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Glama
sachin-philip

Raindrop.io MCP Server

by sachin-philip
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
RAINDROP_TOKENYesYour Raindrop.io API token from https://developer.raindrop.io/v1/authentication/token

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_latest_feedA

Get latest bookmarks from Raindrop.io feed.

Args:
    count: Number of bookmarks to fetch (default: 10)
add_bookmarkA

Add a new bookmark to Raindrop.io

Args:
    url: The URL to bookmark (required)
    title: Title for the bookmark (optional, will be extracted from URL if not provided)
    description: Description/excerpt for the bookmark (optional)
    tags: List of tags to apply to the bookmark (optional)
    collection_id: ID of the collection to add the bookmark to (default: 0 for Unsorted)
search_by_tagB

Search for bookmarks with a specific tag in Raindrop.io with optional date range filtering

Args:
    tag: The tag to search for (required)
    collection_id: ID of the collection to search in (default: 0 for all collections)
    count: Maximum number of bookmarks to return (default: 10)
    from_date: Start date in YYYY-MM-DD format (optional)
    to_date: End date in YYYY-MM-DD format (optional)
search_bookmarksA

Search for bookmarks by keyword/text in Raindrop.io with optional date range filtering

Args:
    query: The search term to look for in bookmarks (required)
    collection_id: ID of the collection to search in (default: 0 for all collections)
    count: Maximum number of bookmarks to return (default: 10)
    from_date: Start date in YYYY-MM-DD format (optional)
    to_date: End date in YYYY-MM-DD format (optional)

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A3.6/5.0

Scored across 4 tools

Disambiguation5/5

Each tool has a distinct purpose: adding a bookmark, retrieving recent feed, searching by keyword, and searching by tag. No overlap or ambiguity.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern (add_bookmark, get_latest_feed, search_bookmarks, search_by_tag), making them predictable and easy to understand.

Tool Count4/5

With 4 tools, the server is scoped to essential bookmarking operations: add, feed, and search. This is slightly minimal but still reasonable for a basic integration.

Completeness2/5

The tool set lacks update/delete functionality and any way to list bookmarks beyond the feed or search. There is no tool for managing collections, leaving notable gaps for full CRUD operations.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources