The Joplin MCP Server is a FastMCP-based Model Context Protocol server that allows AI assistants to interact with Joplin notes, notebooks, and tags through a standardized interface using the Python API joppy.
From the registry: FastMCP server exposing Joplin notes, notebooks, tags, and imports.
$ pip install uvhttps://github.com/astral-sh/uvPlease install the `joplin-mcp` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Enable Joplin Web Clipper** — In Joplin Desktop: Tools → Options → Web Clipper → enable service and copy the authorization token. (https://joplinapp.org/)
- **Install uv (for uvx)** — Install uv toolchain to run via uvx. Run: `pip install uv` (https://github.com/astral-sh/uv)
Canonical MCP server config (stdio transport):
- command: `uvx`
- args: ["--from","joplin-mcp","joplin-mcp-server"]
- required environment variables:
- `JOPLIN_TOKEN`: Joplin Web Clipper authorization token. (example: `<your-joplin-token>`)
Note: An automated installer `joplin-mcp-install` is provided as well. Defaults assume Joplin is running locally on port 41184.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.JOPLIN_TOKENrequiredYour Joplin API authentication token.Provide your AI coding tools with token-efficient access to up-to-date technical documentation for…