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

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

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

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (4)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Docalyze.

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

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

Read the full README →View source on GitHub →

Related MCP Servers

View all in Workplace & Productivity View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

npm downloads

239

Package downloads in the last 30 days.

Last commit

4mo ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Docalyze

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

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Technical Specs & Signals

CategoryWorkplace & Productivity

3/4 checks healthy over the last 45d

49Quality signal: Fair · 49/100How 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 ownership10/20

Documentation & tools24/30

Adoption & activity3/15

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.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 1d ago via OSV.dev · docalyze-mcp-server (npm)

★ Featured

AllMCPs Server

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 10,000+ 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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Explore more

More in 🏢 Workplace & Productivity →Best MCP servers for Workplace & Productivity →Best PDF MCP servers →Alternatives to Docalyze →Install in Claude Desktop Install in Cursor Install in VS Code Setup guides for all 13 MCP clients

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

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

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

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (4)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Docalyze.

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

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

Read the full README →View source on GitHub →

Related MCP Servers

View all in Workplace & Productivity View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

npm downloads

239

Package downloads in the last 30 days.

Last commit

4mo ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Docalyze

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

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

3/4 checks healthy over the last 45d

49Quality signal: Fair · 49/100How 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 ownership10/20

Documentation & tools24/30

Adoption & activity3/15

Community engagement0/10

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 1d ago via OSV.dev · docalyze-mcp-server (npm)

★ Featured

AllMCPs Server

Explore Server →

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

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