What is the Amazon Kinesis Analytics MCP server?

The Amazon Kinesis Analytics MCP server provides an AI agent (Claude, Cursor, VS Code) with direct access to the Amazon Kinesis Analytics API. Using the Model Context Protocol, it lets you interact with Amazon Kinesis Analytics through natural language commands.

How do I set up the Amazon Kinesis Analytics MCP server in Claude Desktop?

Copy the MCP config from this page, paste it into your claude_desktop_config.json file under mcpServers, set the required environment variables (none), and restart Claude Desktop.

What tools does the Amazon Kinesis Analytics MCP server expose?

The server exposes 10 operations including AddApplicationCloudWatchLoggingOption, AddApplicationInput, AddApplicationInputProcessingConfiguration, and more.

Does the Amazon Kinesis Analytics MCP server require an API key?

No, this MCP server requires no authentication.

What are alternatives to the Amazon Kinesis Analytics MCP server?

You can also use the built-in MCP converter tool at mcpbridge.org/convert to generate custom configs from any OpenAPI spec, or browse similar APIs in the Security category on our directory.

SecurityAuto-generatedScore: 46

Amazon Kinesis Analytics MCP Server

Amazon Kinesis Data Analytics is a fully managed service that you can use to process and analyze streaming data using Java, SQL, or Scala. The service enables you to quickly author and run Java, SQL, or Scala code against streaming sources to perform time series analytics, feed real-time dashboards,

Quick Answer

1. The Amazon Kinesis Analytics MCP server lets Claude, Cursor, and VS Code interact with the Amazon Kinesis Analytics API through natural language.
2. Setup: Add the config to claude_desktop_config.json, set your environment variables, and restart.
3. 10 operations available including AddApplicationCloudWatchLoggingOption, AddApplicationInput, AddApplicationInputProcessingConfiguration, and more.
4. Quality score: 46/99 — fair source quality and documentation coverage.

Overview

Category: Security

Auth: None

Endpoints: 10

Transport: STDIO

Command: npx -y @mcp/amazonaws-com-kinesisanalyticsv2

Spec: v2018-05-23

Setup time: ~30 sec (no auth)

Environment Variables

AMAZON_KINESIS_ANALYTICS_API_KEY

Example: your_amazon_kinesis_analytics_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": {
    "amazonaws-com-kinesisanalyticsv2": {
      "command": "npx",
      "args": [
        "-y",
        "@mcp/amazonaws-com-kinesisanalyticsv2"
      ],
      "env": {
        "AMAZON_KINESIS_ANALYTICS_API_KEY": "your_amazon_kinesis_analytics_api_key"
      }
    }
  }
}

Deep link

Cursor

Settings → MCP Servers → Add

{
  "mcpServers": {
    "amazonaws-com-kinesisanalyticsv2": {
      "url": "https://mcpbridge.org/config/amazonaws-com-kinesisanalyticsv2.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": {
    "amazonaws-com-kinesisanalyticsv2": {
      "url": "https://mcpbridge.org/config/amazonaws-com-kinesisanalyticsv2.json"
    }
  }
}

MCP Server Configuration

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

{
  "mcpServers": {
    "amazonaws-com-kinesisanalyticsv2": {
      "command": "npx",
      "args": ["-y","@mcp/amazonaws-com-kinesisanalyticsv2"],
      "env": {
      "AMAZON_KINESIS_ANALYTICS_API_KEY": "your_amazon_kinesis_analytics_api_key"
}
    }
  }
}

What You Can Build

With the Amazon Kinesis Analytics MCP server, your AI assistant can:

Access 10 API operations through natural language
Read, create, and modify security 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/#X-Amz-Target=KinesisAnalytics_20180523.AddApplicationCloudWatchLoggingOption

AddApplicationCloudWatchLoggingOption

POST/#X-Amz-Target=KinesisAnalytics_20180523.AddApplicationInput

AddApplicationInput

POST/#X-Amz-Target=KinesisAnalytics_20180523.AddApplicationInputProcessingConfiguration

AddApplicationInputProcessingConfiguration

POST/#X-Amz-Target=KinesisAnalytics_20180523.AddApplicationOutput

AddApplicationOutput

POST/#X-Amz-Target=KinesisAnalytics_20180523.AddApplicationReferenceDataSource

AddApplicationReferenceDataSource

POST/#X-Amz-Target=KinesisAnalytics_20180523.AddApplicationVpcConfiguration

AddApplicationVpcConfiguration

POST/#X-Amz-Target=KinesisAnalytics_20180523.CreateApplication

CreateApplication

POST/#X-Amz-Target=KinesisAnalytics_20180523.CreateApplicationPresignedUrl

CreateApplicationPresignedUrl

POST/#X-Amz-Target=KinesisAnalytics_20180523.CreateApplicationSnapshot

CreateApplicationSnapshot

POST/#X-Amz-Target=KinesisAnalytics_20180523.DeleteApplication

DeleteApplication

Documentation →

Authentication

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

Spec Version

Version: 2018-05-23

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

Page last updated: June 13, 2026

Quality Score

46/99Fair

+Auto-generated (+12)
+Has documentation (+12)
+OpenAPI spec available (+8)
+10 endpoints (+14)

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