AWSKendraFrontendService MCP Server
Amazon Kendra is an intelligent enterprise search service powered by machine learning that enables organizations to index their information across a vast array of data sources and provide highly accurate, natural language search capabilities to their end users.
Quick Start Summary
The AWSKendraFrontendService MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the AWSKendraFrontendService API through natural language. It exposes 10 API endpoints as callable tools, such as AssociateEntitiesToExperience, AssociatePersonasToEntities, BatchDeleteDocument, 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-kendra. This integration is sourced from the auto AWSKendraFrontendService OpenAPI specification (v2019-02-03) 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
- v2019-02-03
- Install Command
npx -y @mcp/amazonaws-com-kendra
Environment Variables
AWSKENDRAFRONTENDSERVICE_API_KEYExample: your_awskendrafrontendservice_api_key
Top Endpoints
/#X-Amz-Target=AWSKendraFrontendService.AssociateEntitiesToExperienceAssociateEntitiesToExperience
/#X-Amz-Target=AWSKendraFrontendService.AssociatePersonasToEntitiesAssociatePersonasToEntities
/#X-Amz-Target=AWSKendraFrontendService.BatchDeleteDocumentBatchDeleteDocument
/#X-Amz-Target=AWSKendraFrontendService.BatchDeleteFeaturedResultsSetBatchDeleteFeaturedResultsSet
/#X-Amz-Target=AWSKendraFrontendService.BatchGetDocumentStatusBatchGetDocumentStatus
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-kendra": {
"command": "npx",
"args": [
"-y",
"@mcp/amazonaws-com-kendra"
],
"env": {
"AWSKENDRAFRONTENDSERVICE_API_KEY": "your_awskendrafrontendservice_api_key"
}
}
}
}Cursor
Settings → MCP Servers → Add
{
"mcpServers": {
"amazonaws-com-kendra": {
"url": "https://mcpbridge.org/config/amazonaws-com-kendra.json"
}
}
}Saves as .cursor/mcp.json in the download. Move it to your project root.
VS Code
Use with MCP extension
{
"mcpServers": {
"amazonaws-com-kendra": {
"url": "https://mcpbridge.org/config/amazonaws-com-kendra.json"
}
}
}Endpoints Explorer
Search and browse the 10 operations supported by this server.
Multi-Language Code Examples
Executable code snippets for calling AWSKendraFrontendService endpoints in curl, TypeScript, or Python.
curl -X POST "https://api.apis.guru/v2/specs/amazonaws.com/kendra/2019-02-03/#X-Amz-Target=AWSKendraFrontendService.AssociateEntitiesToExperience" \ -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-kendra": {
"command": "npx",
"args": ["-y","@mcp/amazonaws-com-kendra"],
"env": {
"AWSKENDRAFRONTENDSERVICE_API_KEY": "your_awskendrafrontendservice_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 AWSKendraFrontendService 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: v2019-02-03
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.
kendra:BatchPutDocument but not kendra:DeleteIndex). Authentication should be handled via secure credential injection (like environment variables for access keys) into the MCP server process, never hardcoded. Furthermore, all network communication should occur over HTTPS, and sensitive configuration data like index IDs and data source IDs should be managed securely, ideally through secrets management systems. Proper error handling and logging within the MCP server are also essential to audit the actions performed by the AI agent on the search infrastructure.Similar APIs
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