blackmount-nlp-mcp
Deterministic local text analysis for Claude Desktop, Cursor, Cline, and any MCP client. Built by Blackmount.
45 text analysis tools as a FastMCP server — sentiment, readability, keywords, similarity, summarization, language detection. No NLTK. No spaCy. No transformers. No API keys. One dependency (mcp[cli]), 42 KB wheel, installs in seconds. Python 3.10+.
Why this exists
| blackmount-nlp-mcp | NLTK | spaCy | transformers | |
|---|---|---|---|---|
| Wheel size | 42 KB | 1.5 MB | 6 MB+ (+ models) | 10 MB+ (+ models) |
| Direct dependencies | 1 | many | many | many |
| Tokenization | ✅ | ✅ | ✅ | ✅ |
| Sentiment analysis | ✅ | ✅ | ❌ | ✅ |
| Readability scores | ✅ | ❌ | ❌ | ❌ |
| Keyword extraction | ✅ | ✅ | ❌ | ❌ |
| Text similarity | ✅ | ✅ | ✅ | ✅ |
| Language detection | ✅ (18 langs) | ❌ | ❌ | ❌ |
Everything is implemented from scratch in pure Python — Porter stemmer, TF-IDF, RAKE, Levenshtein, VADER-style sentiment, Flesch / Gunning Fog / Coleman-Liau / ARI / SMOG readability, extractive summarization, language detection — plus a built-in 2000+ word sentiment lexicon and 500+ stopword list, all baked into the package.
