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licenseB
qualityD
maintenanceAnalyzes survey comments from CSV files using morphological analysis and AI to generate interactive HTML dashboards with word clouds, keyword rankings, and actionable insights in Japanese or English.
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MIT
Best spaCy MCP Servers
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.
Why this server?
Performs morphological analysis and natural language processing for English survey comments, including keyword extraction and frequency analysis
Why this server?
Used for natural language processing tasks within the semantic analysis pipeline, with specific instructions for downloading the English language model.
AlicenseBqualityDmaintenanceAn MCP server that transforms text into knowledge graphs and autonomously generates insights by combining Montague Grammar with Zettelkasten methodology.2311MITWhy this server?
Uses spaCy for claim extraction from draft text.
AlicenseNot gradedqualityDmaintenanceA citation-finding research assistant for scientists, exposed as an MCP server that extracts claims from draft paragraphs, searches multiple academic sources, scores paper quality, and explains recommendations.MITWhy this server?
Integrates with spaCy's tokenizer model for advanced text processing and semantic chunking with context headers when processing documents.
AlicenseNot gradedqualityBmaintenanceArchive Agent is an open-source semantic file tracker with OCR + AI search (RAG) and MCP capability.64GPL 3.0Why this server?
Uses spaCy for natural language processing in semantic decomposition and neuro-symbolic query parsing.
AlicenseNot gradedqualityNot gradedmaintenanceProvides tools for semantic decomposition, proof search, knowledge graph operations, and neuro-symbolic reasoning that bridges neural LLMs with symbolic AI through RDF triples, lambda calculus, and compositional intelligence principles.-Why this server?
Embedding provider (SpacyEmbeddingProvider with the en_core_web_lg model) offering fully local, zero-API-key vector generation for retrieval.
AlicenseNot gradedqualityBmaintenanceEnables MCP-compatible agents such as Claude and Cursor to retrieve permission-aware, structured context from local or hosted data stores. Exposes tools for semantic search, entity and relationship lookup, memory access, context pack compilation, source attribution, and retrieval explanation.1Apache 2.0Why this server?
Leverages spaCy's NLP capabilities for resume parsing, skills extraction, and text analysis to process candidate information.
AlicenseNot gradedqualityDmaintenanceAn intelligent server that processes and evaluates resumes by extracting structured data, analyzing skills and experience, scoring candidates against job requirements, and generating detailed reports.MITWhy this server?
Integrates with spaCy for named entity recognition in memory contents.
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.
AlicenseNot gradedqualityDmaintenanceExtracts structured key-value pairs from arbitrary, noisy, or unstructured text using LLMs and provides output in multiple formats (JSON, YAML, TOML) with type safety.1GPL 3.0