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AI & MLAuto-generatedScore: 40

Amazon Lex Runtime Service MCP Server

Amazon Lex provides both build and runtime endpoints. Each endpoint provides a set of operations (API). Your conversational bot uses the runtime API to understand user utterances (user input text or voice). For example, suppose a user says "I want pizza", your bot sends this input to Amazon Lex usin

Quick Answer

  1. 1. The Amazon Lex Runtime Service MCP server lets Claude, Cursor, and VS Code interact with the Amazon Lex Runtime Service API through natural language.
  2. 2. Setup: Add the config to claude_desktop_config.json, set your environment variables, and restart.
  3. 3. 5 operations available including PutSession, DeleteSession, GetSession, and more.
  4. 4. Quality score: 40/99 — fair source quality and documentation coverage.

Overview

Category: AI & ML

Auth: None

Endpoints: 5

Transport: STDIO

Command: npx -y @mcp/amazonaws-com-runtime-lex

Spec: v2016-11-28

Setup time: ~30 sec (no auth)

Environment Variables

AMAZON_LEX_RUNTIME_SERVICE_API_KEY

Example: your_amazon_lex_runtime_service_api_key

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-runtime-lex": {
      "command": "npx",
      "args": [
        "-y",
        "@mcp/amazonaws-com-runtime-lex"
      ],
      "env": {
        "AMAZON_LEX_RUNTIME_SERVICE_API_KEY": "your_amazon_lex_runtime_service_api_key"
      }
    }
  }
}
Deep link

Cursor

Settings → MCP Servers → Add

{
  "mcpServers": {
    "amazonaws-com-runtime-lex": {
      "url": "https://mcpbridge.org/config/amazonaws-com-runtime-lex.json"
    }
  }
}

Saves as .cursor/mcp.json in the download. Move it to your project root.

Deep link install →

VS Code

Use with MCP extension

{
  "mcpServers": {
    "amazonaws-com-runtime-lex": {
      "url": "https://mcpbridge.org/config/amazonaws-com-runtime-lex.json"
    }
  }
}

MCP Server Configuration

Add this to your claude_desktop_config.json or Cursor MCP settings.

{
  "mcpServers": {
    "amazonaws-com-runtime-lex": {
      "command": "npx",
      "args": ["-y","@mcp/amazonaws-com-runtime-lex"],
      "env": {
      "AMAZON_LEX_RUNTIME_SERVICE_API_KEY": "your_amazon_lex_runtime_service_api_key"
}
    }
  }
}

What You Can Build

With the Amazon Lex Runtime Service MCP server, your AI assistant can:

  • Access 5 API operations through natural language
  • Read, create, and modify ai & ml resources without writing HTTP requests
  • Chain multiple operations in a single conversation for complex workflows
  • Combine with other MCP servers for cross-tool automation

Endpoints

POST/bot/{botName}/alias/{botAlias}/user/{userId}/session

PutSession

DELETE/bot/{botName}/alias/{botAlias}/user/{userId}/session

DeleteSession

GET/bot/{botName}/alias/{botAlias}/user/{userId}/session/

GetSession

POST/bot/{botName}/alias/{botAlias}/user/{userId}/content#Content-Type

PostContent

POST/bot/{botName}/alias/{botAlias}/user/{userId}/text

PostText

Documentation →

Authentication

No authentication required. This MCP server can be used without API keys.

Spec Version

Version: 2016-11-28

Spec version published with the OpenAPI document. Config auto-updates when the spec changes.

Page last updated: June 13, 2026

Quality Score

40/99Fair
  • +Auto-generated (+12)
  • +Has documentation (+12)
  • +OpenAPI spec available (+8)
  • +5 endpoints (+8)

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