"A server for searching and integrating Bilibili content" matching MCP servers:

A Model Context Protocol server that provides tools for parsing and retrieving Bilibili video information, including video details, download links, and collection listings.

Enables interaction with Bilibili (B站) platform through API and web scraping. Supports video search, article search, video info retrieval, comment fetching, danmaku extraction, and article content access.

MCP server for fetching Bilibili video metadata and subtitles. Supports running locally via stdio transport for integration with MCP clients like Cursor or Claude Desktop.

A Model Context Protocol server that allows AI assistants to retrieve user information, search videos by ID, and find content by keywords on bilibili.com.

SERP-based content scoring and optimization with 7 SEO categories.

Enables retrieval of comments from Bilibili videos and dynamic posts with support for pagination, sorting, and nested replies in both Markdown and JSON formats.

Enables the retrieval of subtitles, danmaku (bullet comments), and video comments from Bilibili using standard or short video URLs. It supports multiple transport methods and requires Bilibili authentication via SESSDATA.

Enables competitor content analysis by scraping pages, extracting keywords, identifying content gaps, comparing headings, scoring readability and quality, checking SERP features, and clustering competitors.

Provides Baidu hot search and Bilibili trending video data for Claude and Cherry Studio, supporting retrieval, search, and cache management.

Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.

MCP server that fetches raw HTML content from a given URL to provide web context to LLMs.

An MCP server for content creation that extracts video transcripts, scrapes web articles, and performs web searches.

Enables AI agents to collect and localize content from WeChat, Douyin, Kuaishou, Xiaohongshu, and Bilibili, with 47 MCP tools for fetching articles, parsing media, and managing a unified local content library.

Enables crawling websites, including JavaScript-rendered pages, and returns extracted page content as JSON with structured error reporting.

Enables AI agents to extract clean, structured web content (articles, tables, links, visual layouts) optimized for LLM token efficiency, with fast response times and optional JavaScript support.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

MCP server that fetches and converts website pages into clean markdown for agents, with sitemap-based discovery, disk caching, and polite crawling (robots.txt, rate limiting).

Provides content intelligence tools for AI agents, including extraction, analysis, research, comparison, monitoring, and briefing, powered by free LLMs with pay-per-call or subscription pricing.

Enables agents to crawl URLs and retrieve page content as fixed-shape structured JSON, including title, markdown, links, word count, and error status.

Provides SEO audits, content analysis, and domain overviews through an MCP server, including on-page, technical, and authority metrics with built-in browser rendering and anti-bot handling.