"How to convert a PDF file into Markdown format" matching MCP servers:

Convert files between 400+ image, video, audio, document, spreadsheet, ebook, archive and font formats, with OCR. A thin stdio client for the hosted Convert.Online REST API — it converts nothing itself and no file passes through the process.

Enables converting Markdown and HTML tables into structured JSON records with automatic column type inference and format normalization. It also offers supporting web-agent primitives such as DOM semantic pruning, form field auto-mapping, and execution trajectory evaluation, all via a zero-dependency MCP server.

Upload, edit, compress, protect, redact, and compare PDFs with KDAN PDF in Claude and ChatGPT.

Enables agents to transform tabular Markdown content into structured, type-inferred records with normalized formatting through an MCP-compatible interface.

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

An MCP server for high-quality bidirectional PDF ↔ Markdown conversion with full Unicode/CJK character support, enabling users to convert files via natural language commands.

MCP server for Aspose PDF Cloud, enabling PDF storage, conversion, and extraction operations (merge, split, text/table/image extraction) via CLI and MCP.

This MCP server enables AI agents to view PDFs as accessible HTML with bounding-box citations, and provides tools for layout-aware parsing, schema extraction, cross-document Q&A, and PDF rendering.

Enables low-level PDF object-tree inspection and debugging through natural language, with lazy loading for token efficiency.

Enables AI assistants to query PostgreSQL, MySQL, SQL Server, Oracle, and MongoDB databases through MCP with read-only, audited access.

Enables AI apps to extract tables from local text PDFs and return each table as CSV text, optionally saving the CSV files to a specified output directory.

Well-designed PDFs from a single prompt. Describe what you need, get a professional document.

This MCP server lets AI agents connect to Figma to read, analyze, create, and modify designs, including elements, styles, assets, and code generation. It works with free Figma accounts and supports parallel multi-agent use across MCP-compatible clients.

Enables compression and decompression of JSON data using the token-optimized ASON format, reducing token usage by 20-60% for LLM applications.

Provides AI assistants with access to visionOS development articles from stepinto.vision, enabling browsing, retrieving, and searching content with AI-ready formats.

Universal HTTP 402 Micropayment Protocol & Autonomous Economic Settlement Engine for AI Agents on Base L2.

Model Context Protocol (MCP) server for simple and instant file sharing. Input: file name → Output: download link in Seconds even for large file

Answers why a specific number in a Chinese listed company moved — margins, cash flow, inventory, management commentary, policy impact — by reading filed reports and IR transcripts and returning figures with the document and announcement number attached. It deliberately refuses price, valuation, and recommendation queries, returning a "gone_by_design" error instead.

Enables searching and retrieving content, module information, and Twig template snippets from a-blog cms via its GET API.

Lets an AI assistant read call and message history, send texts and picture messages, reach Phone Book contacts by name, and — once switched on — place calls run by a voice agent, all limited to the phone numbers the user ticks. Hosted remotely with OAuth sign-in, so nothing needs to be installed locally.

Enables agents to break high-level business objectives into dependency-ordered sub-task graphs and then directly generate the finished deliverables, such as financial spreadsheets, executive presentations, and analytical reports. It runs as a zero-dependency Python MCP server over JSON-RPC stdio, adding deterministic authorization, role-boundary validation, and telemetry.

MCP-first A/B testing server that enables agents to manage experiments (create, update traffic splits, read results, apply winning variants) from tools like Claude Code, with self-hosted Cloudflare backend.

Enables comparison of baseline and counter-party contract clause revisions, flags high-risk shifts in indemnity, IP assignment, liability caps, and non-solicitation, and generates legal redline summaries with severity and escalation verdicts.

Enables analysis of multi-file git workspaces to synthesize dependency diffs and refactor sequences.

Thin MCP server that enables AI agents to generate video, image, and audio content via the Deepy API using a personal API key, with safe generation flow and no business logic.

Enables querying of a locally pinned snapshot of the Education-to-Workforce Indicator Framework — 99 indicators and 11.8M observations — to browse questions, describe metrics, resolve places, and fetch or rank data across national, state, county, and district levels.

Publishes what an AI made — a page, a markdown or PDF doc, or a whole site — to a live HTTPS link. Runs locally over stdio from the @drop2run/mcp npm package, or hosted at https://mcp.dropto.run/mcp for chats that connect by URL.

Enables agents to discover available still-image animation models, obtain credit quotes without charge, submit one explicitly approved generation job, and poll the resulting short clip.

Enables AI editors and agents to read public web pages as clean Markdown and convert URLs, HTML, or Markdown into PDF, Word, Markdown, HTML, or JSON documents.

Enables searching government awards through the Sell to State API by proxying JSON-RPC to the live HTTP MCP endpoint, requiring an API key.

This read-only MCP Server allows you to connect to CSV Files data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for CSV Files (https://www.cdata.com/drivers/csv/download/mcp).

Lightweight project management for teams and AI agents.

Enables PDF conversion to DOC, merging multiple PDFs, reading document properties, and bundled storage file operations for complete upload-process-download workflows through MCP.

Reads and validates any European e-invoice a business receives — XRechnung, UBL, CII, ZUGFeRD/Factur-X PDF, Peppol BIS 3, FatturaPA, KSeF FA(3) — into canonical EN 16931 JSON with plain-language fix hints in EN/DE/PL/IT/FR, plus PDF, CSV and DATEV export. Nothing is stored; works without a key on a small daily quota.

Enables AI applications to convert local text PDFs or saved HTML files into clean Markdown with tables kept as real Markdown tables through the convert_to_markdown tool.

Enables to look up Japanese postal codes, convert zipcodes to addresses, search addresses by query, and list cities in a prefecture using the jpzip dataset.

Render PDFs and images from HTML templates (Jinja2, Liquid, Handlebars) or Word and PowerPoint files through the Formfeed API, check data against a template's schema before rendering, and convert Office documents to PDF.

Enables LLM clients to run Brave LLM Context web searches and fetch readable markdown extracts from URLs, including specialized site extraction, PDF text, raw mode, and pagination.

Read any public web page, or up to 20 in one batch, as a clean AIDocument: Markdown plus title, description, structure, and provenance, with navigation and boilerplate stripped. Reads are served through Lyrenth's own independently built web index, so each costs a fraction of the tokens of raw HTML and is origin-friendly. A third tool reports your plan and how many reads you have used.

Pay-per-call x402 APIs for AI agents: DeFi token safety (honeypot/tax simulation, A-F grade), EVM chain data, web access (markdown/screenshot/PDF), speech-to-text. USDC on Base, no account, no API key