MCP server for multi-format document access — read, search, extract images, OCR, and fetch documents from URLs via the Model Context Protocol. 13 tools, 6 formats, zero configuration.
go install github.com/drolosoft/go-docs-mcp@latest
# That's it. Single binary, starts in milliseconds.
For a deeper look at why an MCP server beats a direct tool, see Why MCP?
🏆 Why Go-Docs MCP?
Every other document MCP server handles one format — a PDF server for PDFs, a DOCX server for DOCX. You'd need three separate servers to read three formats.
Go-Docs MCP reads them all from a single binary — fast, secure, and dependency-free at runtime.
📋 Features — 13 Tools
Highlights:
- Fast — mtime-based in-memory caching avoids redundant extraction
- Multi-format — PDF, TXT, MD, CSV, DOCX, and images from one server
- OCR — automatic fallback to tesseract for scanned documents
- Secure — directory-locked with path traversal prevention
- Portable — works on macOS and Linux
📄 Supported Formats
📦 Prerequisites
- Go 1.25+ (install)
- poppler — required for PDF support
- tesseract (optional) — enables OCR for scanned docs and images
- pandoc (optional) — enables DOCX support
# macOS
brew install poppler
brew install tesseract # optional: OCR
brew install pandoc # optional: DOCX
# Debian/Ubuntu
apt install poppler-utils
apt install tesseract-ocr # optional: OCR
apt install pandoc # optional: DOCX
# Fedora/RHEL
dnf install poppler-utils
dnf install tesseract # optional: OCR
dnf install pandoc # optional: DOCX
Note: TXT, MD, and CSV work out of the box with zero dependencies. Install only what you need.
🚀 Installation
From source
go install github.com/drolosoft/go-docs-mcp@latest
Build locally
git clone https://github.com/drolosoft/go-docs-mcp.git
cd go-docs-mcp
make build # produces ./go-docs-mcp
make install # installs to /usr/local/bin/
⚙️ Configuration
Go-Docs MCP reads documents from a configured directory. Set DOCS_MCP_DIR to change it:
Place your documents in the directory and the server finds them automatically. All supported formats are detected.
💡 Usage
With Claude Code
Add to your .claude/settings.json:
{
"mcpServers": {
"docs": {
"command": "go-docs-mcp",
"env": {
"DOCS_MCP_DIR": "/path/to/your/documents"
}
}
}
}
With Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):
{
"mcpServers": {
"docs": {
"command": "/usr/local/bin/go-docs-mcp",
"env": {
"DOCS_MCP_DIR": "/path/to/your/documents"
}
}
}
}
With any MCP client
The server communicates over stdio using JSON-RPC 2.0:
echo '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' | go-docs-mcp
📖 Tool Reference
list_documents
Lists all documents in the configured directory with format detection.
Parameters: None
Example output:
[
{
"filename": "architecture-guide.pdf",
"format": "pdf",
"title": "architecture-guide",
"pages": 42,
"size_bytes": 1048576
},
{
"filename": "notes.md",
"format": "markdown",
"title": "notes",
"size_bytes": 4096
}
]
list_formats
Lists all supported document formats and their dependency status.
Parameters: None
read_document
Reads the extracted text content of a document. Automatically falls back to OCR if the document is image-based/scanned and pdftotext returns empty text.
Parameters:
Example input:
{
"filename": "architecture-guide.pdf",
"pages": "1-3,10-12"
}
search_document
Searches within a document for lines matching a query. Returns matches with 2 lines of context and approximate page numbers.
Parameters:
Example output:
Found 3 matches for 'microservice' in architecture-guide.pdf:
--- Match 1 (page ~2, line 45) ---
The system is composed of several
> microservice components that communicate
via gRPC and message queues.
get_document_summary
Returns the text from the first 3 pages of a document as a quick summary.
Parameters:
get_document_metadata
Returns full document metadata.
Parameters:
Example output:
{
"title": "Architecture Guide",
"author": "Jane Doe",
"subject": "System Design",
"creator": "LaTeX",
"producer": "pdfTeX",
"creation_date": "Thu May 15 10:30:00 2025",
"modification_date": "Thu May 15 10:30:00 2025",
"pages": 42,
"file_size_bytes": 1048576,
"pdf_version": "1.5"
}
get_document_outline
Extracts the document outline (table of contents / bookmarks) as a structured list.
Parameters:
extract_tables
Extracts tables from a document as structured data.
Parameters:
extract_images
Extracts images from a document as base64-encoded data. Returns up to 10 images per call.
Parameters:
Example output:
[
{
"page": 1,
"index": 0,
"format": "jpeg",
"width": 800,
"height": 600,
"data_base64": "/9j/4AAQSkZJRg..."
}
]
read_url
Downloads a document from a URL and extracts its text content. Maximum file size: 50MB.
Parameters:
Example input:
{
"url": "https://example.com/report.pdf",
"pages": "1-3"
}
ocr_document
Forces OCR on a PDF document using tesseract. Useful for scanned/image-based PDFs or when pdftotext returns garbled text. Requires tesseract and pdftoppm.
Note:
read_documentalready auto-detects image-based PDFs and falls back to OCR. Useocr_documentwhen you want to force OCR regardless, or need to specify a non-English language.
Parameters:
Example input:
{
"filename": "scanned-contract.pdf",
"page": 1,
"language": "spa"
}
read_image
Extracts text from an image file using OCR. Supports PNG, JPG, and TIFF. Requires tesseract.
Parameters:
Example input:
{
"filename": "receipt.png",
"language": "eng"
}
🔒 Security
- Directory-locked — only files within
DOCS_MCP_DIRare accessible - Path traversal prevention — filenames sanitized;
../rejected - Extension filter — only supported formats served
- Read-only — no write operations
- URL downloads — 50MB limit, Content-Type validated, temp files cleaned immediately
🛠️ Development
make build # Build the binary
make test # Run tests with race detector
make clean # Remove build artifacts
Project structure
go-docs-mcp/
main.go # MCP server setup, 12 tool registrations
internal/
pdf/
reader.go # Document extraction, caching, search, metadata, images, OCR
Makefile # Build targets
go.mod # Module definition
🦙 Glama Score
📄 License
MIT - Copyright 2026 Drolosoft
💛 Support
Drolosoft — Tools we wish existed