What is the data storage mechanism?
The server provides structured storage with automatic migration from a legacy `notes.txt` file. Notes are stored locally.
@aynul-abedin
基本信息
Sticky Note MCP Server is a minimal yet powerful implementation of the **Model Context Protocol (MCP)** built with **FastMCP** in Python.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"sticky-note": {
"command": "uv",
"args": [
"run",
"mcp",
"dev",
"./main.py"
],
"env": {
"OPENAI_API_KEY": "<API_KEY>"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A demo MCP server built with FastMCP that transforms a simple sticky-note list into a structured note system with tagging, pinning, archiving, and summarisation helpers. It is intended for use by MCP-compatible clients that need note management capabilities.
Activate your Python environment and launch the server with uv run mcp dev ./main.py. From an MCP-compatible client, point to the generated manifest or directly invoke the tools, resources, and prompts exposed by the server.
notes.txt.The server provides structured storage with automatic migration from a legacy `notes.txt` file. Notes are stored locally.
Activate your Python environment and run `uv run mcp dev ./main.py`.
Tools include `add_note`, `read_notes`, `list_notes`, `search_notes`, `update_note`, `delete_note`, and `clear_notes`.
Yes. Tools support filtering by tags, pinned status, and archived state.
Yes, two prompt templates are provided: `note_summary_prompt` and `note_roadmap_prompt` (optionally filtered by tag).

The official Semantic-UI-React integration
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors

Islamic source data for assistants: Quran, hadith, tafsir, duas, prayer times and qibla. Answers come from real sources with citations instead of recalled text, so verses and hadith are not hallucinated. 36,000+ hadiths

Model Context Protocol Servers

AI agents start every session with amnesia — you re-explain the project, repeat your preferences, and correct the same mistakes over and over. PLUR gives them a memory that persists. Your agent's corrections, preference
评论