Markdown is a lightweight markup language that allows people to write in plain text format that is converted to HTML. It was created by John Gruber in 2004 to make it easier to write for the web using a simple, readable syntax.
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Supports working with Markdown content through Inkdrop, allowing creation and modification of notes with Markdown formatting.
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Supports reading and parsing Markdown content in configuration files stored in Nacos.
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Enables scraping webpage content and converting it to Markdown format for better readability in AI contexts.
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Provides capability to format query results as Markdown tables for better readability and visualization.
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Supports text extraction and chunking of documents into Markdown format
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Provides tools to convert any webpage into clean, structured markdown format through the markdownify function
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Formats all stablecoin data and reports in clean Markdown for easy integration into reports or dashboards.
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All Memory Bank files are stored in Markdown format, with the MCP server providing templates and structure for these documents
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Downloads webpages as markdown files using r.jina.ai service
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Formats liquidation data into Markdown tables with columns for Symbol, Side, Price, Quantity, and Time, making the information more readable and structured.
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Offers conversion of fetched web content to Markdown format, making it easy to integrate the retrieved information into markdown-based applications.
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Converts fetched HTML content to clean, readable markdown format for easier consumption by language models.
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Converts Deepwiki content to Markdown format, allowing for easy consumption of documentation in AI tools and other Markdown-compatible environments.
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Enables parsing and conversion of markdown content, with support for importing nested markdown structures into Roam Research with proper hierarchy preservation.
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Supports Markdown as a page format option when creating new pages in Logseq.
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Converts Word tables to Markdown format during document processing for improved compatibility with text-based workflows.
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Converts documents (images, PDFs, Word) to Markdown format, allowing for structured text representation of various document types.
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Manages a project memory bank using Markdown files, providing tools to initialize, read, and append to structured context files that maintain project knowledge across sessions.
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Converts Markdown documents into interactive, visual mindmaps with hierarchical structure while preserving the original content organization
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Converts various file formats to Markdown using the MarkItDown utility
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Provides content formatting option when fetching resources from URLs
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Supports converting web content to Markdown format for better readability and integration with documentation systems.
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Provides formatting options for API documentation generation with support for Markdown output format.
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Supports rich text formatting in notifications, with automatic detection and rendering of markdown syntax for creating formatted lists, code blocks, links, tables, and other text styling.
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Uses Markdown as the primary file format for storing knowledge, with specific patterns for semantic structure.
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Automatically extracts and formats web content as markdown for better readability and structure.
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Provides a tool to convert Markdown content to HTML, enabling transformation of Markdown syntax into properly formatted HTML.
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Exports chat conversations to structured Markdown files with automatic timestamping and session organization
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Enables formatting of search results in Markdown for better readability and presentation.
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Allows formatting scraped web content into structured markdown, with support for including images and saving formatted results to files
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Converts web page content to Markdown format for easier analysis and processing
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Allows serialization of MindManager mindmaps to Markdown format for use in LLM chats
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Uses markdown for structured information storage, organizing project data into markdown files for context management across sessions.
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Supports exporting documents as markdown from Outline.
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Allows creation, reading, updating, and deletion of markdown documentation files through the MCP Documentation Service
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Supports creating blog posts and comments with Markdown formatting on the Hive blockchain
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Uses Markdown files to store structured information in Memory Banks, including product context, active context, progress, decisions, and system patterns
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Includes a dedicated chunker for breaking down Markdown files into logical sections based on headings for improved searchability.
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Provides comprehensive conversion of various file formats to Markdown, preserving formatting and structure in the conversion process
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The server provides tools to convert web content to Markdown format and extract Markdown summaries of web content
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Converts extracted web content into Markdown format with improved formatting for better readability within Claude
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Supports markdown-based visualization and editing through the Obsidian integration
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Supports HTML to Markdown conversion as part of its document conversion capabilities.
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Allows scraping web content and converting it to Markdown format.
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Supports outputting scraped content in Markdown format for better readability and structure.
Why this server?
Supports conversion of web content to clean, structured Markdown format with proper formatting of lists, bold text, italic text, and links.
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The server saves conversations in Markdown format, with journal entries stored as .md files that include formatted conversations with timestamps, emotional analysis, and reflections.
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Converts web pages to structured, clean Markdown format that's ideal for LLM consumption.
Why this server?
Converts various file types and web content to Markdown format
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Converts web page content to well-formatted Markdown while preserving structural elements like tables and definition lists
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The MCP server generates documentation in Markdown format, including code collections with syntax highlighting and project structure reports.
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Supports Markdown formatting in issue bodies and comments, enabling rich text formatting for task descriptions and communications.
