Joplin MCP Server
Allows interaction with the Joplin knowledge manager, providing tools for searching, retrieving, and managing notes, notebooks, and tags through the Joplin API.
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., "@Joplin MCP Serversearch for notes about MCP protocol"
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.
Joplin MCP Server
MCP server that provides standardized tools for querying and retrieving notes from Joplin personal knowledge manager through its API, enabling AI assistants to access and reference personal notes contextually.
Features
MCP Protocol Compliance: Standardized interface for AI assistant integration
Joplin API Integration: Direct connection to local or remote Joplin instances
Search Capabilities: Full-text search across notes, titles, and tags
Note Retrieval: Complete note content and metadata access
Notebook Navigation: Hierarchical notebook structure exploration
Rate Limiting: Respects Joplin API constraints
Error Handling: Graceful degradation during connection failures
Installation
# Install from source
pip install -e .
# Install with development dependencies
pip install -e ".[dev]"Configuration
Configure via environment variables:
export JOPLIN_API_URL="http://localhost:41184"
export JOPLIN_API_TOKEN="your-api-token-here"
export MCP_SERVER_PORT="3000"Or create a .env file in the project root.
Usage
# Start the MCP server
joplin-mcp-server --port 3000
# With config file
joplin-mcp-server --config-file config.jsonDevelopment
# Setup development environment
python -m venv venv
source venv/bin/activate # or venv\Scripts\activate on Windows
pip install -e ".[dev]"
# Install pre-commit hooks
pre-commit install
# Run tests
pytest
# Run linting
ruff check .
mypy src/License
MIT
This server cannot be installed
Resources
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