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Cloud InfrastructureAuto-generatedScore: 46

AmazonNimbleStudio MCP Server

<p>Welcome to the Amazon Nimble Studio API reference. This API reference provides methods, schema, resources, parameters, and more to help you get the most out of Nimble Studio.</p> <p>Nimble Studio is a virtual studio that empowers visual effects, animation, and interactive content teams to create

Quick Answer

  1. 1. The AmazonNimbleStudio MCP server lets Claude, Cursor, and VS Code interact with the AmazonNimbleStudio API through natural language.
  2. 2. Setup: Add the config to claude_desktop_config.json, set your environment variables, and restart.
  3. 3. 10 operations available including ListEulaAcceptances, AcceptEulas, ListLaunchProfiles, and more.
  4. 4. Quality score: 46/99 — fair source quality and documentation coverage.

Overview

Category: Cloud Infrastructure

Auth: None

Endpoints: 10

Transport: STDIO

Command: npx -y @mcp/amazonaws-com-nimble

Spec: v2020-08-01

Setup time: ~30 sec (no auth)

Environment Variables

AMAZONNIMBLESTUDIO_API_KEY

Example: your_amazonnimblestudio_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-nimble": {
      "command": "npx",
      "args": [
        "-y",
        "@mcp/amazonaws-com-nimble"
      ],
      "env": {
        "AMAZONNIMBLESTUDIO_API_KEY": "your_amazonnimblestudio_api_key"
      }
    }
  }
}
Deep link

Cursor

Settings → MCP Servers → Add

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

MCP Server Configuration

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

{
  "mcpServers": {
    "amazonaws-com-nimble": {
      "command": "npx",
      "args": ["-y","@mcp/amazonaws-com-nimble"],
      "env": {
      "AMAZONNIMBLESTUDIO_API_KEY": "your_amazonnimblestudio_api_key"
}
    }
  }
}

What You Can Build

With the AmazonNimbleStudio MCP server, your AI assistant can:

  • Access 10 API operations through natural language
  • Read, create, and modify cloud infrastructure 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

GET/2020-08-01/studios/{studioId}/eula-acceptances

ListEulaAcceptances

POST/2020-08-01/studios/{studioId}/eula-acceptances

AcceptEulas

GET/2020-08-01/studios/{studioId}/launch-profiles

ListLaunchProfiles

POST/2020-08-01/studios/{studioId}/launch-profiles

CreateLaunchProfile

GET/2020-08-01/studios/{studioId}/streaming-images

ListStreamingImages

POST/2020-08-01/studios/{studioId}/streaming-images

CreateStreamingImage

GET/2020-08-01/studios/{studioId}/streaming-sessions

ListStreamingSessions

POST/2020-08-01/studios/{studioId}/streaming-sessions

CreateStreamingSession

POST/2020-08-01/studios/{studioId}/streaming-sessions/{sessionId}/streams

CreateStreamingSessionStream

GET/2020-08-01/studios

ListStudios

Documentation →

Authentication

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

Spec Version

Version: 2020-08-01

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

Page last updated: June 13, 2026

Quality Score

46/99Fair
  • +Auto-generated (+12)
  • +Has documentation (+12)
  • +OpenAPI spec available (+8)
  • +10 endpoints (+14)

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