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AI & MLAuto-generatedScore: 28

Text Analytics Client MCP Server

The Text Analytics API is a suite of text analytics web services built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction and language detection. No training data is needed to use this

Quick Answer

  1. 1. The Text Analytics Client MCP server lets Claude, Cursor, and VS Code interact with the Text Analytics Client API through natural language.
  2. 2. Setup: Add the config to claude_desktop_config.json, set your environment variables, and restart.
  3. 3. 4 operations available including The API returns a list of recognized entities in a given document., The API returns a list of strings denoting the key talking points in the input text., The API returns the detected language and a numeric score between 0 and 1., and more.
  4. 4. Quality score: 28/99 — fair source quality and documentation coverage.

Overview

Category: AI & ML

Auth: None

Endpoints: 4

Transport: STDIO

Command: npx -y @mcp/azure-com-cognitiveservices-textanalytics

Spec: vv2.0

Setup time: ~30 sec (no auth)

Environment Variables

TEXT_ANALYTICS_CLIENT_API_KEY

Example: your_text_analytics_client_api_key

One-Click Install

Copy the snippet for your MCP client and paste it in — zero editing required.

Claude Desktop

Add to claude_desktop_config.json

{
  "mcpServers": {
    "azure-com-cognitiveservices-textanalytics": {
      "command": "npx",
      "args": [
        "-y",
        "@mcp/azure-com-cognitiveservices-textanalytics"
      ],
      "env": {
        "TEXT_ANALYTICS_CLIENT_API_KEY": "your_text_analytics_client_api_key"
      }
    }
  }
}
Deep link

Cursor

Settings → MCP Servers → Add

{
  "mcpServers": {
    "azure-com-cognitiveservices-textanalytics": {
      "url": "https://mcpbridge.org/config/azure-com-cognitiveservices-textanalytics.json"
    }
  }
}

Saves as .cursor/mcp.json in the download. Move it to your project root.

Deep link install →

VS Code

Use with MCP extension

{
  "mcpServers": {
    "azure-com-cognitiveservices-textanalytics": {
      "url": "https://mcpbridge.org/config/azure-com-cognitiveservices-textanalytics.json"
    }
  }
}

MCP Server Configuration

Add this to your claude_desktop_config.json or Cursor MCP settings.

{
  "mcpServers": {
    "azure-com-cognitiveservices-textanalytics": {
      "command": "npx",
      "args": ["-y","@mcp/azure-com-cognitiveservices-textanalytics"],
      "env": {
      "TEXT_ANALYTICS_CLIENT_API_KEY": "your_text_analytics_client_api_key"
}
    }
  }
}

What You Can Build

With the Text Analytics Client MCP server, your AI assistant can:

  • Access 4 API operations through natural language
  • Read, create, and modify ai & ml resources without writing HTTP requests
  • Chain multiple operations in a single conversation for complex workflows
  • Combine with other MCP servers for cross-tool automation

Endpoints

POST/entities

The API returns a list of recognized entities in a given document.

POST/keyPhrases

The API returns a list of strings denoting the key talking points in the input text.

POST/languages

The API returns the detected language and a numeric score between 0 and 1.

POST/sentiment

The API returns a numeric score between 0 and 1.

Authentication

No authentication required. This MCP server can be used without API keys.

Spec Version

Version: v2.0

Spec version published with the OpenAPI document. Config auto-updates when the spec changes.

Page last updated: June 13, 2026

Quality Score

28/99Fair
  • +Auto-generated (+12)
  • +OpenAPI spec available (+8)
  • +4 endpoints (+8)

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