Amazon Elasticsearch Service MCP Server
The Amazon Elasticsearch Service Configuration API, provided by Amazon Web Services (AWS), is a comprehensive administrative control plane for provisioning, managing, and maintaining Amazon OpenSearch Service domains (formerly Amazon Elasticsearch Service).
Quick Start Summary
The Amazon Elasticsearch Service MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the Amazon Elasticsearch Service API through natural language. It exposes 10 API endpoints as callable tools, such as AcceptInboundCrossClusterSearchConnection, AddTags, AssociatePackage, 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-es. This integration is sourced from the auto Amazon Elasticsearch Service OpenAPI specification (v2015-01-01) 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
- v2015-01-01
- Install Command
npx -y @mcp/amazonaws-com-es
Environment Variables
AMAZON_ELASTICSEARCH_SERVICE_API_KEYExample: your_amazon_elasticsearch_service_api_key
Top Endpoints
/2015-01-01/es/ccs/inboundConnection/{ConnectionId}/acceptAcceptInboundCrossClusterSearchConnection
/2015-01-01/tagsAddTags
/2015-01-01/packages/associate/{PackageID}/{DomainName}AssociatePackage
/2015-01-01/es/domain/{DomainName}/authorizeVpcEndpointAccessAuthorizeVpcEndpointAccess
/2015-01-01/es/serviceSoftwareUpdate/cancelCancelElasticsearchServiceSoftwareUpdate
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-es": {
"command": "npx",
"args": [
"-y",
"@mcp/amazonaws-com-es"
],
"env": {
"AMAZON_ELASTICSEARCH_SERVICE_API_KEY": "your_amazon_elasticsearch_service_api_key"
}
}
}
}Cursor
Settings → MCP Servers → Add
{
"mcpServers": {
"amazonaws-com-es": {
"url": "https://mcpbridge.org/config/amazonaws-com-es.json"
}
}
}Saves as .cursor/mcp.json in the download. Move it to your project root.
VS Code
Use with MCP extension
{
"mcpServers": {
"amazonaws-com-es": {
"url": "https://mcpbridge.org/config/amazonaws-com-es.json"
}
}
}Endpoints Explorer
Search and browse the 10 operations supported by this server.
Multi-Language Code Examples
Executable code snippets for calling Amazon Elasticsearch Service endpoints in curl, TypeScript, or Python.
curl -X PUT "https://api.apis.guru/v2/specs/amazonaws.com/es/2015-01-01/2015-01-01/es/ccs/inboundConnection/{ConnectionId}/accept" \
-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-es": {
"command": "npx",
"args": ["-y","@mcp/amazonaws-com-es"],
"env": {
"AMAZON_ELASTICSEARCH_SERVICE_API_KEY": "your_amazon_elasticsearch_service_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 Elasticsearch Service 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: v2015-01-01
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.
GET /2015-01-01/es/vpcEndpoints endpoint to list all currently authorized VPC endpoints for a specific domain, then use the POST /2015-01-01/es/domain/{DomainName}/authorizeVpcEndpointAccess endpoint to grant access to a new endpoint from a partner account." Another workflow could be: "AI agent can retrieve pending service software updates using GET /2015-01-01/es/es/serviceSoftwareUpdate/status/{DomainName}, then initiate and monitor the update process, automatically handling any necessary maintenance windows." Furthermore, the agent could manage data packages by first creating a new package with POST /2015-01-01/packages, then associating it with a domain using POST /2015-01-01/packages/associate/{PackageID}/{DomainName}, effectively automating the deployment of custom plugins or analytics solutions across the fleet.es:CreateElasticsearchDomain and es:DescribeElasticsearchDomains). Storing and managing these credentials securely is paramount; the AI MCP server configuration must securely inject the AWS access key and secret key, preferably via environment variables or a secrets manager, and never hardcode them. Additional security best practices include enabling and enforcing IAM-based fine-grained access control on the domains themselves, utilizing VPC configurations to isolate domains, and encrypting data in transit and at rest. This layered security model ensures that even as the AI agent automates powerful operations, it does so within a tightly controlled and auditable security boundary.Similar APIs
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