Read and analyze local documents (PDF, Excel, CSV, Word, PowerPoint, images). No API keys needed.
Read and analyze local documents (PDF, Excel, CSV, Word, PowerPoint, images). No API keys needed. The docalyze mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 4 defined tools rather than through you.
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.
Everything the assistant can do here goes through one of these:
list_documents — List files under a directory, filtered by glob patterndocument_info — Get metadata (size, modified date, sheets) for a fileread_document — Extract text content from a document with paginationvisual_evaluate_document — Return page images inline so the AI can analyze charts, tables, and diagramsInstallation goes through your MCP client rather than a global install: point it at docalyze-mcp-server on npm and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
You will need 2 environment variables: PYTHONIOENCODING, DOCUMENTS_ROOT. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Plenty of file and storage access servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Docalyze's toolset — list_documents, document_info, read_document and 1 more — is a fair guide to whether it matches your workflow. It is maintained by LunarPerovskite; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| 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 |
{
"mcpServers": {
"docalyze": {
"command": "npx",
"args": ["-y", "docalyze-mcp-server"],
"env": {
"PYTHONIOENCODING": "your-value",
"DOCUMENTS_ROOT": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| PYTHONIOENCODING | Configuration value read at startup. | Optional |
| DOCUMENTS_ROOT | Configuration value read at startup. | Optional |
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