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Data & AnalyticsAuto-generatedScore: 46

Amazon Kinesis MCP Server

<fullname>Amazon Kinesis Data Streams Service API Reference</fullname> <p>Amazon Kinesis Data Streams is a managed service that scales elastically for real-time processing of streaming big data.</p>

Quick Answer

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

Overview

Category: Data & Analytics

Auth: None

Endpoints: 10

Transport: STDIO

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

Spec: v2013-12-02

Setup time: ~30 sec (no auth)

Environment Variables

AMAZON_KINESIS_API_KEY

Example: your_amazon_kinesis_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-kinesis": {
      "command": "npx",
      "args": [
        "-y",
        "@mcp/amazonaws-com-kinesis"
      ],
      "env": {
        "AMAZON_KINESIS_API_KEY": "your_amazon_kinesis_api_key"
      }
    }
  }
}
Deep link

Cursor

Settings → MCP Servers → Add

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

MCP Server Configuration

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

{
  "mcpServers": {
    "amazonaws-com-kinesis": {
      "command": "npx",
      "args": ["-y","@mcp/amazonaws-com-kinesis"],
      "env": {
      "AMAZON_KINESIS_API_KEY": "your_amazon_kinesis_api_key"
}
    }
  }
}

What You Can Build

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

  • Access 10 API operations through natural language
  • Read, create, and modify data & analytics 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=Kinesis_20131202.AddTagsToStream

AddTagsToStream

POST/#X-Amz-Target=Kinesis_20131202.CreateStream

CreateStream

POST/#X-Amz-Target=Kinesis_20131202.DecreaseStreamRetentionPeriod

DecreaseStreamRetentionPeriod

POST/#X-Amz-Target=Kinesis_20131202.DeleteStream

DeleteStream

POST/#X-Amz-Target=Kinesis_20131202.DeregisterStreamConsumer

DeregisterStreamConsumer

POST/#X-Amz-Target=Kinesis_20131202.DescribeLimits

DescribeLimits

POST/#X-Amz-Target=Kinesis_20131202.DescribeStream

DescribeStream

POST/#X-Amz-Target=Kinesis_20131202.DescribeStreamConsumer

DescribeStreamConsumer

POST/#X-Amz-Target=Kinesis_20131202.DescribeStreamSummary

DescribeStreamSummary

POST/#X-Amz-Target=Kinesis_20131202.DisableEnhancedMonitoring

DisableEnhancedMonitoring

Documentation →

Authentication

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

Spec Version

Version: 2013-12-02

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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