Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
Convert unstructured business documents (PDF, DOCX, invoices, contracts, payroll) into structured, LLM-ready datasets with automatic classification, field extraction, PII masking (10+ locales), and quality scoring. 6 async MCP tools covering the full pipeline: submit → poll → extract → build → export JSONL/RAG/CSV. Install: pip install flexorch-mcp.
Deterministic semantic word encoding and valence/sentiment analysis using 145K+ word lexicon. Provides word-to-code mapping, semantic similarity, synonym/antonym lookup with zero runtime NLP dependencies.