Amazon Kinesis MCP Server
Amazon Kinesis Data Streams (KDS) is a fully managed, scalable service provided by Amazon Web Services (AWS) designed for real-time ingestion, buffering, and processing of streaming data at massive scale.
Quick Start Summary
The Amazon Kinesis MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the Amazon Kinesis API through natural language. It exposes 10 API endpoints as callable tools, such as AddTagsToStream, CreateStream, DecreaseStreamRetentionPeriod, and more. No authentication is required — setup takes approximately 30 seconds. The server uses STDIO transport and can be installed by running npx -y @mcp/amazonaws-com-kinesis. This integration is sourced from the auto Amazon Kinesis OpenAPI specification (v2013-12-02) and has a quality score of 46/99 (fair documentation coverage).
Server Details
- Category
- Data & Analytics
- Authentication
- None
- Endpoints
- 10 operations
- Transport
- STDIO
- Spec Version
- v2013-12-02
- Install Command
npx -y @mcp/amazonaws-com-kinesis
Environment Variables
AMAZON_KINESIS_API_KEYExample: your_amazon_kinesis_api_key
Top Endpoints
/#X-Amz-Target=Kinesis_20131202.AddTagsToStreamAddTagsToStream
/#X-Amz-Target=Kinesis_20131202.CreateStreamCreateStream
/#X-Amz-Target=Kinesis_20131202.DecreaseStreamRetentionPeriodDecreaseStreamRetentionPeriod
/#X-Amz-Target=Kinesis_20131202.DeleteStreamDeleteStream
/#X-Amz-Target=Kinesis_20131202.DeregisterStreamConsumerDeregisterStreamConsumer
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"
}
}
}
}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.
VS Code
Use with MCP extension
{
"mcpServers": {
"amazonaws-com-kinesis": {
"url": "https://mcpbridge.org/config/amazonaws-com-kinesis.json"
}
}
}Endpoints Explorer
Search and browse the 10 operations supported by this server.
Multi-Language Code Examples
Executable code snippets for calling Amazon Kinesis endpoints in curl, TypeScript, or Python.
curl -X POST "https://api.apis.guru/v2/specs/amazonaws.com/kinesis/2013-12-02/#X-Amz-Target=Kinesis_20131202.AddTagsToStream" \ -H "Content-Type: application/json" \ # No auth required
Manual Configuration
Directly add this block to your JSON config file, or use the hosted config registry URL.
{
"mcpServers": {
"amazonaws-com-kinesis": {
"command": "npx",
"args": ["-y","@mcp/amazonaws-com-kinesis"],
"env": {
"AMAZON_KINESIS_API_KEY": "your_amazon_kinesis_api_key"
}
}
}
}Authentication Details
No authentication required. This MCP server runs out-of-the-box.
Documentation Links
Error Handling & HTTP Status Code Matrix
Common status codes, error causes, and resolution steps when invoking Amazon Kinesis endpoints.
400 Bad RequestCause: Malformed payload parameters or missing required fields.
Resolution: Verify request schema in Endpoints tab before calling tool.
401 UnauthorizedCause: Missing or invalid API key credentials.
Resolution: Set environment variable in MCP client config under env object.
403 ForbiddenCause: Insufficient scope permissions for requested resource.
Resolution: Verify key permissions in developer dashboard.
404 Not FoundCause: Resource URL path or requested entity ID does not exist.
Resolution: Check path variables and parameters.
429 Rate Limit ExceededCause: API rate limit quota exceeded.
Resolution: Implement exponential backoff retry in tool call.
500 Internal ErrorCause: Upstream server runtime fault.
Resolution: Inspect STDIO stderr output for log trace.
Quality Score
Checked against our protocol-compliance rules.
Specification Version: v2013-12-02
Page compiled on: June 13, 2026
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📖 Detailed MCP Integration Guide
A technical breakdown of capabilities, agent workflows, and security/configuration best practices.
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