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
Basic information
Sticky Note MCP Server is a minimal yet powerful implementation of the **Model Context Protocol (MCP)** built with **FastMCP** in Python.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"sticky-note": {
"command": "uv",
"args": [
"run",
"mcp",
"dev",
"./main.py"
],
"env": {
"OPENAI_API_KEY": "<API_KEY>"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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).

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