Weibo▌
by selenium39
Scrape Weibo user info, feeds, and search results. Discover users, retrieve profiles, and access Weibo feeds easily with
Enables scraping of Weibo user information, feeds, and search functionality with tools for user discovery, profile retrieval, and feed access
best for
- / Social media researchers analyzing Chinese content
- / Marketers tracking brand mentions on Weibo
- / Developers building Weibo content aggregators
- / Analysts monitoring Chinese social trends
capabilities
- / Search Weibo users by keywords
- / Get detailed user profile information
- / Retrieve user's latest posts and feeds
- / Fetch current trending topics and hot searches
- / Search Weibo content by keywords
what it does
Scrapes Weibo (Chinese social media platform) to retrieve user profiles, posts, search results, and trending topics. Provides programmatic access to Weibo's public content without requiring official API access.
about
Weibo is a community-built MCP server published by selenium39 that provides AI assistants with tools and capabilities via the Model Context Protocol. Scrape Weibo user info, feeds, and search results. Discover users, retrieve profiles, and access Weibo feeds easily with It is categorized under search web. This server exposes 5 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install Weibo in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Weibo is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
README content is unavailable from source data for this server.
Open GitHub repositoryFAQ
- What is the Weibo MCP server?
- Weibo is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Weibo?
- This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Ratings
4.5★★★★★10 reviews- ★★★★★Shikha Mishra· Oct 10, 2024
Weibo is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 9, 2024
We evaluated Weibo against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: Weibo is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Jul 7, 2024
Weibo reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Jun 6, 2024
I recommend Weibo for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: Weibo surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Apr 4, 2024
Weibo has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Rahul Santra· Mar 3, 2024
According to our notes, Weibo benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Feb 2, 2024
We wired Weibo into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yash Thakker· Jan 1, 2024
Weibo is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.