Amazon Kinesis Firehose MCP Server
Amazon Kinesis Data Firehose is a fully managed service provided by Amazon Web Services (AWS) designed to reliably capture, transform, and load streaming data at scale into AWS data stores and analytics services.
Quick Start Summary
The Amazon Kinesis Firehose 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 Firehose API through natural language. It exposes 10 API endpoints as callable tools, such as CreateDeliveryStream, DeleteDeliveryStream, DescribeDeliveryStream, 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-firehose. This integration is sourced from the auto Amazon Kinesis Firehose OpenAPI specification (v2015-08-04) 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
- v2015-08-04
- Install Command
npx -y @mcp/amazonaws-com-firehose
Environment Variables
AMAZON_KINESIS_FIREHOSE_API_KEYExample: your_amazon_kinesis_firehose_api_key
Top Endpoints
/#X-Amz-Target=Firehose_20150804.CreateDeliveryStreamCreateDeliveryStream
/#X-Amz-Target=Firehose_20150804.DeleteDeliveryStreamDeleteDeliveryStream
/#X-Amz-Target=Firehose_20150804.DescribeDeliveryStreamDescribeDeliveryStream
/#X-Amz-Target=Firehose_20150804.ListDeliveryStreamsListDeliveryStreams
/#X-Amz-Target=Firehose_20150804.ListTagsForDeliveryStreamListTagsForDeliveryStream
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-firehose": {
"command": "npx",
"args": [
"-y",
"@mcp/amazonaws-com-firehose"
],
"env": {
"AMAZON_KINESIS_FIREHOSE_API_KEY": "your_amazon_kinesis_firehose_api_key"
}
}
}
}Cursor
Settings → MCP Servers → Add
{
"mcpServers": {
"amazonaws-com-firehose": {
"url": "https://mcpbridge.org/config/amazonaws-com-firehose.json"
}
}
}Saves as .cursor/mcp.json in the download. Move it to your project root.
VS Code
Use with MCP extension
{
"mcpServers": {
"amazonaws-com-firehose": {
"url": "https://mcpbridge.org/config/amazonaws-com-firehose.json"
}
}
}Endpoints Explorer
Search and browse the 10 operations supported by this server.
Multi-Language Code Examples
Executable code snippets for calling Amazon Kinesis Firehose endpoints in curl, TypeScript, or Python.
curl -X POST "https://api.apis.guru/v2/specs/amazonaws.com/firehose/2015-08-04/#X-Amz-Target=Firehose_20150804.CreateDeliveryStream" \ -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-firehose": {
"command": "npx",
"args": ["-y","@mcp/amazonaws-com-firehose"],
"env": {
"AMAZON_KINESIS_FIREHOSE_API_KEY": "your_amazon_kinesis_firehose_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 Firehose 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: v2015-08-04
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.
CreateDeliveryStream call with the appropriate configuration. Similarly, an AI could be tasked with "listing all delivery streams that are currently encrypted," using the ListDeliveryStreams and DescribeDeliveryStreams endpoints to audit compliance. This turns the AI assistant into a collaborative partner for real-time data architecture, capable of implementing complex configurations, diagnosing stream health issues, and performing routine maintenance tasks on behalf of the developer.DescribeDeliveryStream and potentially interacting with the destination to sample data. To automate infrastructure setup, a command like "Clone the configuration of the production 'analytics-ingestion' stream and create a new, identical stream named 'staging-ingestion' for testing" can be executed by reading the source stream's config and calling CreateDeliveryStream. For operational troubleshooting, the AI can be directed to "Check the 'FailedDataWriteCount' metric for all delivery streams and report any with values greater than zero," requiring it to list streams, describe each, and parse the monitoring metrics. Furthermore, tasks like enabling server-side encryption with a new AWS Key Management Service (KMS) key for a specific stream, tagging streams for cost allocation, or temporarily stopping a stream for maintenance are all operations that can be precisely orchestrated through natural language instructions.firehose:DescribeDeliveryStream, firehose:PutRecord) on the specific stream resources (Resource: "arn:aws:firehose:region:account-id:deliverystream/stream-name"). Developers must ensure these credentials are securely managed and never embedded in client-side code or exposed in logs. Additional configuration guidelines include enabling server-side encryption with a customer-managed KMS key for all streams handling sensitive data, utilizing VPC endpoints to keep traffic on the AWS network, and configuring data transformation functions with appropriate IAM roles that follow least privilege principles. It is also advisable to set up robust monitoring and alerting on stream metrics like DeliveryToDestinationSuccess and IncomingBytes to ensure operational health.Similar APIs
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