GroupDocs.Markdown MCP server turns documents into clean, structured Markdown — PDF, Word, Excel, EPUB, MOBI, CHM and 20+ more formats — locally on your machine. It is the ingestion step for knowledge bases, RAG pipelines, and static sites, without uploading a single file.
Run it with one command. The Docker image is self-contained — the runtime and every native dependency the engine needs are inside it:
docker run --rm -i -v $(pwd)/documents:/data \
ghcr.io/groupdocs-markdown/markdown-net-mcp:latest
With the .NET 10 SDK installed, the same server also runs without Docker:
dnx GroupDocs.Markdown.Mcp --yes
Both are the .NET build of the server and run on Windows, Linux, and macOS. Other platforms will each get their own launcher — see Install for your platform.
Or use the guided installer to register the server in your AI client, verify the setup, and configure shared folders in one pass.
What you can do
Three tools — a small surface, because the job is specific (full details in the tools reference):
convert_to_markdown — the conversion, with control over images, page selection, dialect, and YAML front matter.
get_document_info — format, page count, title, author, encryption flag, without converting.
Evaluation mode converts only the first three pages, with a watermark on each — and the resulting Markdown looks entirely valid. A knowledge base built from unlicensed conversions is almost empty and does not appear broken. Check get_license_status before an ingestion run; see Licensing.
The four options that make the output usable
Option
Values
Why it matters
images
base64 (default), file, none
Self-contained artefact vs. a repository or RAG index where data URIs pollute every chunk
pages
1,3,5
Convert a chapter instead of a 400-page book
frontMatter
true / false
YAML title, author, format, page count — for static sites and chunk metadata
flavor
github (default), commonmark
Match whatever will render or parse the result
Supported AI clients
Client
How it connects
Claude Desktop
claude_desktop_config.json
Claude Code
claude mcp add CLI
VS Code / GitHub Copilot
user-level or workspace mcp.json
Visual Studio 2022 (17.14+)
.mcp.json in the solution root
Cursor
~/.cursor/mcp.json
Windsurf
~/.codeium/windsurf/mcp_config.json
Cline
Cline MCP settings
Codex CLI
codex mcp add CLI
JetBrains Rider
manual registration (Settings → AI Assistant → MCP)
The server uses MCP’s local stdio transport: your AI client starts the server as a child process and talks to it over standard input/output. No inbound ports, no external endpoints, no telemetry — the data path is agent → local server → local filesystem. Ingestion is exactly where documents usually leak: the corpus you are indexing is the corpus you cannot afford to upload. Details: On-premise architecture.
Markdown here, or in the Conversion server?
Both can produce Markdown. GroupDocs.Conversion is the general converter across 100+ formats in both directions. This server is specialised: dialect selection, image strategy, page ranges, and front matter are first-class parameters. If Markdown is the destination and you care how it looks, this is the one; if you need DOCX → XLSX → PDF as well, use Conversion.