go-docs-mcp

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<h1 align="center">Go-Docs MCP</h1>

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Install and Go. One command, single binary. Your AI reads any document — PDF, text, Markdown, DOCX, images.

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?

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🏆 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 | Others | |--|:---:|:---:| | Single binary, no runtime | Yes | Need Node/Python | | go install one-liner | Yes | npm+deps or pip+venv | | Multi-format (6 types) | Yes | One format each | | Full-text search | Yes | Partial or none | | OCR (scanned PDFs + images) | Yes | Rare | | Image & table extraction | Yes | Partial | | Document outline | Yes | Rare | | Fetch from URL | Yes | Rare | | Dir-locked, read-only | Yes | Varies | | Smart caching | Yes | No | | Fully offline | Yes | Yes |

Go-Docs MCP reads them all from a single binary — fast, secure, and dependency-free at runtime.

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📋 Features — 13 Tools

| Category | Tool | Description | |----------|------|-------------| | Discovery | list_documents | List all documents with metadata (format, pages, size) | | Discovery | list_formats | List supported formats and dependency status | | Reading | read_document | Full text, specific page, or page ranges from any format | | Reading | read_url | Download from URL and extract text (50MB max) | | Reading | get_document_summary | First 3 pages as a quick overview | | Search | search_document | Case-insensitive full-text search with context | | Analysis | get_document_metadata | Title, author, dates, version, page count | | Analysis | get_document_outline | Table of contents / bookmarks | | Analysis | extract_tables | Tables as structured data | | Analysis | extract_images | Images as base64 (max 10 per call) | | OCR | ocr_document | Force OCR on scanned/image-based PDFs | | OCR | read_image | Extract text from PNG, JPG, TIFF via OCR | | Export | convert_to_markdown | Convert any document to clean Markdown |

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

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📄 Supported Formats

| Format | Dependencies | Notes | |--------|-------------|-------| | PDF | poppler (pdftotext, pdfinfo, pdfimages, pdftoppm) | Full support — text, images, metadata, OCR fallback | | TXT, MD, CSV | None | Native, zero dependencies | | DOCX | pandoc (optional) | Word document extraction | | Images (PNG, JPG, TIFF) | tesseract (optional) | OCR text extraction |

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📦 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.

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🚀 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/

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⚙️ Configuration

Go-Docs MCP reads documents from a configured directory. Set DOCS_MCP_DIR to change it:

| Variable | Default | Description | |----------|---------|-------------| | DOCS_MCP_DIR | ~/.docs-mcp/documents/ | Directory containing documents to serve | | PDF_MCP_DIR | _(legacy alias)_ | Backward-compatible alias for DOCS_MCP_DIR |

Place your documents in the directory and the server finds them automatically. All supported formats are detected.

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💡 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

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📖 Tool Reference

list_documents

Lists all documents in the configured directory with format detection.

Parameters: None

Example output: ``json [ { "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

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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:

| Name | Type | Required | Description | |------|------|----------|-------------| | filename | string | Yes | The document filename to read | | page | number | No | Single page number (1-based). Omit for full text. | | pages | string | No | Page ranges, e.g. "1-5", "10", "1-3,7,10-12". Overrides page. |

Example input: ``json { "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:

| Name | Type | Required | Description | |------|------|----------|-------------| | filename | string | Yes | The document filename to search | | query | string | Yes | Search query (case-insensitive) |

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:

| Name | Type | Required | Description | |------|------|----------|-------------| | filename | string | Yes | The document filename to summarize |

---

get_document_metadata

Returns full document metadata.

Parameters:

| Name | Type | Required | Description | |------|------|----------|-------------| | filename | string | Yes | The document filename to get metadata for |

Example output: ``json { "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:

| Name | Type | Required | Description | |------|------|----------|-------------| | filename | string | Yes | The document filename to extract outline from |

---

extract_tables

Extracts tables from a document as structured data.

Parameters:

| Name | Type | Required | Description | |------|------|----------|-------------| | filename | string | Yes | The document filename to extract tables from | | page | number | No | Specific page to extract from. Omit for all pages. |

---

extract_images

Extracts images from a document as base64-encoded data. Returns up to 10 images per call.

Parameters:

| Name | Type | Required | Description | |------|------|----------|-------------| | filename | string | Yes | The document filename to extract images from | | page | number | No | Specific page to extract from. Omit for all pages. |

Example output: ``json [ { "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:

| Name | Type | Required | Description | |------|------|----------|-------------| | url | string | Yes | The URL of the document to download and read | | pages | string | No | Page ranges to extract, e.g. "1-5". Omit for full text. |

Example input: ``json { "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_document already auto-detects image-based PDFs and falls back to OCR. Use ocr_document when you want to force OCR regardless, or need to specify a non-English language.

Parameters:

| Name | Type | Required | Description | |------|------|----------|-------------| | filename | string | Yes | The PDF filename to OCR | | page | number | No | Specific page to OCR (1-based). Omit for all pages. | | language | string | No | Tesseract language code (default: eng). Use spa, fra, etc. |

Example input: ``json { "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:

| Name | Type | Required | Description | |------|------|----------|-------------| | filename | string | Yes | The image filename to read (PNG, JPG, TIFF) | | language | string | No | Tesseract language code (default: eng). |

Example input: ``json { "filename": "receipt.png", "language": "eng" } ``

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🔒 Security

• Directory-locked — only files within DOCS_MCP_DIR are 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

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🛠️ 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

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🦙 Glama Score

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📄 License

MIT - Copyright 2026 Drolosoft

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💛 Support

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