mcp-notes
Language:
Python
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6
Forks:
4
MCP Notes Server
A Model Context Protocol (MCP) server implementation for managing notes with persistent storage.
Features
- Create, read, update, and delete notes
- Persistent storage using JSON
- Timestamp tracking for creation and modifications
- Note summarization via prompts
- Resource-based access using note:// URI scheme
Installation
Installing via Smithery
To install notes for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install notes --client claude
Manual Installation
- Ensure you have Python 3.10 or later installed
- Create a virtual environment:
python -m venv .venv # On Unix/MacOS: source .venv/bin/activate # On Windows: .venv\Scripts\activate
- Install requirements:
pip install MCP
Project Structure
notes/
├── __init__.py # Package initialization
├── server.py # Main server implementation
├── storage.py # Note persistence layer
├── resources.py # Resource handling (note:// URIs)
├── prompts.py # LLM prompt generation
└── tools/ # Server tools
├── __init__.py # Tools package initialization
├── list_tools.py # Tool listing functionality
└── handle_tools.py # Tool handling implementation
Available Tools
add-note
: Create a new notelist-all-notes
: Display all stored notesupdate-note
: Modify an existing notedelete-note
: Remove a note
Usage
-
Start the server:
mcp install src/notes mcp start Notes
-
Example operations:
# Create a note await client.call_tool("add-note", { "name": "example", "content": "This is a test note" }) # List all notes await client.call_tool("list-all-notes") # Update a note await client.call_tool("update-note", { "name": "example", "content": "Updated content" }) # Delete a note await client.call_tool("delete-note", { "name": "example" })
Storage
Notes are stored in notes_storage.json
with the following structure:
{
"note_name": {
"content": "Note content",
"created_at": "2025-01-12T11:28:16.721704",
"modified_at": "2025-01-12T11:28:16.721704"
}
}
Resource Access
Notes can be accessed as resources using the note://
URI scheme:
- List resources: Returns all available notes as resources
- Read resource: Access a specific note using
note://internal/note_name
Prompt Generation
The server includes a prompt generation feature for note summarization:
- Supports both brief and detailed summaries
- Formats notes for language model input
- Available via the "summarize-notes" prompt
Development
To modify or extend the server:
- Clone the repository
- Install development dependencies
- Make changes in the appropriate module
- Test thoroughly before deploying
Testing
Tests should cover:
- Basic CRUD operations
- Multiple note handling
- Error cases
- Resource access
- Prompt generation
License
[Add your license here]
Publisher info
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