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Provides conversion capabilities to and from Markdown format, allowing for seamless transformation of document content while maintaining formatting.
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Supports outputting OCR results in Markdown format
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Provides a tool for fetching web content and converting it to well-formatted Markdown, making it easier to work with web content in Markdown-compatible systems.
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Offers the ability to return SQL query results formatted as Markdown tables through the execute_query_md tool.
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Uses Markdown formatting to display tables of data from the Fonoster API, such as for displaying phone numbers and applications.
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Ensures all responses are formatted in standard Markdown, with specific support for code blocks, inline code, and mathematical notation.
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Processes and returns OI-Wiki content in Markdown format, allowing AI to reference competitive programming documentation and algorithms directly
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Converts various file formats (including PDF, images, Office documents, and more) into Markdown descriptions
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Generates and maintains interconnected Markdown documents that capture different aspects of project knowledge in a structured format
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Stores all notes as plain text Markdown files, ensuring future-proof storage, easy editing, and transparent data structures
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Allows creation and management of prompt templates from markdown files in the 'prompts' folder, with variable templating support using {{variable}} format
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Supports indexing and searching of Markdown-formatted documentation, enabling access to content in this format through the document management system.
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Supports creating notes in Markdown format with the inBox note-taking service, allowing users to save and organize notes with optional titles through natural language conversations.
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The server formats SQL query results as markdown tables for better readability in Claude Desktop.
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Supports output of crawled and extracted web content in Markdown format for improved readability and structure.
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Supported as an output format for the scraped website content
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Specializes in managing and enhancing Markdown documentation files, providing capabilities for content analysis, metadata generation, and document relationships.
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Provides formatted output of release notes in Markdown format with emoji support
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Mentioned as a file format that can be edited with specific permissions in the example configuration
Why this server?
Allows converting web content to Markdown format using the fetch_markdown tool, using TurndownService for HTML to Markdown conversion
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Converts Markdown documents to PDF files with support for syntax highlighting, custom styling, and optional watermarking. Handles standard Markdown elements including headers, lists, tables, code blocks, and images.
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Outputs structured release notes in Markdown format, including categorized changes and a list of modified files.
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Performs comprehensive analysis of markdown documentation structure, providing scoring and optimization suggestions.
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Converts web content to clean, structured Markdown format for AI consumption.
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Supports markdown formatting in issue descriptions and comments when creating or updating Linear issues.
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Handles data formatting and presentation using Markdown, allowing for structured output of financial data, stock analysis, and market reports.
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Provides conversion of various file formats and text to Markdown using MarkItDown
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Provides bidirectional conversion between Markdown format and Notion's block structure, with support for elements like headers, allowing seamless content transfer between Markdown files and Notion.
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Supports importing nested markdown content with proper conversion into Roam Research's structure
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Works with Markdown files in the Obsidian vault, allowing creation, editing, and manipulation of Markdown content and frontmatter metadata.
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Enables conversion of PDF documents to Markdown format, optimized for processing by large language models.
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Converts various file formats to Markdown through the mdconvert.py utility
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Allows sending markdown formatted messages to DingDing group robots
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Generates reports in Markdown format containing directory structure, token usage statistics, and samples of important files.
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Processes markdown files by extracting text and converting it to vector embeddings for semantic search
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Supports output formatting in Markdown format, useful for displaying tabular data in a readable format
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Provides ability to format database query results as Markdown tables, making data presentation more readable for reporting and visualization purposes.
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Supports Markdown format for memory bank documents with migration tools to convert to the newer JSON format
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Supports composing email content in Markdown format, which is then converted to HTML for sending styled emails with inline images.
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Allows converting web pages to markdown format for easier reading and processing by AI assistants
Why this server?
Enables conversion of web pages to Markdown format, allowing for cleaner and more readable text representation of online content.
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Converts various document formats to markdown, with support for embedded images extraction and OCR capabilities for scanned documents.
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Serves markdown documentation files as resources or tools, providing structured access to documentation content for AI assistants
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Supports indexing and searching Markdown files, allowing semantic queries across Markdown document content.
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Provides search results in Markdown format for better readability and structure
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Supports markdown formatting in issue comments and descriptions, allowing for rich text formatting when interacting with Linear content.
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Formats location data as Markdown tables when using the get_location() tool, presenting geolocation information in a structured, readable format.
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Converts PDF content to structured Markdown format, preserving document structure including headings, paragraphs, lists, and tables
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Retrieves webpage content in clean markdown format for easier consumption and formatting
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Provides multiple Markdown output formats optimized for LLMs, including markdown_with_citations, fit_markdown, raw_markdown, and references_markdown
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Enables extraction of code blocks from markdown text, preserving language information from code block markers.
