"Searching PubMed references and formatting them in Markdown" matching MCP servers:

Enables an agent, before it designs anything, to pull a short set of curated directions from award winners, editor-picked galleries, winning ads and top posts, plus live picks and deeper curations for the medium at hand. Users can then choose a reference, save links or screenshots to a personal library, and have later suggestions lean toward what they keep picking.

Syncs Jira Cloud issues into local Markdown files with source metadata, kept current including deletions. Includes a local read-only MCP server so Claude Code or Codex can search, read and list recent changes. Linux.

Enables AI assistants to run PubMed searches in plain English, download full-text articles from PubMed Central, and map the similar, citing and cited evidence around key papers. It also builds an Obsidian knowledge graph of a study's literature, with retractions flagged and citations traceable to papers the assistant read.

Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.

Extracts clean markdown content from web pages using Playwright, automatically filtering out navigation, headers, and ads while preserving formatting. Handles JavaScript-heavy sites and dynamic content, making web content easily readable and processable.

Enables reading and optionally editing existing Markdown files under a configured root folder, including section-level queries, overwrites, appends, deletions, and front matter management, over stdio with no network dependencies.

Converts documents (PDF, DOCX, XLSX, EPUB, etc.) to clean, structured Markdown, and retrieves document info, for use with AI agents.

An MCP server that provides tools for analyzing, linting, formatting, and generating Markdown content. It enables users to programmatically manage Markdown files through features like table of contents generation, statistics calculation, and JSON-to-table conversion.

Translates project README files into multiple languages via MCP server or standalone pipeline, using local LM Studio models for translation, critique, and revision.

Provides structured, addressable access to a local markdown vault with heading-anchored fragments, BM25 search, and stable IDs for verifiable retrieval.

MCP server that converts PDF, video, web, and audio inputs into structured Markdown notes with support for checkpointing, batch processing, and Obsidian integration.

MCP server for bidirectional Markdown-to-Confluence sync, enabling download and publish of Confluence pages as Markdown with images, frontmatter tracking, and dry-run safety.

Write your resume in Markdown and export to PDF with AI assistance, using a built-in stylesheet and tools for conversion.

Converts any URL to clean, LLM-ready Markdown by removing ads, navigation, and other clutter, using Mozilla Readability and Turndown.

Enables AI assistants to read local documents by converting PDFs, Office files, images, and audio to Markdown on-device, without uploading them.

A Model Context Protocol (MCP) server that provides a local-first RAG engine for your markdown documents. It uses a file-based Milvus vector database to index your notes, enabling LLMs to perform semantic search and retrieve relevant content from your local files.

MCP server for markdown files — search, extract sections, list headings, find code blocks across docs.

Convert PDF, DOCX, XLSX, images, and 20+ formats to Markdown using markdown.new API.

Python MCP server for programmatic access to markdown-based knowledge vaults, enabling AI assistants to browse, read, search, update, and manage notes, tasks, and projects.

A Model Context Protocol server that converts Markdown content to HTML format.

Agent-controlled markdown files with frontmatter-based permissions, enabling read, append, or edit access for AI agents.

Enables AI assistants to search, read, and navigate a folder of Markdown notes as a knowledge base, with full-text search, backlinks, tags, metadata, and note resources for conversation attachment.

A Model Context Protocol server that provides RAG capabilities for markdown documents using Qdrant for vector storage and Ollama for embeddings, enabling semantic search and document ingestion directly from Cursor IDE.

Enables AI agents to convert GitHub Flavored Markdown into formatted Word (.docx) files, including headings, lists, tables, links, code and images, with an optional Chinese official document (公文) font preset. Conversion runs locally, so no content is uploaded.

A stdio MCP server that converts CommonMark/GFM Markdown into Slack mrkdwn, Microsoft Teams HTML, Jira wiki markup, and plain text, enabling agents to transform content for downstream platforms without posting or sending messages.

Enables intelligent Markdown document analysis including extracting table of contents with hierarchy, detecting numbering issues like duplicates and discontinuities, and generating formatted TOC content in multiple output formats.

Provides access to markdown documentation for local NPM, Go, and PyPi packages as MCP resources or tools. It enables informed code generation by surfacing documentation directly from a project's working directory.

Enables querying Markdown files in knowledge bases (like Obsidian vaults) by front matter metadata, filtering notes by tags, recency, and folders to surface relevant content based on created/updated dates.

Provides semantic search over markdown documentation using RAG, allowing natural language queries and integration with MCP clients.

Enables managing and searching markdown notes with semantic search, question answering, and note generation, and provides an MCP server for GitHub Copilot integration.