An MCP server that provides text preprocessing, NLP components, and document analysis
{
"mcpServers": {
"mhlabs-mcp-tools": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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An MCP server that provides text preprocessing, NLP components, and document analysis
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Last commit 137 days ago.
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Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
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mcp-name: io.github.MusaddiqueHussainLabs/mhlabs_mcp_tools
mhlabs-mcp-tools is a Modular MCP Tools Server built using FastMCP.
It provides an extendable AI tool ecosystem organized into functional categories (Text Preprocessing, NLP Components, Document Analysis, etc.) that can be dynamically loaded and served through MCP (Model Context Protocol) via STDIO transport.
This project is part of the MHLabs AI Agentic Ecosystem, designed to work with mhlabs-mcp-server, mhlabs-mcp-agents, and downstream A2A agent frameworks.
mhlabs_mcp_tools/
├── .gitignore
├── .vscode/
│ └── settings.json
├── CHANGELOG.md
├── LICENSE
├── README.md
├── docs/
│ └── index.md
├── examples/
│ ├── example_client.py
│ └── example_client_http.py
├── mkdocs.yml
├── pyproject.toml
├── requirements.txt
├── server.json
└── src/
├── __init__.py
├── main.py
└── mhlabs_mcp_tools/
├── __init__.py
├── core/
│ ├── __init__.py
│ ├── config.py
│ ├── constants.py
│ ├── factory.py
│ └── prompts.py
├── data/
│ ├── __init__.py
│ ├── external/
│ │ └── __init__.py
│ ├── interim/
│ │ └── __init__.py
│ ├── processed/
│ │ └── __init__.py
│ └── raw/
│ ├── __init__.py
│ ├── contractions_dict.json
│ ├── custom_substitutions.csv
│ ├── leftovers_dict.json
│ └── slang_dict.json
├── handlers/
│ ├── __init__.py
│ ├── custom_exceptions.py
│ └── output_generator.py
├── mcp_server.py
├── models/
│ └── __init__.py
├── nlp_components/
│ ├── __init__.py
│ └── nlp_model.py
├── services/
│ ├── __init__.py
│ ├── langchain_framework.py
│ └── spacy_extractor.py
└── text_preprocessing/
├── __init__.py
├── contractions.py
├── emo_unicode.py
├── slang_text.py
└── text_preprocessing.py
Currently the package is organized into three primary modules:
| Component Type | Description | |----------------|-----------------------------| | tokenize | Text tokenization | | pos | Part-of-Speech tagging | | lemma | Word lemmatization | | morphology | Study of word forms | | dep | Dependency parsing | | ner | Named Entity Recognition | | norm | Text normalization |
This module equips users with an extensive set of text preprocessing tools:
| Function | Description | |-------------------------------|------------------------------------------------------| | to_lower | Convert text to lowercase | | to_upper | Convert text to uppercase | | remove_number | Remove numerical characters | | remove_itemized_bullet_and_numbering | Elim