Read and analyze local documents (PDF, Excel, CSV, Word, PowerPoint, images). No API keys needed.
Runs on your machine from its package; the steps are below.
At most: only reads or looks up information.
Odel charges nothing per call. The publisher may charge for its own service.
Runs locally over stdio
This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).
Run
uvx docalyze-mcp-server
MCP client config
{
"mcpServers": {
"docalyze": {
"command": "uvx",
"args": [
"docalyze-mcp-server"
]
}
}
}Run
npx -y docalyze-mcp-server
MCP client config
{
"mcpServers": {
"docalyze": {
"command": "npx",
"args": [
"-y",
"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.
| 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 | — | ✅ |
| 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 |
Search for docalyze in the MCP server gallery (Extensions sidebar → MCP tab) and click Install.
pip install docalyze-mcp-server
npx docalyze-mcp-server
This requires uv or pipx installed — the npm wrapper calls uvx to run the Python package automatically.
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"
}
}
}
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]
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.
MIT