raindrop-mcp: Instructions file for Gemini CLI

GEMINI.md

raindrop-mcp GEMINI.md is an instructions file for Gemini CLI from adeze/raindrop-mcp. It costs 1,171 tokens per session, scanned A, original, MIT.

Project instructions for a TypeScript server that lets AI assistants manage Raindrop.io bookmarks, collections, tags, and highlights. Raindrop.io is a service for saving and organizing bookmarks; the server can communicate through local input/output or web connections.

In plain words
What is it for?
Use them when changing bookmark operations, API communication, authentication, transport modes, validation, or tests.
Why use it?
They explain the project’s architecture, technologies, entry points, and testing commands so an agent can work in the right places.

Instructions file for Gemini CLI

Written for Gemini CLI: the file is GEMINI.md.

This is adeze/raindrop-mcp's own configuration. It tells Gemini CLI how to work on raindrop-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything raindrop-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to adeze/raindrop-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/adeze/raindrop-mcp/master/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/adeze/raindrop-mcp

Made for: Gemini CLI.

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Per session 1,171 This file is loaded in full into every session.
When invoked 1,171 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.01171 $0.01171
Opus 5.5 $0.00468 $0.00468
Sonnet 5.5 $0.00234 $0.00234
Haiku 4.5 $0.00117 $0.00117

Measured 10d ago against content hash d54a967e3518, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

raindrop-mcp GEMINI.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

GEMINI.md · 119 lines

How it starts

The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Raindrop MCP Server - Project Context

Project Overview

This project is a Model Context Protocol (MCP) server for Raindrop.io, a bookmark management service. It allows AI assistants (like Claude or Gemini) to interact with a user's Raindrop bookmarks, collections, tags, and highlights using natural language.

The server supports both STDIO (standard input/output) and HTTP/SSE (Server-Sent Events) transports, making it compatible with various MCP clients including Claude Desktop and custom integrations.

Core Technologies

  • Runtime: Bun (primary) / Node.js
  • Language: TypeScript
  • Frameworks:
    • @modelcontextprotocol/sdk: For MCP protocol implementation.
    • zod: For input/output schema validation.
    • express / node:http: For the HTTP/SSE transport layer.
    • openapi-fetch: For Raindrop.io API communication.
  • Testing: bun test (Vitest compatible)

Architecture

The project follows a modular service-oriented architecture:

  • Entry Points:
    • src/index.ts: Main entry point for the STDIO transport server.
    • src/server.ts: Entry point for the HTTP/SSE server with session management and OAuth support.
  • Core Service (src/services/raindropmcp.service.ts):
    • Manages the McpServer instance.
    • Registers tools, resources, and prompts.
    • Handles dynamic resource resolution.
  • API Service (src/services/raindrop.service.ts):
    • Encapsulates direct communication with the Raindrop.io API.
    • Handles authentication (Access Token or OAuth).
  • Tools (src/tools/):
    • Modular tool definitions using defineTool.
    • Categories: bookmarks, collections, tags, highlights, diagnostics, bulk.
  • Resources:
    • Dynamic resources for individual bookmarks (mcp://raindrop/{id}) and collections (mcp://collection/{id}).
    • Static resources for user profile and server diagnostics.
  • Prompts:
    • Built-in prompts for complex workflows like "organize_by_topic" or "find_duplicates".

Read the full file on GitHub · 119 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago Changed · -4 tokens per session d54a967e3518
  2. 1mo ago First seen · 119 lines · 1,175 tokens per session scan A 46f7d22ff5c9

Subscribe to this mod's changes

raindrop-mcp GEMINI.md is an instructions file published in the GitHub repository adeze/raindrop-mcp (189 stars, last pushed 10d ago), licensed MIT. It adds 1,171 tokens to every session, about $0.0047 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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