MCP Servers
BlackMount-ai/blackmount-nlp-mcp
NLP without the bloat — sentiment, keywords, readability, summarization. No NLTK, no spaCy. Zero heavy dependencies.
Our verdict
We have not reviewed BlackMount-ai/blackmount-nlp-mcp yet
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From the listing
About BlackMount-ai/blackmount-nlp-mcp
A lightweight NLP library for sentiment analysis, keyword extraction, readability scoring, and text summarization. It avoids heavy dependencies like NLTK or spaCy, aiming for a minimal footprint.
Best for
Developers who need basic NLP without adding large dependencies
Use cases
- Extract keywords from short text snippets
- Compute readability scores for documents
- Perform basic sentiment analysis on user feedback
Notes
1 stars on GitHub. Last updated 2026-05-27. Licensed MIT.
Pros
- Zero heavy dependencies, easy to install and deploy
- Covers common NLP tasks in a single package
- Simple API suitable for quick prototyping
Cons
- Very small community (1 star) with limited support
- May lack accuracy or features compared to established libraries
- Unclear if it handles non-English text or large volumes
Key facts
What we have checked
Not checked yet. Dated facts such as prices, releases and repository activity appear here once we have confirmed them from a source.
Install
Add BlackMount-ai/blackmount-nlp-mcp to your client
No install recipe yet. We write one for Claude Code, Claude Desktop, Cursor, VS Code, Codex and ChatGPT when the server is in the official MCP registry with a package or remote address we can use.
Until then, follow the project's own README.
Works with
What BlackMount-ai/blackmount-nlp-mcp connects to
No confirmed connections yet. A product appears here when the server's registry name, repo, homepage or name ties it to that product, and a client appears when we have an install recipe for it.
Sources
Where this comes from
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Changelog
What changed
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