Enables AI coding tools to turn a list of links into a verified, browsable knowledge base with grounded summaries via MCP tools for update, validation, and enrichment.
Enables local-first ingestion of Douyin links, favorites, and public Bilibili videos into Markdown, timestamped transcripts, OCR, visual assets, and deduplicated indexes for downstream RAG workflows.
Enables querying publicly available information from the Vardhaman College of Engineering website through hybrid semantic search, with over 15 tools covering departments, admissions, placements, faculty, and IQAC details.
Transforms any documentation website (GitBook, Vercel docs, Next.js sites, etc.) into an AI-accessible knowledge base with intelligent caching and automatic domain detection.
An MCP server that gives agents a unified search and perception layer across web search, Bilibili, Xiaohongshu, Zhihu, YouTube, academic metadata, recruitment sites, and webpage extraction, plus research planning, health checks, and task status.
Web crawling and RAG implementation that enables AI agents to scrape websites and perform semantic search over the crawled content, storing everything in Supabase for persistent knowledge retrieval.
Records Chrome network requests and responses for LLM knowledge bases, and exposes query and browser control capabilities via MCP tools like list_sessions, navigate, and evaluate.
Enables secure web form inspection and autofill using Excel data, Knowledge Packs, and AI, with sensitive field protection and explicit submit confirmation.
This MCP server allows Cursor AI users to search and retrieve SAP Notes and Knowledge Base articles using SAP Passport authentication and Playwright automation.
A universal resource server that enables AI models to mount local folders, scrape web pages into Markdown, and query SQLite databases without writing code. It features a real-time TUI dashboard and persistent configuration for managing diverse knowledge sources.
A tool for Model Context Protocol (MCP) that allows you to analyze web content and add it to your knowledge base, storing content as Markdown files for easy viewing with tools like Obsidian.