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Raindrop.io

A Python-based MCP server for Raindrop.io that enables Claude Desktop to interact with bookmarking collections and tags through natural language. Developed by ddaltn, it provides tools for creating, updating, and deleting collections and raindrops, as well as managing tags within the Raindrop.io service. The implementation uses the Python MCP SDK and httpx for API communication, requiring only a Raindrop.io API token to function. This server can be paired with other MCP implementations like Firecrawl to enable streamlined automation and organization of bookmarking workflows.

Cognium trust score

64%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: browser-automation
Source: PulseMCP
Repository: github.com/ddltn/raindrop-mcp-python
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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MCP

Resolve Raindrop.io from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"