docalyze-mcp-server 0.2.1

MCP server for reading and visually analyzing local documents (PDF, Excel, CSV, Word, PowerPoint, images). No API keys required — works with GitHub Copilot and any MCP-compatible AI host.

Docalyze MCP Server

An MCP (Model Context Protocol) server that lets AI assistants read and visually analyze local documents — PDFs, Excel spreadsheets, CSV files, Word documents, PowerPoint presentations, and images.

No API keys required. The host AI (GitHub Copilot, Claude, etc.) does all the reasoning directly.

Supported Formats

Format	Extensions	Read	Visual
PDF	.pdf	✅	✅
Excel	.xlsx, .xls	✅	✅
CSV / TSV	.csv, .tsv	✅	—
JSON	.json	✅	—
Word	.docx	✅	✅
PowerPoint	.pptx	✅	✅
Plain text	.txt, .md	✅	—
Images	.png, .jpg, .jpeg, .gif, .bmp, .tiff, .webp	—	✅

Tools

Tool	Description
list_documents	List files under a directory, filtered by glob pattern
document_info	Get metadata (size, modified date, sheets) for a file
read_document	Extract text content from a document with pagination
visual_evaluate_document	Return page images inline so the AI can analyze charts, tables, and diagrams

Installation

From VS Code (recommended)

Search for docalyze in the MCP server gallery (Extensions sidebar → MCP tab) and click Install.

From PyPI

pip install docalyze-mcp-server

From npm

npx docalyze-mcp-server

This requires uv or pipx installed — the npm wrapper calls uvx to run the Python package automatically.

Manual setup

Add to your VS Code mcp.json (or settings.json):

{
  "servers": {
    "docalyze": {
      "type": "stdio",
      "command": "python",
      "args": ["-m", "docalyze_mcp_server"],
      "env": {
        "PYTHONIOENCODING": "utf-8"
      }
    }
  }
}

Or, if you installed via pip and want to use the entry point:

{
  "servers": {
    "docalyze": {
      "type": "stdio",
      "command": "docalyze-mcp-server"
    }
  }
}

Optional Dependencies

The base install handles PDF, Excel, CSV, JSON, and plain text. For additional formats:

# Word documents
pip install docalyze-mcp-server[docx]

# PowerPoint
pip install docalyze-mcp-server[pptx]

# OCR (requires Tesseract installed on your system)
pip install docalyze-mcp-server[ocr]

# Everything
pip install docalyze-mcp-server[all]

Configuration

The server reads documents from a configurable root directory. Set the DOCUMENTS_ROOT environment variable to change it:

{
  "servers": {
    "docalyze": {
      "type": "stdio",
      "command": "docalyze-mcp-server",
      "env": {
        "DOCUMENTS_ROOT": "/path/to/your/documents"
      }
    }
  }
}

If not set, it defaults to the directory containing the server script.

License

MIT