raindrop-mcp
Enables management of Raindrop.io bookmarks, collections, tags, and highlights via MCP tools, with support for search, bulk editing, and library auditing.
README
raindrop-mcp
A Raindrop.io MCP server in Python (FastMCP), serving streamable HTTP natively — no stdio↔HTTP bridge needed. Also runs as a plain stdio server for clients that spawn a local process.
Built as a drop-in replacement for
@adeze/raindrop-mcp: the 17 tools keep
the same names, parameters, and required fields, so existing prompts and client
configs keep working. (Two tools differ internally: get_suggestions /
suggest_tags use Raindrop's native suggest endpoint rather than
MCP-sampling-based AI refinement.)
Tools
| Tool | What it does |
|---|---|
collection_list |
All collections, flat |
get_collection_tree |
Collections as a hierarchy with breadcrumb paths |
collection_manage |
Create / update / delete a collection |
cleanup_collections |
Remove empty collections (dry-run unless confirm: true) |
bookmark_search |
Full-text search with tag / domain / type / date / flag filters |
bookmark_manage |
Create / update / delete a bookmark |
get_raindrop |
One bookmark by ID (with highlights) |
list_raindrops |
Bookmarks in a collection, paginated |
bulk_edit_raindrops |
Bulk update / move / remove |
library_audit |
Count (and list) broken links and duplicates |
empty_trash |
Permanently empty Trash (dry-run unless confirm: true) |
remove_duplicates |
Delete same-URL duplicates, keeping the oldest (dry-run by default) |
tag_manage |
Rename / merge / delete tags |
highlight_manage |
Create / update / delete highlights |
get_suggestions |
Suggested tags + collections for a URL or bookmark |
suggest_tags |
Suggested tags for a URL |
diagnostics |
Server/runtime metadata |
Collection IDs: 0 = all, -1 = Unsorted, -99 = Trash. Destructive sweeps
default to a dry run.
Setup
Requires Python ≥ 3.10 and uv.
uv sync
cp config/.env.example config/.env # then paste your token
Get a token at raindrop.io → Settings → Integrations → For Developers →
create an app → Test token. Set it as RAINDROP_ACCESS_TOKEN in
config/.env (or in the process environment, which takes precedence).
Running
Streamable HTTP (network clients — Claude Desktop remote MCP, gateways):
MCP_TRANSPORT=http MCP_PORT=8591 uv run start
# serves http://0.0.0.0:8591/mcp
stdio (clients that spawn the server locally):
uv run start
systemd user unit (example)
[Unit]
Description=Raindrop.io MCP (native FastMCP HTTP)
After=network.target
[Service]
Type=simple
WorkingDirectory=%h/raindrop-mcp
Environment=MCP_TRANSPORT=http
Environment=MCP_HOST=0.0.0.0
Environment=MCP_PORT=8591
ExecStart=%h/raindrop-mcp/.venv/bin/start
MemoryMax=512M
MemorySwapMax=0
Restart=always
RestartSec=5
[Install]
WantedBy=default.target
The server binds 0.0.0.0 in the example — front it with your LAN/VPN
(Tailscale works well); the Raindrop token authorizes every request it serves.
Notes
- Scaffolded with mcp-template.
- Rate limiting: honours
Retry-Afteronce on HTTP 429 (Raindrop allows 120 req/min). skipCacheparameters are accepted for compatibility but are no-ops — this server doesn't cache.
License
MIT
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