Mhlabs_mcp_tools

Name: Mhlabs_mcp_tools
Author: MusaddiqueHussainLabs

by MusaddiqueHussainLabscommunityv3.0.0

The mhlabs-mcp-tools is a Modular MCP Tools Server that provides an extendable AI tool ecosystem for text preprocessing, NLP components, and document analysis, which can be dynamically loaded and served through the Model Context Protocol (MCP).

From the registry: An MCP server that provides text preprocessing, NLP components, and document analysis

GitHub Repository

Install & configure

Prerequisites

required
Python 3.x
Required runtime
required
FastMCP and dependencies
Install project dependencies
```
$ pip install -r requirements.txt
```

Install in your client

Paste into the AI you're chatting with — it will figure out the rest

Please install the `mhlabs_mcp_tools` MCP server into my current AI client (that's you).

Required prerequisites (do these first if not already done):
- **Python 3.x** — Required runtime
- **FastMCP and dependencies** — Install project dependencies Run: `pip install -r requirements.txt`

Canonical MCP server config (stdio transport):
- command: `python`
- args: ["-m","mhlabs_mcp_tools.mcp_server"]
- optional environment variables:
  - `MCP_ENABLE_AUTH`: Enable Azure AD authentication (set to false for local dev) (example: `false`)
  - `AZURE_TENANT_ID`: Azure AD tenant ID (required when MCP_ENABLE_AUTH=true) (example: `<your-tenant-id>`)
  - `AZURE_CLIENT_ID`: Azure AD client ID (required when MCP_ENABLE_AUTH=true) (example: `<your-client-id>`)

Note: Modular MCP tools server with NLP and text preprocessing capabilities (tokenization, POS tagging, NER, lemmatization, contraction expansion, etc.). No pip package — requires cloning the repo. HTTP transport also supported via --transport http --port 9000.

Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.

Note: Modular MCP tools server with NLP and text preprocessing capabilities (tokenization, POS tagging, NER, lemmatization, contraction expansion, etc.). No pip package — requires cloning the repo. HTTP transport also supported via --transport http --port 9000.