"Information about Word DOCX files" matching MCP connectors:

Scans text for personally identifiable information — emails, phone numbers, SSNs, credit card numbers, physical addresses, names — and returns a redacted version. Built for agents sanitizing user content, support tickets, logs, or documents before storage, sharing, or feeding into another LLM call. Pay-per-call via x402 (USDC on Base): $0.01/call, no account or API key. tools/list and /openapi.json are free for discovery.

AI access to Quadratic spreadsheets: open files, run Python/SQL, query connected databases.

Unstructured document processing for LLM pipelines. Upload as PDF/DOCX/TXT any supported files, extract structured data (PII-redacted), build LLM-ready datasets, and search/export results — all via MCP tools (document.process, job.status, job.result, dataset.build, dataset.search, dataset.export).

The all-in-one data stack for agents. Upload files, run SQL, evolve tables, and render charts.

Convert between 200+ format pairs: JSON, CSV, XML, YAML, PDF, Excel, DOCX and more.