Why this server?

This server crawls websites to extract content and save it as markdown files, which is relevant for retrieving markdown from a database.

Why this server?

This server provides tools for extracting text from PDF files, and while it doesn't directly retrieve from a database, it helps prepare content for storage or analysis, which could involve markdown conversion.

Why this server?

This server fetches web content in multiple formats (HTML, JSON, Markdown, text) with automatic format detection, which is useful for obtaining markdown files from web sources to be stored in a database.

Why this server?

This server helps retrieve and process content from web pages, converting HTML to markdown, useful for database storage.

Why this server?

This server converts Markdown to styled PDFs, which while not directly retrieving markdown, could be part of a pipeline where markdown is created and then stored.

Why this server?

An MCP server that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context (which may be stored as markdown).

Why this server?

This server enables integration with Google Drive for listing, reading, and searching over files, supporting various file types with automatic export for Google Workspace files. While not directly retrieving markdown, it can access markdown files stored in Google Drive.

Why this server?

This server enables LLMs to search, retrieve, and manage documents through Rememberizer's knowledge management API. This could include Markdown files stored in the system.

Why this server?

Provides RAG capabilities for semantic document search using Qdrant vector database and Ollama/OpenAI embeddings, allowing users to add, search, list, and delete documentation with metadata support. Documentation could be in markdown.

Why this server?

A server that allows fetching web page content using Playwright headless browser with AI-powered capabilities for efficient information extraction. Can be used to fetch the content and save as markdown.