AmazonApiGatewayManagementApi MCP Server
The Amazon API Gateway Management API is a specialized, low-level service provided by Amazon Web Services (AWS) that grants developers direct, programmatic control over the runtime execution and lifecycle of their deployed APIs on Amazon API Gateway.
Quick Start Summary
The AmazonApiGatewayManagementApi MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the AmazonApiGatewayManagementApi API through natural language. It exposes 3 API endpoints as callable tools, such as GetConnection, PostToConnection, DeleteConnection. 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-apigatewaymanagementapi. This integration is sourced from the auto AmazonApiGatewayManagementApi OpenAPI specification (v2018-11-29) and has a quality score of 40/99 (fair documentation coverage).
Server Details
- Category
- Cloud Infrastructure
- Authentication
- None
- Endpoints
- 3 operations
- Transport
- STDIO
- Spec Version
- v2018-11-29
- Install Command
npx -y @mcp/amazonaws-com-apigatewaymanagementapi
Environment Variables
AMAZONAPIGATEWAYMANAGEMENTAPI_API_KEYExample: your_amazonapigatewaymanagementapi_api_key
Top Endpoints
/@connections/{connectionId}GetConnection
/@connections/{connectionId}PostToConnection
/@connections/{connectionId}DeleteConnection
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-apigatewaymanagementapi": {
"command": "npx",
"args": [
"-y",
"@mcp/amazonaws-com-apigatewaymanagementapi"
],
"env": {
"AMAZONAPIGATEWAYMANAGEMENTAPI_API_KEY": "your_amazonapigatewaymanagementapi_api_key"
}
}
}
}Cursor
Settings → MCP Servers → Add
{
"mcpServers": {
"amazonaws-com-apigatewaymanagementapi": {
"url": "https://mcpbridge.org/config/amazonaws-com-apigatewaymanagementapi.json"
}
}
}Saves as .cursor/mcp.json in the download. Move it to your project root.
VS Code
Use with MCP extension
{
"mcpServers": {
"amazonaws-com-apigatewaymanagementapi": {
"url": "https://mcpbridge.org/config/amazonaws-com-apigatewaymanagementapi.json"
}
}
}Endpoints Explorer
Search and browse the 3 operations supported by this server.
Multi-Language Code Examples
Executable code snippets for calling AmazonApiGatewayManagementApi endpoints in curl, TypeScript, or Python.
curl -X GET "https://api.apis.guru/v2/specs/amazonaws.com/apigatewaymanagementapi/2018-11-29/@connections/{connectionId}" \
-H "Content-Type: application/json" \
# No auth requiredManual Configuration
Directly add this block to your JSON config file, or use the hosted config registry URL.
{
"mcpServers": {
"amazonaws-com-apigatewaymanagementapi": {
"command": "npx",
"args": ["-y","@mcp/amazonaws-com-apigatewaymanagementapi"],
"env": {
"AMAZONAPIGATEWAYMANAGEMENTAPI_API_KEY": "your_amazonapigatewaymanagementapi_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 AmazonApiGatewayManagementApi 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: v2018-11-29
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.
https://{api-id}.execute-api.{region}.amazonaws.com/{stage}, not a public AWS service endpoint. Therefore, the paramount security practice is to ensure this endpoint URL is treated as a sensitive secret and never committed to public source code repositories or exposed in client-side applications. All access must be meticulously controlled at the network level, ideally within a private Virtual Private Cloud (VPC). When configuring the MCP server, developers should apply the principle of least privilege by generating and using API keys with the absolute minimum required permissions, which in this case are limited to the execute-api:ManageConnections action. Furthermore, all communication with this endpoint must be conducted over TLS to encrypt data in transit, and comprehensive logging and monitoring should be enabled to audit every management action performed by the AI agent or any other client.Similar APIs
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