Raindrop MCP Server
An MCP server that exposes Raindrop.io's bookmark management API as tools for AI assistants, enabling collection, bookmark, and tag operations.
README
Raindrop MCP Server
An MCP (Model Context Protocol) server that exposes Raindrop.io's bookmark management API as tools for AI assistants.
Features
- Collections: List, create, update, and delete collections with full path support
- Bookmarks: Search, create, update, move, and delete bookmarks
- Tags: List, rename, delete, merge, and add/remove tags on bookmarks
- Stats: Get filter statistics for collections
Prerequisites
- Python 3.12+
- A Raindrop.io account with a Personal Access Token
Getting Your Raindrop API Token
- Log in to Raindrop.io
- Go to Developer Integrations
- Select Create new app and enter an app name
- Click the name of your app and create a test token
- Copy the test token — you'll need it for the
.envfile
Setup
1. Clone and configure
git clone <repository-url>
cd raindrop_mcp_server
2. Create your environment file
cp .env.example .env
Edit .env with your values:
| Variable | Description | Default |
|---|---|---|
RAINDROP_ACCESS_TOKEN |
Required. Access Token | — |
HOST |
Host to bind the MCP server | 0.0.0.0 |
PORT |
Port to bind the MCP server | 8000 |
COLLECTION_CACHE_TTL_SECONDS |
Cache TTL | 86400 |
LOG_LEVEL |
Logging level | INFO |
RAINDROP_API_BASE |
Raindrop API base URL | https://api.raindrop.io/rest/v1 |
3. Install dependencies with uv
uv sync
To install test dependencies as well:
uv sync --all-extras
Running the Server
uv run python app.py
The server starts an MCP endpoint on the configured host and port using the streamable-http transport.
Testing the Server
After starting the server, verify it works with the included test script:
bash test_list_collections.sh
The script reads your .env file, initializes an MCP session, and calls list_collections to confirm the server is responding correctly.
Running Tests
The tests are unit tests that do not contact the live Raindrop API. They require the test extra to be installed:
uv run --all-extras pytest -q
Or with pytest directly after installing:
uv sync --all-extras
uv run pytest -q
Docker
docker build -t raindrop-mcp .
docker run --env-file .env -p 8000:8000 raindrop-mcp
Available Tools
| Tool | Description |
|---|---|
list_collections |
Return all Raindrop collections using full paths |
refresh_collections_cache |
Force a refresh of the cached collection tree |
create_collection |
Create a collection at a full path |
update_collection |
Update a collection (rename, move, change settings) |
delete_collection |
Delete a collection by full path |
list_bookmarks |
Return all bookmarks in a collection |
search_bookmarks |
Search bookmarks by metadata |
get_bookmark |
Get a single bookmark by ID or URL |
create_bookmark |
Create a new bookmark in a collection |
update_bookmark |
Update bookmark metadata |
move_bookmark |
Move a bookmark to another collection |
delete_bookmark |
Delete a bookmark by ID or URL |
list_tags |
Return tag vocabulary, optionally scoped to a collection |
rename_tag |
Rename a tag globally or within a collection |
delete_tag |
Delete a tag globally or within a collection |
merge_tags |
Merge multiple tags into one |
add_tags |
Add tags to a bookmark without removing existing ones |
remove_tags |
Remove tags from a bookmark |
collection_stats |
Return filter counts for a collection or all collections |
License
MIT License. See LICENSE for details.
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