spaCy

MCP Servers for spaCy

spaCy is an open-source natural language processing (NLP) library designed for production use, focusing on efficient tokenization, parsing, named entity recognition, and other text processing tasks.

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Why this server?
Used for natural language processing tasks within the semantic analysis pipeline, with specific instructions for downloading the English language model.
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angrysky56
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security
A
license
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quality
An MCP server that transforms text into knowledge graphs and autonomously generates insights by combining Montague Grammar with Zettelkasten methodology.
Last updated -
4
Python
MIT License
Why this server?
Leverages spaCy for multilingual named entity recognition (NER) preprocessing, automatically detecting the language of input text and extracting potential entities before passing to the LLM.
Flexible Key-Value Extracting MCP Server
KunihiroS
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security
A
license
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quality
Extracts structured key-value pairs from arbitrary, noisy, or unstructured text using LLMs and provides output in multiple formats (JSON, YAML, TOML) with type safety.
Last updated -
1
Python
GPL 3.0
Why this server?
Leverages spaCy's NLP capabilities for resume parsing, skills extraction, and text analysis to process candidate information.
Resume Analysis MCP Server
sms03
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security
F
license
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quality
An intelligent server that processes and evaluates resumes by extracting structured data, analyzing skills and experience, scoring candidates against job requirements, and generating detailed reports.
Last updated -
Python

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Flexible Key-Value Extracting MCP Server

Resume Analysis MCP Server