raindrop-mcp

raindrop-mcp

Enables management of Raindrop.io bookmarks, collections, tags, and highlights via MCP tools, with support for search, bulk editing, and library auditing.

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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-After once on HTTP 429 (Raindrop allows 120 req/min).
  • skipCache parameters are accepted for compatibility but are no-ops — this server doesn't cache.

License

MIT

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