GroupDocs.Parser MCP Server
MCP server that exposes GroupDocs.Parser as AI-callable tools for extracting text, images, metadata, tables, barcodes, and document info from 50+ document and image formats.
README
GroupDocs.Parser MCP Server
MCP server that exposes GroupDocs.Parser as AI-callable tools for Claude, Cursor, GitHub Copilot, and other MCP agents.
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Installation
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One-click installs pre-fill every supported setting: edit the placeholder host path in the volume mount after install; an empty GROUPDOCS_LICENSE_PATH runs in evaluation mode.
More clients - ready-made configs for Claude Code, Codex CLI, Visual Studio 2022, Cursor, Windsurf, Cline, and JetBrains Rider live in
install/generated/. <!-- install-buttons:end -->
This product ships via Docker (GHCR) only. GroupDocs.Parser's managed DLL embeds ~234 MB of ONNX models, so the packed tool exceeds NuGet.org's 250 MB limit - so dnx and
dotnet tool install are not available for it. When upstream ships a
slimmer engine that packs under the limit, the standard NuGet flow returns
(see the revert notes in .github/workflows/publish_prod.yml).
docker run --rm -i \
-v $(pwd)/documents:/data \
ghcr.io/groupdocs-parser/parser-net-mcp:latest
Images are multi-arch (linux/amd64 + linux/arm64), tagged latest plus an
immutable version tag per release (e.g. :26.7.3). To pin, replace :latest
with the version tag - recommended for shared configs and CI.
Available MCP Tools
| Tool | Description |
|---|---|
ExtractText |
Extracts plain text from a document (whole document or a single page). Truncates very large outputs. |
ExtractImages |
Extracts all embedded images and saves them to storage as <basename>_image<N>.<ext> files |
ExtractMetadata |
Extracts metadata (author, title, dates, custom properties, EXIF, XMP, IPTC) and returns it as JSON |
ExtractTables |
Extracts tables from a document as Markdown (default — renders in chat) or structured JSON |
ExtractBarcodes |
Detects all barcodes / QR codes and returns their decoded values, types, and positions as JSON |
GetDocumentInfo |
Returns the file type, page count, and size of a document as JSON (without modifying it) |
All tools support PDF, DOCX, XLSX, PPTX, HTML, EPUB, MSG, EML, JPG, PNG, TIFF, and 50+ more document and image formats.
Example prompts for AI agents
Copy any of these into Claude Desktop, Cursor, or GitHub Copilot Chat after the server is connected.
- Get a document's structure: "How many pages does invoice.pdf have, and what format is it?"
- Pull a text snippet: "Extract the text from page 2 of contract.docx."
- Mine the metadata: "What's the author and creation date of report.xlsx?"
- Read a structured table: "Pull the line items table out of invoice.pdf as Markdown."
- Scan for barcodes: "Are there any QR codes in shipping-label.png? If so, what do they decode to?"
Licensing
The MCP server itself is MIT; the underlying GroupDocs engines require a license for production use. Without one the server runs in evaluation mode:
- Text output may include an evaluation watermark, and other outputs may be size-limited.
To lift the limits, mount your GroupDocs.Total.lic into the container and point
GROUPDOCS_LICENSE_PATH at it (see the Claude Desktop example above):
Configuration
| Variable | Description | Default |
|---|---|---|
GROUPDOCS_MCP_STORAGE_PATH |
Base folder for input and output files | current directory |
GROUPDOCS_MCP_OUTPUT_PATH |
(Optional) separate folder for output files (used by ExtractImages) |
GROUPDOCS_MCP_STORAGE_PATH |
GROUPDOCS_LICENSE_PATH |
Path to GroupDocs license file. In evaluation mode, text outputs may include a watermark and other outputs may be size-limited | (evaluation mode) |
Usage with Claude Desktop
{
"mcpServers": {
"groupdocs-parser": {
"command": "docker",
"args": ["run", "--rm", "-i", "-v", "/path/to/documents:/data", "ghcr.io/groupdocs-parser/parser-net-mcp:latest"]
}
}
}
To use a license, add
"-v", "/path/to/license-folder:/license", "-e", "GROUPDOCS_LICENSE_PATH=/license/GroupDocs.Total.lic"before the image name. To pin a version, replace:latestwith the release tag.
Usage with VS Code / GitHub Copilot
Use the Install in VS Code button above, or add to .vscode/mcp.json
(also in install/generated/vscode-mcp.json):
{
"inputs": [
{
"type": "promptString",
"id": "storage_path",
"description": "Base folder for input and output files.",
"password": false
}
],
"servers": {
"groupdocs-parser": {
"command": "docker",
"args": ["run", "--rm", "-i", "-v", "${input:storage_path}:/data", "ghcr.io/groupdocs-parser/parser-net-mcp:latest"]
}
}
}
Usage with Docker Compose
cd docker
docker compose up
Edit docker/docker-compose.yml to point volumes at your local documents folder.
Documentation & guides
Step-by-step deployment guides and a published-package integration test suite live in the companion repo GroupDocs.Parser.Mcp.Tests:
- Install from NuGet
- Run via Docker
- Verify on the MCP registry
- Use with Claude Desktop
- Use with VS Code / GitHub Copilot
- Run the integration tests
License
MIT — see LICENSE
<!-- mcp-name: io.github.groupdocs-parser/groupdocs-parser-mcp -->
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