Docalyze Mcp Server

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

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: LunarPerovskite
• Source: LunarPerovskite/docalyze-mcp-server
• License: MIT

Install and usage instructions live in the source repository linked above.