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Independent project, not affiliated with Anthropic
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Docalyze

lunarperovskite/docalyze-mcp-server
STDIOregistry active
Summary

Connects Claude to your local filesystem to read and analyze documents without sending them to external APIs. Exposes four tools: list_documents for directory browsing with glob patterns, document_info for metadata, read_document for text extraction with pagination, and visual_evaluate_document that returns page images so the AI can reason about charts and layouts directly. Handles PDFs, Excel, CSV, Word, PowerPoint, and images out of the box. The visual analysis is the standout feature here. Point it at a configurable documents root and you can ask Claude to summarize spreadsheets, extract data from forms, or explain what's in a slide deck without any manual export step.

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Docalyze Logo

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

FormatExtensionsReadVisual
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

ToolDescription
list_documentsList files under a directory, filtered by glob pattern
document_infoGet metadata (size, modified date, sheets) for a file
read_documentExtract text content from a document with pagination
visual_evaluate_documentReturn 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

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Categories
Documents & KnowledgeData & AnalyticsProductivity & Office
Registryactive
Packagedocalyze-mcp-server
TransportSTDIO
UpdatedApr 3, 2026
View on GitHub

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