20 Tools
Extract text, tables, images, metadata. Analyze structure. Convert to Markdown. Index for on-demand fetching.
You have Office documents. Lots of them. Some are modern .docx files. Others are .doc files from 1997 that predate Unicode. Your AI agent needs to read them, but native PDF-to-text tools just stare blankly.
mcwaddams handles what nobody else wants to touch.
20 Tools
Extract text, tables, images, metadata. Analyze structure. Convert to Markdown. Index for on-demand fetching.
Legacy Support
.doc, .xls, .ppt — the formats everyone forgot about until they need them. We didn’t forget.
Smart Fallbacks
When python-docx chokes, mammoth steps in. When openpyxl fails, pandas takes over. No silent failures.
MCP Resources
Index once, fetch chapters/sheets/slides on demand. Keep your context window manageable.
# With uvx (recommended)uvx mcwaddams
# Add to Claude Codeclaude mcp add mcwaddams "uvx mcwaddams"This documentation follows the Diátaxis framework:
“Did you get the memo about the TPS reports?”
We take testing seriously. Check out our Test Dashboard for live results, or browse the Torture Tests where we threw 301 random Office documents at mcwaddams.
Result: 99.3% success rate. The 2 failures were empty/corrupt files.
Named for Milton Waddams, who was relocated to the basement with the legacy documents.