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.
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.
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.