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 ServerAdd a note: buy groceries this evening"
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
A minimal Model Context Protocol server, built from scratch in Python, that exposes a simple note-taking tool set to any MCP-compatible client (Claude Desktop, the MCP Inspector, a custom agent, etc).
Built as a from-scratch, non-toy example of all three MCP primitives — tools, a resource, and prompts — in one small, readable project.
What it does
add_note(title, content)— save a new notelist_notes()— list all saved note titlessearch_notes(keyword)— search notes by title or contentdelete_note(title)— delete a note by exact titlenotes://all— a resource exposing every note as readable markdownsummarize_notes— a prompt that generates a ready-made "summarize all my notes" messageclean_up_note— a prompt that turns rough pasted text into a clean, titled note
Notes are persisted to a local notes_data.json file (created automatically on
first run).
Related MCP server: sourcify-context-server
Project structure
store.py # data layer — save/load/search notes (plain Python, no MCP code)
prompts.py # reusable prompt templates (plain strings with placeholders)
app.py # the MCP server itself — wires store.py and prompts.py into
# MCP tools, a resource, and prompts using MCPServerRequirements
Python 3.10+
The official
mcpPython SDK, v2.x
Setup
git clone https://github.com/<your-username>/mcp-notes-server.git
cd mcp-notes-server
pip install -r requirements.txtRunning it
Quick test with the built-in inspector (a browser UI for calling tools without a full client):
mcp dev app.pyThis opens a browser tab where you can call each tool, read the resource, and run the prompts directly.
Connect it to Claude Desktop — add this to your Claude Desktop MCP config (adjust the path to wherever you cloned this repo):
{
"mcpServers": {
"notes": {
"command": "python",
"args": ["/absolute/path/to/mcp-notes-server/app.py"]
}
}
}Restart Claude Desktop, and it will be able to call these tools, read the resource, and offer the prompts directly inside a normal conversation.
Why it's built this way
store.py knows nothing about MCP — it's just a plain Python class that reads
and writes a JSON file. app.py is a thin protocol wrapper on top of it. That
separation is the one pattern worth taking away from this example: keep your
actual logic MCP-agnostic, and wrap it at the edges. Swap NoteStore for a
real database and nothing about the MCP layer has to change.
License
MIT — do whatever you want with this.
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Connectors
- TaprootOAuthcom.taproothq
Persistent memory layer for AI tools. Save and recall notes across Claude and other MCP clients.
Google Keep-style notes app with an MCP server for AI agents to read/write notes.
MCP-native notes and memory for ChatGPT, Claude, and other AI tools.
Markdown-based note-taking with a hosted MCP server. Your notes serve you and your AI.
Related MCP Servers
- -licenseNot gradedqualityNot gradedmaintenanceA simple notes system that allows creating, storing, and accessing text notes through MCP resources and tools, with built-in prompt support for generating summaries of stored notes.-
- FlicenseNot gradedqualityDmaintenanceA simple notes MCP server that enables creating, listing, and summarizing text notes via resources, tools, and prompts.-
- AlicenseNot gradedqualityCmaintenanceEnables MCP clients to access and manage a personal markdown knowledge base stored in Cloudflare R2. Provides tools for listing, reading, writing, searching (full-text and semantic), and following backlinks between notes.72MIT
- AlicenseNot gradedqualityAmaintenanceEnables LLM clients to read, search, create, update, and delete notes in a self-hosted shared memory bank over MCP, using hybrid vector and full-text search with optional summarization.2MIT