io.github.LunarPerovskite/docalyze
Read and analyze local documents (PDF, Excel, CSV, Word, PowerPoint, images). No API keys needed.
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
docalyze-mcp-serverclaude mcp add docalyze -- uvx docalyze-mcp-server==0.2.1
{
"mcpServers": {
"docalyze": {
"command": "uvx",
"args": [
"docalyze-mcp-server==0.2.1"
]
}
}
}
docalyze-mcp-serverclaude mcp add docalyze -- npx -y docalyze-mcp-server@0.2.1
{
"mcpServers": {
"docalyze": {
"command": "npx",
"args": [
"-y",
"docalyze-mcp-server@0.2.1"
]
}
}
}
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Contents
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 | ✅ | ✅ | |
| 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
Frequently asked questions
What is io.github.LunarPerovskite/docalyze?
Read and analyze local documents (PDF, Excel, CSV, Word, PowerPoint, images). No API keys needed.
How do I install io.github.LunarPerovskite/docalyze?
It runs on your machine. In Claude Code: claude mcp add docalyze -- uvx docalyze-mcp-server==0.2.1. For other clients, paste the JSON configuration from this page into their MCP settings.
Does io.github.LunarPerovskite/docalyze need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is io.github.LunarPerovskite/docalyze open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains io.github.LunarPerovskite/docalyze?
It is published by LunarPerovskite. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.