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.
Why this server?
Supports text extraction and chunking of documents into Markdown format
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Supports reading and parsing Markdown content in configuration files stored in Nacos.
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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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Supports working with Markdown content through Inkdrop, allowing creation and modification of notes with Markdown formatting.
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Provides tools to convert any webpage into clean, structured markdown format through the markdownify function
Why this server?
Converts web pages to structured, clean Markdown format that's ideal for LLM consumption.
Why this server?
Enables conversion of gathered research data into well-structured markdown documents
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Uses Markdown as the primary file format for storing knowledge, with specific patterns for semantic structure.
Why this server?
Supports converting web content to Markdown format for better readability and integration with documentation systems.
Why this server?
Enables conversion between Markdown and HTML formats with dedicated tools
Why this server?
Supports formatting Teams messages using markdown syntax, with features like bold text, lists, and links
Why this server?
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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Returns formatted Markdown content for scripting tips and examples from the knowledge base, making documentation accessible through the get_scripting_tips tool.
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Provides conversion functionality to transform Notion API responses into Markdown format, optimizing token usage and making interactions more efficient when communicating with LLMs.
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Converts URLs to Markdown format using AI models, allowing for structured representation of website content that can be used in reviews and other applications.
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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 exporting and formatting feed content in Markdown format.
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Supports reading Markdown resources through the open-resource/read-resource tools, with specific support for a context guide in Markdown 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 for structured information storage, organizing project data into markdown files for context management across sessions.
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Supports Markdown format for creating and editing blog content within Emlog blog system
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Automatically extracts and formats web content as markdown for better readability and structure.
Why this server?
Used to format responses and queries, enabling structured presentation of mathematical problems, optimization constraints, and solution outputs in a readable format.
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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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Provides output formatting in Markdown for human-readable documentation and integration with documentation systems
Why this server?
Supported for content extraction, with capabilities to convert HTML from linked articles into markdown format.
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Formats query results as markdown tables and text summaries, providing structured outputs for pool data including token pairs, addresses, fee tiers, and financial metrics.
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Stores prompts as markdown files with YAML frontmatter for structured metadata
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Formats all data outputs as Markdown tables for clear presentation of metrics, transaction data, and cross-chain activity analysis.
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All tools return data as formatted Markdown tables for easy readability and integration into Claude responses.
Why this server?
Enables conversion of markdown content into professionally formatted PDF documents using LaTeX rendering for print-ready output quality.
Why this server?
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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Returns analysis results in Markdown format, including structured information about token details, honeypot status, and risk metrics.
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Enables conversion of Markdown text into interactive, visual mind maps with support for rich interactive operations and multi-format exports.
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Stores session data and project information in human-readable markdown files, enabling easy review and version control of context data.
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Provides content formatting option when fetching resources from URLs
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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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Allows formatting scraped web content into structured markdown, with support for including images and saving formatted results to files
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Supports HTML to Markdown conversion as part of its document conversion capabilities.
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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 export capabilities for task plans and status reports in Markdown format.
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Supports exporting documents as markdown from Outline.
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Supports exporting Heptabase whiteboards and cards to Markdown format.
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Allows exporting Heptabase whiteboards and cards to Markdown format
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Provides capability to format query results as Markdown tables for better readability and visualization.
Why this server?
Enables scraping webpage content and converting it to Markdown format for better readability in AI contexts.
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Supports storing and managing all project documents in Markdown format, making them easy to edit and maintain.
Why this server?
Converts fetched HTML content to Markdown format for better readability and processing by language models.
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Includes tools for converting markdown task files into MCP-compatible JSON commands that can be executed sequentially
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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 types and web content to Markdown format
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Downloads webpages as markdown files using r.jina.ai service
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Converts Word tables to Markdown format during document processing for improved compatibility with text-based workflows.
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Allows converting web content to Markdown format using the fetch_markdown tool, using TurndownService for HTML to Markdown conversion
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Supports creating blog posts and comments with Markdown formatting on the Hive blockchain
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Formats order book comparison data across multiple exchanges as Markdown tables for clear visualization and analysis.
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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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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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Formats all stablecoin data and reports in clean Markdown for easy integration into reports or dashboards.
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Converts web page content to Markdown format for easier analysis and processing
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Converts fetched HTML content to clean, readable markdown format for easier consumption by language models.
