AWS RoboMaker MCP Server
AWS RoboMaker is a cloud robotics service provided by Amazon Web Services that enables developers to build, simulate, test, and deploy intelligent robotic applications at scale.
Quick Start Summary
The AWS RoboMaker MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the AWS RoboMaker API through natural language. It exposes 10 API endpoints as callable tools, such as BatchDeleteWorlds, BatchDescribeSimulationJob, CancelDeploymentJob, 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-robomaker. This integration is sourced from the auto AWS RoboMaker OpenAPI specification (v2018-06-29) and has a quality score of 46/99 (fair documentation coverage).
Server Details
- Category
- Cloud Infrastructure
- Authentication
- None
- Endpoints
- 10 operations
- Transport
- STDIO
- Spec Version
- v2018-06-29
- Install Command
npx -y @mcp/amazonaws-com-robomaker
Environment Variables
AWS_ROBOMAKER_API_KEYExample: your_aws_robomaker_api_key
Top Endpoints
/batchDeleteWorldsBatchDeleteWorlds
/batchDescribeSimulationJobBatchDescribeSimulationJob
/cancelDeploymentJobCancelDeploymentJob
/cancelSimulationJobCancelSimulationJob
/cancelSimulationJobBatchCancelSimulationJobBatch
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-robomaker": {
"command": "npx",
"args": [
"-y",
"@mcp/amazonaws-com-robomaker"
],
"env": {
"AWS_ROBOMAKER_API_KEY": "your_aws_robomaker_api_key"
}
}
}
}Cursor
Settings → MCP Servers → Add
{
"mcpServers": {
"amazonaws-com-robomaker": {
"url": "https://mcpbridge.org/config/amazonaws-com-robomaker.json"
}
}
}Saves as .cursor/mcp.json in the download. Move it to your project root.
VS Code
Use with MCP extension
{
"mcpServers": {
"amazonaws-com-robomaker": {
"url": "https://mcpbridge.org/config/amazonaws-com-robomaker.json"
}
}
}Endpoints Explorer
Search and browse the 10 operations supported by this server.
Multi-Language Code Examples
Executable code snippets for calling AWS RoboMaker endpoints in curl, TypeScript, or Python.
curl -X POST "https://api.apis.guru/v2/specs/amazonaws.com/robomaker/2018-06-29/batchDeleteWorlds" \ -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-robomaker": {
"command": "npx",
"args": ["-y","@mcp/amazonaws-com-robomaker"],
"env": {
"AWS_ROBOMAKER_API_KEY": "your_aws_robomaker_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 AWS RoboMaker 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: v2018-06-29
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.
batchDescribeSimulationJob, and even cancel underperforming or unnecessary jobs via cancelSimulationJobBatch to optimize resource consumption and costs. Furthermore, the AI can automate fleet management tasks by creating new robot deployments with createDeploymentJob based on parameters defined in natural language, or by decommissioning test robots using the appropriate API calls. This integration turns the AI assistant into a powerful DevOps orchestrator for robotics, capable of executing complex, multi-step operational tasks.batchDescribeSimulationJob to gather data, perform the analysis, and then use cancelSimulationJobBatch to act on the findings. Another example: "Create a new test fleet named 'PerceptionTesting-US-East-1' with 5 robots, deploy the latest version of the vision processing application to them, and schedule a simulation job using the 'UrbanTraffic' world template to validate it." The AI would use createFleet, createRobot, and createDeploymentJob in a logical sequence, then initiate the simulation, providing a fully automated pipeline from code commit to validation.robosim:*), deployment management (robodeploy:*), and fleet control (robofleet:*) on specific, non-production resource tags, and should explicitly deny permissions for creating IAM users or accessing other unrelated AWS services. All communication between the MCP server and the AWS API must occur over encrypted TLS channels, and credentials should be managed via environment variables or secure secret management systems, never hardcoded into configuration files.Similar APIs
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