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Sticky Note Mcp Server

@aynul-abedin

Repository

About Sticky Note Mcp Server

Sticky Note MCP Server is a minimal yet powerful implementation of the **Model Context Protocol (MCP)** built with **FastMCP** in Python.

#note-taking#productivity#ai-assistant#mcp#task-management

Basic information

Category

Memory & Knowledge

Transports

stdio

Publisher

aynul-abedin

Submitted by

Aynul Abedin

Config

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>"
      }
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Sticky Note Mcp Server?

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.

How to use Sticky Note Mcp Server?

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.

Key features of Sticky Note Mcp Server

  • Structured storage with automatic migration from legacy notes.txt.
  • Tools for creating, listing, searching, updating, deleting, and bulk‑clearing notes.
  • Optional tagging, pinned state, and archived flag per note.
  • Resources exposing the latest note, pinned notes, and aggregate stats.
  • Prompt templates for summarising notes or generating a roadmap by tag.

Use cases of Sticky Note Mcp Server

  • Personal task management with pinning and archiving.
  • Brainstorming and organising ideas by tags.
  • Meeting notes capture and keyword search.
  • Learning tracker with topic‑based tags.
  • Project planning with filtered roadmaps.
  • Daily journaling with AI summarisation.

FAQ from Sticky Note Mcp Server

What is the data storage mechanism?

The server provides structured storage with automatic migration from a legacy notes.txt file. Notes are stored locally.

How do I run the Sticky Note Mcp Server?

Activate your Python environment and run uv run mcp dev ./main.py.

What tools are available?

Tools include add_note, read_notes, list_notes, search_notes, update_note, delete_note, and clear_notes.

Can I filter notes by tags or status?

Yes. Tools support filtering by tags, pinned status, and archived state.

Are there any prompt templates?

Yes, two prompt templates are provided: note_summary_prompt and note_roadmap_prompt (optionally filtered by tag).

Comments

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