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Supports Markdown as a page format option when creating new pages in Logseq.
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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 various file formats to Markdown using the MarkItDown utility
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Provides formatting options for API documentation generation with support for Markdown output format.
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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 serialization of MindManager mindmaps to Markdown format for use in LLM chats
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Allows creation, reading, updating, and deletion of markdown documentation files through the MCP Documentation Service
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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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Provides comprehensive conversion of various file formats to Markdown, preserving formatting and structure in the conversion process
Why this server?
The server provides tools to convert web content to Markdown format and extract Markdown summaries of web content
Why this server?
Converts extracted web content into Markdown format with improved formatting for better readability within Claude
Why this server?
Supports markdown-based visualization and editing through the Obsidian integration
Why this server?
Allows scraping web content and converting it to Markdown format.
Why this server?
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.
Why this server?
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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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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Uses Markdown formatting to display tables of data from the Fonoster API, such as for displaying phone numbers and applications.
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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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Allows exporting search results to Markdown format alongside other formats like BibTeX, CSV, and JSON.
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Supports automatic prompt construction from markdown files which become the main prompt when querying AI models
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Enables rich text formatting in feedback prompts displayed to users
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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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Ensures all responses are formatted in standard Markdown, with specific support for code blocks, inline code, and mathematical notation.
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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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Provides ability to format database query results as Markdown tables, making data presentation more readable for reporting and visualization purposes.
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Converts various file formats (including PDF, images, Office documents, and more) into Markdown descriptions
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Uses Markdown as the primary format for storing all notes, ensuring future-proof storage and easy editing with any text editor.
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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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Processes and parses Markdown content from JSer.info posts and documentation.
Why this server?
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.
Why this server?
Supported as an output format for the scraped website content
Why this server?
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
Why this server?
Mentioned as a file format that can be edited with specific permissions in the example configuration
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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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Supports internationalization of Markdown content with specialized handling for multilingual Markdown documents.
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Stores knowledge in YAML-frontmatter markdown documents with chapter-based organization for structured information management
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Supports generating technical specifications in Markdown format as one of the output options.
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Provides tools for linting, validating, and auto-fixing Markdown files to ensure compliance with established standards including CommonMark and GitHub Flavored Markdown conventions.
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Converts PDF files to Markdown format, extracting content using AI sampling. Supports both local file paths and URLs with incremental conversion capabilities.
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Generates context-aware prompts in Markdown format to assist with task execution.
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Uses plain markdown files for note storage, allowing users to maintain ownership and control of their content while adding AI-powered features
Why this server?
Converts HTML content to clean Markdown format while preserving links for knowledge graphs and downstream processing.
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Generates documentation in Markdown format from rule inspection, stored in the docs directory.
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Provides conversion of various file formats and text to Markdown using MarkItDown
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Supports creating and updating articles with Markdown-formatted content through the Hashnode API.
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Supports returning clinical trial data in markdown format for improved readability in AI responses.
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Supports rich formatting in changelog content with Markdown syntax.
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Returns roadmap content in Markdown format, enabling formatted display of developer roadmap information.
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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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Supports creating and editing content in Markdown format, including structured articles with frontmatter for metadata.
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Supports filtering gists to show only those composed of Markdown files, and provides tools for managing reusable prompts stored as markdown files with templating capabilities.
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Supports processing and analysis of Markdown documents as part of the RAG knowledge base
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Provides tools for importing from and exporting to Markdown files, allowing easy conversion between ConPort's structured data and human-readable documentation.
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Returns NFT analytics results in formatted markdown tables for easy reading within conversation interfaces.
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Supports evaluation of Markdown formatting in datasets and content extraction quality assessment
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Used as the format for documentation and runbooks that are processed into vector embeddings
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Formats all output data as markdown tables for enhanced readability when presenting metrics and statistics.
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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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Maintains persistent project context through structured markdown files organized into five core categories for tracking project information
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Provides validation, compilation and transformation of Markdown documents, supporting CommonMark and GitHub Flavored Markdown with Quarkdown extensions.
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Generates comprehensive company analysis reports in Markdown format with extracted and enriched company data.
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Formats all search results and room information as Markdown tables for clean, structured display of data including image embedding for avatar and room thumbnails.
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Offers markdown-to-HTML conversion functionality through a dedicated markdown tool, useful for content formatting in WYSIWYG fields.
