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RedNote MCP

MCP Server

Access Xiaohongshu notes via command line

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Updated 13 days ago

About

RedNote MCP is a Model Context Protocol server that authenticates with Xiaohongshu, stores cookies, and allows users to search and retrieve notes by keyword or URL from the terminal.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

RedNote MCP in action

The RedNote MCP server fills a niche for developers who want to programmatically access content from 小红书 (Xiaohongshu), a popular Chinese social‑media platform. By exposing a lightweight command‑line interface and persisting authentication cookies, it allows AI assistants to retrieve posts, search by keyword, or fetch note content via URL—all through the standard Model Context Protocol. This removes the need for custom scrapers or API keys, which are often unavailable or rate‑limited on the platform.

At its core, RedNote MCP handles authentication management. When a user runs , the tool opens a browser, lets the user log in, and then stores the session cookies locally. Subsequent requests are automatically authenticated, enabling seamless interaction with protected content. The server then offers three primary capabilities: searching notes by keyword, retrieving a note’s full text through its URL, and (planned) accessing comments via URL. These functions are exposed as MCP tools that can be invoked from any compatible AI client, such as Cursor or Claude.

For developers integrating AI assistants into content‑driven workflows, this server provides several tangible benefits. It eliminates the overhead of building and maintaining a custom scraper for 小红书, which is notoriously anti‑scraping. The persistent cookie mechanism ensures that the AI can continue to fetch data across sessions without repeated logins, while still respecting user privacy by storing credentials locally. Because the server communicates over stdio, it can be plugged into existing MCP‑compatible pipelines with minimal configuration—just a single line in the client’s settings file.

Typical use cases include market research, trend analysis, and social‑media monitoring. An analyst could ask an AI assistant to “search for the latest posts about eco‑friendly home products” and receive a curated list of notes, complete with titles and excerpts. A content creator might request the full text of a specific post to adapt it for another platform, or pull comment threads to gauge audience sentiment. In all scenarios, the AI can handle the heavy lifting of authentication and data retrieval while developers focus on higher‑level logic.

RedNote MCP stands out because it marries simplicity with power. Its command‑line interface makes it easy to install globally or run from source, and the optional MCP Inspector tool gives developers a visual debugging surface. The server’s design is intentionally modular: adding new capabilities—such as comment retrieval or advanced filtering—is straightforward, making it a flexible foundation for any AI‑driven workflow that requires access to 小红书 content.