模式(远程访问)
python mcp_server.py --transport http --port 8765客户端连接
stdio 模式(推荐本地使用):
Agent 客户端以子进程方式自动拉起 server,通过 stdin/stdout 管道通信,无需手动启动服务。
在 Claude Desktop、Cursor 等支持 MCP 的客户端中配置:
{
"mcpServers": {
"notes": {
"command": "python",
"args": ["/path/to/mcp_server.py"]
}
}
}或在代码中使用 fastmcp Client:
from fastmcp import Client
async with Client("mcp_server.py") as client:
result = await client.call_tool("list_notes", {"directory": ""})
print(result[0].text)更多示例见 tests/test_client_stdio.py。
HTTP 模式(远程访问):
需要先手动启动服务,Agent 通过网络调用:
curl -X POST http://127.0.0.1:8765/mcp \
-H "Authorization: Bearer your-secret-token" \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","method":"initialize","id":1,"params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}'安全机制
目录隔离:
.venv、config、__pycache__、.git、password目录不可访问文件黑名单:
work/账号密码相关数据.md等敏感文件被明确排除路径穿越防护:所有路径操作经过
resolve()校验,禁止..逃逸Token 鉴权:HTTP 模式必须携带
Authorization: Bearer <token>
冲突检测机制
Agent A: read_note("file.md") → 返回 mtime: 1751529600.123
Agent A: replace_in_note(..., expected_mtime=1751529600.123) → ✅ 成功,返回新 mtime: 1751529605.456
Agent B: replace_in_note(..., expected_mtime=1751529600.123) → ⚠️ 被拦截,提示重新读取依赖
FastMCP >= 3.4.0 — MCP 协议实现
OpenAI Python SDK >= 2.0.0 — LLM 调用
python-dotenv >= 1.0.0 — 环境变量管理
内网穿透(可选)
如需从公网访问,可自行搭建内网穿透。以 frp 为例:
下载 frpc 放到项目目录
配置
frpc.toml:
serverAddr = "your-server-ip"
serverPort = 9000
[[proxies]]
name = "mcp-server"
type = "tcp"
localIP = "127.0.0.1"
localPort = 8765
remotePort = 8765启动时加
--frpc自动拉起 frpc:
python mcp_server.py --transport http --port 8765 --frpc也可手动单独启动 frpc,不依赖本服务管理。
License
MIT
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