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Formats liquidity pool data into structured markdown tables with columns for key metrics like price, volume, and market cap
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Supports saving and formatting content as markdown in Capacities spaces, particularly for daily notes and weblink descriptions.
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Supports outputting processed video content in Markdown format
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Converts web page content into Markdown format for easier consumption and manipulation by AI agents
Why this server?
Converts legislative texts from HTML to Markdown format for easier processing by LLMs, presenting clean, formatted legal content.
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The server produces detailed markdown reports with findings, sources, and reliability assessments
Why this server?
Automatically converts various document formats to Markdown for consistent representation and includes support for reading and processing Markdown files.
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Enables exporting database schemas in Markdown format for documentation purposes.
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Formats job listings as structured Markdown content with details including job ID, title, company, location, remote status, publication date, and application links.
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Enables generation of high-quality markdown documents from research data, with configurable documentation prompts and formatting instructions.
Why this server?
Returns structured blockchain data in Markdown format, with tabulated representations of RPC endpoints and explorers for improved readability.
Why this server?
Parses and processes Markdown (.md) files with front matter support for inclusion in the vector database
Why this server?
Supports composing email content in Markdown format, which is then converted to HTML for sending styled emails with inline images.
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Outputs data in Markdown format for tables showing token information and trade statistics.
Why this server?
Provides multiple Markdown output formats optimized for LLMs, including markdown_with_citations, fit_markdown, raw_markdown, and references_markdown
Why this server?
Supports formatting extracted web content as Markdown, allowing for clean, structured representation of articles with optional image inclusion.
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Handles data formatting and presentation using Markdown, allowing for structured output of financial data, stock analysis, and market reports.
Why this server?
Provides optional Markdown embedding for image results when using the images search category.
Why this server?
Supports output formatting in Markdown format, useful for displaying tabular data in a readable format
Why this server?
Converts web content to clean, structured Markdown format for AI consumption.
Why this server?
Supports markdown formatting in issue descriptions and comments when creating or updating Linear issues.
Why this server?
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.
Why this server?
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.
Why this server?
Enables conversion of PDF documents to Markdown format, optimized for processing by large language models.
Why this server?
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
Why this server?
Supports Markdown format for memory bank documents with migration tools to convert to the newer JSON format
Why this server?
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.
Why this server?
Converts various document formats to markdown, with support for embedded images extraction and OCR capabilities for scanned documents.
Why this server?
Serves markdown documentation files as resources or tools, providing structured access to documentation content for AI assistants
Why this server?
Supports indexing and searching Markdown files, allowing semantic queries across Markdown document content.
Why this server?
Provides search results in Markdown format for better readability and structure
Why this server?
Supports markdown formatting in issue comments and descriptions, allowing for rich text formatting when interacting with Linear content.
Why this server?
Formats location data as Markdown tables when using the get_location() tool, presenting geolocation information in a structured, readable format.
Why this server?
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
Why this server?
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
Why this server?
Converts scraped web content into markdown format for easier processing by Claude
Why this server?
Supports content extraction in Markdown format from web pages, allowing for structured and readable representation of scraped content.
Why this server?
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.
Why this server?
Supports outputting codebase analysis in Markdown format for better readability and documentation purposes
Why this server?
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
Why this server?
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
Why this server?
Supports Markdown files as a document source, enabling the indexing and retrieval of content from .md files organized in domain-specific folders.
Why this server?
Converts markdown descriptions to properly formatted Atlassian Document Format (ADF), supporting headers, text formatting, code blocks with syntax highlighting, bullet and numbered lists, tables, and other complex formatting elements.
Why this server?
Supports generating markdown explanations for price changes in the e-commerce pricing agent extension scenario.
Why this server?
Generates structured Markdown reports for meeting summaries with proper formatting
Why this server?
Uses markdown files with YAML frontmatter for defining prompts and their metadata
Why this server?
Converts extracted web content to sanitized Markdown format with limited formatting (headings, bold, italic, links only) optimized for LLM consumption
Why this server?
Converts Markdown text to HTML format, providing a transformation service that can be utilized through HTTP endpoints or direct CLI invocation
Why this server?
Core functionality of the server is converting various file formats to Markdown, providing a universal converter that handles multiple document, image, audio, web, archive, and data file types