"markdown" matching MCP servers:

Converts PDF, DOCX, PPTX, XLSX, CSV, and JSON into clean, compact, AI-ready Markdown, reducing tokens up to 65%.

An MCP server that logs AI-assisted scientific computing sessions, capturing prompts, responses, decisions, and environment snapshots to human-readable markdown files for reproducibility.

Enables fetching patents from multiple global sources by patent ID, returning PDF, Markdown, and metadata with automatic caching.

Identifies knowledge gaps in markdown vaults, ranks them by priority, generates research questions, and offers long-tail sampling to break confirmation bias.

Enables searching arXiv, fetching metadata, reading papers as section-aware Markdown, listing recent papers, and downloading PDFs via five MCP tools.

MCP server that reads PDFs and exposes them as structured Markdown, metadata, outlines, images, and tables to LLM consumers via tools like pdf_read_markdown and pdf_info.

Scrapes the Opportunity Party website and converts policy PDFs to structured markdown for LLM consumption.

Enables searching and reading full text of papers in a Zotero library by converting PDF attachments to Markdown and exposing a full-text search index to LLM tools.

Enables searching arXiv papers and retrieving full paper content as Markdown, with smart sorting, category filtering, and pagination.

MCP server for parsing PDF, images, and Office documents into Markdown using MinerU, with tools for document parsing and reading previous results.

Generates structured Chinese Markdown briefs on mining topics by orchestrating three MCP tools for news, resource data, and price information.

Converts documents (PDF, DOCX, XLSX, PPTX, HTML, TXT, MD) to Markdown and stores them locally with search and retrieval capabilities.

Enables reading entire PDF documents into validated structured JSON, including tables, key-values, and markdown, with read-only extraction tools and layout reconstruction.

A read-only Gmail MCP server that searches email, fetches complete threads, and stores them as local Markdown and JSON for offline analysis by other agents.

MicroStrategy MCP server that enforces row-level security via LDAP authentication, enabling authorized users to list projects, reports, and execute reports returning data as markdown tables.

A multi-agent research system that decomposes complex queries into targeted sub-questions, searches the web in parallel, scores source credibility, and synthesizes findings into structured markdown reports.

Resolves scholarly identifiers — DOI, PubMed ID, PMCID, ISBN, ISSN, arXiv, ADS bibcode — into clean, formatted citations in any of 10,000+ CSL styles. Returns plain text, HTML, Markdown, RIS, BibTeX, CSL-JSON, or EndNote XML for direct paste or reference manager import.

Read any public web page as a clean AIDocument: Markdown plus title, description, and structure, with navigation and boilerplate stripped. Reads resolve through Lyrenth's shared cache, so it is far fewer tokens than raw HTML and origin-friendly.

Enables exploratory data analysis through an MCP server, allowing AI assistants to load datasets, compute summary statistics, generate diagnostic plots, perform correlation analysis, and produce full markdown reports.

Enables parsing PDF files from local paths or URLs into structured JSON or Markdown format using NetMind's AI-powered PDF extraction service.