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Enables sending markdown-formatted messages to DingDing/Dingtalk groups with support for custom titles and @all functionality
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Enables conversion of Markdown documents to PDF with proper styling, supporting both file path-based and content-based conversion methods.
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Converts scraped web content into markdown format for easier processing by Claude
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Supports content extraction in Markdown format from web pages, allowing for structured and readable representation of scraped content.
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Allows retrieving OCR results from handwritten documents as formatted Markdown text.
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Formats agent plans with proper Markdown structure, organizing content into Overview, Implementation Details, and Next Steps sections, and supporting task list tracking with completion status.
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Supports outputting codebase analysis in Markdown format for better readability and documentation purposes
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The server produces detailed markdown reports with findings, sources, and reliability assessments
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Converts web content to Markdown format with improved formatting, making research results more readable within Claude.
Why this server?
Supports importing markdown files directly as notes in Joplin, preserving the markdown formatting.
Why this server?
Converts HTML content from web pages to Markdown format for easier consumption by LLMs
Why this server?
Converts web content to markdown format for improved readability, with options to include/exclude images and videos, preserve links, and format code blocks
Why this server?
Converts various file formats (PDF, PowerPoint, Word, Excel, Images, Audio, HTML, CSV, JSON, XML, ZIP) to Markdown format
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Converts fetched web content into markdown format for optimal display in Claude
Why this server?
Supports conversion of Google Docs to Markdown for better text processing and formatting preservation.
Why this server?
Extracts website content and saves it in markdown format, enabling structured documentation from crawled websites
Why this server?
Converts clean HTML from web pages into well-formatted Markdown, optimizing content for LLM processing with consistent formatting.
Why this server?
Supported as a content type for documents added to the system
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Converts HTML documentation to markdown format and saves the converted documentation to a specified output path
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Formats news content into clean, structured Markdown digests for improved readability
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Supported in Linear issue descriptions, allowing rich text formatting when creating issues.
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Features specialized dynamic markdown handling with smart loading based on file size, optimized for efficient retrieval and indexing
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Allows ingesting and chunking Markdown files for semantic search and retrieval
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Transforms responses into markdown format to ensure they contain few tokens and are optimized for AI consumption
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Supports creating and updating documents in Markdown format within the Yuque knowledge base platform
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Enables searching and retrieving content from Markdown knowledge bases, with capabilities for filtering by tags, text search, slugs/URLs, and date ranges.
Why this server?
Enables fetching web content and converting it to Markdown format, allowing for structured text representation of online resources.
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Allows extraction of web page content in Markdown format, enabling easy processing of current browser page content.
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Provides complete Markdown rendering capabilities, allowing fetching and processing of Markdown content from various web sources.
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Supports Markdown formatting for notification messages sent to Microsoft Teams
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Returns formatted responses in Markdown, including structured lists of Azure resources and cost analysis data with details like locations, types, and tags.
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Manages markdown notes in a directory, providing tools to create, read, update and list markdown notes with automatic file management and timestamp tracking.
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Supports creating email content in Markdown format when creating newsletter drafts through the Buttondown API.
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Uses structured markdown format to organize user preferences and information across platforms
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Formats web search results in Markdown to easily incorporate titles, URLs, and summaries into AI assistant responses
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Enables indexing and searching of Markdown (.md, .mdx) files, allowing AI assistants to retrieve information from documentation stored in Markdown format.
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Converts Notion pages into text/markdown mimeType notes for access through the MCP server
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Converts Markdown content to styled PDFs using VS Code's markdown styling and Python's ReportLab, with a note storage system for managing markdown content.
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Supported as a response format when receiving data from agents through the receive_agent_data tool.
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Used for formatting search results returned from Azure AI Search queries.
Why this server?
Converts crawled web content into markdown format for easier consumption by AI applications
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Provides capability to extract API group specifications in Markdown format with reduced tokens for documentation purposes
Why this server?
Converts clean HTML to high-quality Markdown with TurndownService, supporting both web scraping and direct conversion of local HTML files
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Stores memories as structured markdown files in a hierarchical organization system with support for categorization and relationships between memories.
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Provides analysis of Markdown (.md) files, including listing headers (lines starting with #)
Why this server?
Supported in the custom modes configuration with specific file permissions through fileRegex patterns
Why this server?
Converts web content to Markdown format, allowing fetching of websites and transforming their content to structured Markdown
Why this server?
Handles notes in Markdown format, exposing them with the 'text/markdown' media type for search and access.