Is the docalyze MCP server free to use?

Yes. docalyze is listed on AllMCPs as a free, open Model Context Protocol server you can install into Claude Desktop, Cursor, or any MCP-compatible client.

Is the docalyze MCP server free to use?

Yes. docalyze is listed on AllMCPs as a free, open Model Context Protocol server you can install into Claude Desktop, Cursor, or any MCP-compatible client.

Docalyze

Read and analyze local documents (PDF, Excel, CSV, Word, PowerPoint, images). No API keys needed.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Install Config Generator

Choose your client

claude_desktop_config.json

{
  "mcpServers": {
    "docalyze": {
      "command": "npx",
      "args": [
        "-y",
        "docalyze"
      ]
    }
  }
}

💡 Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Documentation Overview

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

Terminal

pip install docalyze-mcp-server

From npm

Terminal

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):

JSON Config

{
  "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:

JSON Config

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

Optional Dependencies

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

bash

# 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:

JSON Config

{
  "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

Related MCP Servers

View all in Workplace & Productivity View all alternatives

Frequently Asked Questions about Docalyze

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "docalyze": { "command": "npx", "args": ["-y", "docalyze"] } }

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Technical Specs & Signals

CategoryWorkplace & Productivity

27Quality signal: Emerging · 27/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20

Documentation & tools11/30

Adoption & activity1/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

★ Featured

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The official MCP server for AllMCPs.com - submit and manage tools directly from your AI. The open directory for MCP servers. Connect Claude, Cursor, Windsurf, and AI agents to databases, tools, files, and APIs. Explore 3,181+ servers. AllMCPs is the premier, open directory for discovering, evaluating, and installing Model Context Protocol (MCP) servers to equip AI agents and LLMs with real-world superpowers.

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More in 🏢 Workplace & Productivity →Best MCP servers for Workplace & Productivity →Alternatives to Docalyze →Install in Claude Desktop Install in Cursor Install in VS Code

Docalyze

Read and analyze local documents (PDF, Excel, CSV, Word, PowerPoint, images). No API keys needed.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Install Config Generator

Choose your client

claude_desktop_config.json

{
  "mcpServers": {
    "docalyze": {
      "command": "npx",
      "args": [
        "-y",
        "docalyze"
      ]
    }
  }
}

💡 Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Documentation Overview

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

Terminal

pip install docalyze-mcp-server

From npm

Terminal

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):

JSON Config

{
  "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:

JSON Config

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

Optional Dependencies

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

bash

# 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:

JSON Config

{
  "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

Related MCP Servers

View all in Workplace & Productivity View all alternatives

Frequently Asked Questions about Docalyze

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "docalyze": { "command": "npx", "args": ["-y", "docalyze"] } }

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/docalyze?style=directory)](https://allmcps.com/mcp/docalyze)

HTML Embed

<a href="https://allmcps.com/mcp/docalyze"><img src="https://allmcps.com/api/badge/docalyze?style=directory" alt="Docalyze on AllMCPs" /></a>

Technical Specs & Signals

CategoryWorkplace & Productivity

27Quality signal: Emerging · 27/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20

Documentation & tools11/30

Adoption & activity1/15

Community engagement0/10

★ Featured

AllMCPs Server

Explore Server →

Own this project?

This directory is pre-filled from public sources. Claim via GitHub README, site badge, or DNS TXT to get the verified badge and attach your website.

Free dofollow backlink: after claiming, verify your product site and place a dofollow AllMCPs badge — we recheck it stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 🏢 Workplace & Productivity →Best MCP servers for Workplace & Productivity →Alternatives to Docalyze →Install in Claude Desktop Install in Cursor Install in VS Code