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Nextcloud Mcp Server
What is Nextcloud Mcp Server
Nextcloud MCP Server is a server that enables Large Language Models (LLMs) such as OpenAI’s GPT, Google’s Gemini, or Anthropic’s Claude to interact with a Nextcloud instance, facilitating automation of various actions within Nextcloud, starting with the Notes API.
Use cases
Use cases include automating note-taking processes, integrating LLMs for enhanced note management, and facilitating collaborative projects where notes need to be shared and updated frequently.
How to use
To use Nextcloud MCP Server, clone the repository, install the required packages, and configure your Nextcloud credentials in a .env file. You can run the server locally or use the pre-built Docker image.
Key features
Key features include the ability to create, update, and delete notes via the Nextcloud Notes API. It also provides access to specific notes, all notes, note settings, and server capabilities.
Where to use
Nextcloud MCP Server can be used in any environment where Nextcloud is deployed, particularly in collaborative workspaces, educational institutions, and organizations that require efficient note management.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Nextcloud Mcp Server
Nextcloud MCP Server is a server that enables Large Language Models (LLMs) such as OpenAI’s GPT, Google’s Gemini, or Anthropic’s Claude to interact with a Nextcloud instance, facilitating automation of various actions within Nextcloud, starting with the Notes API.
Use cases
Use cases include automating note-taking processes, integrating LLMs for enhanced note management, and facilitating collaborative projects where notes need to be shared and updated frequently.
How to use
To use Nextcloud MCP Server, clone the repository, install the required packages, and configure your Nextcloud credentials in a .env file. You can run the server locally or use the pre-built Docker image.
Key features
Key features include the ability to create, update, and delete notes via the Nextcloud Notes API. It also provides access to specific notes, all notes, note settings, and server capabilities.
Where to use
Nextcloud MCP Server can be used in any environment where Nextcloud is deployed, particularly in collaborative workspaces, educational institutions, and organizations that require efficient note management.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Nextcloud MCP Server
The Nextcloud MCP (Model Context Protocol) server allows Large Language Models (LLMs) like OpenAI’s GPT, Google’s Gemini, or Anthropic’s Claude to interact with your Nextcloud instance. This enables automation of various Nextcloud actions, starting with the Notes API.
Features
Currently, the server primarily interacts with the Nextcloud Notes API, providing tools and resources to manage notes.
Available Tools
nc_notes_create_note: Create a new note.nc_notes_update_note: Update an existing note by ID.nc_notes_append_content: Append content to an existing note with a clear separator.nc_notes_delete_note: Delete a note by ID.nc_notes_search_notes: Search notes by title or content.nc_get_note: Get a specific note by ID.
Available Resources
notes://{note_id}: Access a specific note by its ID.notes://all: Access all notes.notes://settings: Access note settings.nc://capabilities: Access Nextcloud server capabilities.nc://Notes/{note_id}/attachments/{attachment_filename}: Access attachments for notes.
Note Attachments
This server supports adding and retrieving note attachments via WebDAV. Please note the following behavior regarding attachments:
- When a note is deleted, its attachments remain in the system. This matches the behavior of the official Nextcloud Notes app.
- Orphaned attachments (attachments whose parent notes have been deleted) may accumulate over time.
- WebDAV permissions must be properly configured for attachment operations to work correctly.
Installation
Prerequisites
- Python 3.8+
- Access to a Nextcloud instance
Local Installation
- Clone the repository (if running from source):
git clone https://github.com/cbcoutinho/nextcloud-mcp-server.git cd nextcloud-mcp-server - Install the package (if running as a library):
poetry install
Docker
A pre-built Docker image is available: ghcr.io/cbcoutinho/nextcloud-mcp-server
Configuration
The server requires credentials to connect to your Nextcloud instance. Create a file named .env (or any name you prefer) in the directory where you’ll run the server, based on the env.sample file:
# .env NEXTCLOUD_HOST=https://your.nextcloud.instance.com NEXTCLOUD_USERNAME=your_nextcloud_username NEXTCLOUD_PASSWORD=your_nextcloud_app_password_or_login_password
NEXTCLOUD_HOST: The full URL of your Nextcloud instance.NEXTCLOUD_USERNAME: Your Nextcloud username.NEXTCLOUD_PASSWORD: Important: It is highly recommended to use a dedicated Nextcloud App Password for security. You can generate one in your Nextcloud Security settings. Alternatively, you can use your regular login password, but this is less secure.
Running the Server
Locally
Ensure your environment variables are loaded, then run the server using mcp run:
# Load environment variables from your .env file
export $(grep -v '^#' .env | xargs)
# Run the server
mcp run --transport sse nextcloud_mcp_server.server:mcp
The server will start, typically listening on http://0.0.0.0:8000.
Using Docker
Mount your environment file when running the container:
docker run -p 127.0.0.1:8000:8000 --env-file .env --rm ghcr.io/cbcoutinho/nextcloud-mcp-server:latest
This will start the server and expose it on port 8000 of your local machine.
Usage
Once the server is running, you can connect to it using an MCP client like uvx. Add the server to your uvx configuration:
uvx mcp add nextcloud-mcp http://localhost:8000 --default-transport sse
You can then interact with the server’s tools and resources through your LLM interface connected to uvx.
References:
Contributing
Contributions are welcome! Please feel free to submit issues or pull requests on the GitHub repository.
License
This project is licensed under the MIT License. See the LICENSE file for details.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.











