docs: add README Summary and package metadata for AI discoverability

.speakeasy/gen.yaml

@@ -30,13 +30,26 @@ generation:
     generateTests: false
     generateNewTests: true
     skipResponseBodyAssertions: false
-mcp-typescript:
-  version: 0.6.0
+  mcp-typescript:
+    version: 0.6.0
   additionalDependencies:
     dependencies: {}
     devDependencies: {}
     peerDependencies: {}
-  additionalPackageJSON: {}
+  additionalPackageJSON:
+    description: "Cloudinary Environment Config MCP Server - manage named transformations,
+      upload presets, streaming profiles, webhooks (triggers), and upload mappings
+      through AI assistants (Claude Desktop, Cursor, Gemini, Windsurf, VS Code)"
+    keywords:
+      - mcp
+      - mcp-server
+      - cloudinary
+      - model-context-protocol
+      - media-management
+      - ai-tools
+      - named-transformations
+      - upload-presets
+      - streaming-profiles
   advancedFlags:
     - apiHost
     - oauth2
@@ -77,7 +90,8 @@ mcp-typescript:
     author:
       name: Cloudinary
       url: https://cloudinary.com
-    description: Cloudinary Environment Configuration MCP Server
+    description: Cloudinary Environment Config MCP Server - manage named transformations,
+      upload presets, streaming profiles, webhooks, and upload mappings via AI
     display_name: Cloudinary Environment Config
     documentation: https://cloudinary.com/documentation/cloudinary_llm_mcp
     homepage: https://github.com/cloudinary/environment-config-mcp
@@ -91,8 +105,19 @@ mcp-typescript:
       - webhooks
       - triggers
       - upload-mappings
+      - mcp
+      - mcp-server
+      - model-context-protocol
+      - media-management
+      - ai-tools
     license: MIT
-    long_description: MCP server for managing Cloudinary environment configuration including transformations, upload presets, streaming profiles, triggers, and upload mappings.
+    long_description: The Cloudinary Environment Config MCP Server connects AI assistants
+      (including Claude Desktop, Cursor, Gemini, Windsurf, and VS Code) directly to
+      your Cloudinary account. Use natural language to manage named transformations,
+      create and update upload presets, configure adaptive streaming profiles for video
+      delivery, set up event-driven webhooks (triggers), and manage upload folder mappings.
+      Designed for developers who want to control Cloudinary environment configuration
+      without leaving their AI-powered coding environment.
     privacy_policies:
       - https://cloudinary.com/privacy
     repository:

README.md

@@ -4,6 +4,8 @@
 <!-- Start Summary [summary] -->
 ## Summary
 
+The Cloudinary Environment Config MCP Server connects AI assistants (including Claude Desktop, Cursor, Gemini, Windsurf, and VS Code) directly to your Cloudinary account. Use natural language to manage named transformations, create and update upload presets, configure adaptive streaming profiles for video delivery, set up event-driven webhooks (triggers), and manage upload folder mappings. Designed for developers who want to control Cloudinary environment configuration without leaving their AI-powered coding environment.
+
 
 <!-- End Summary [summary] -->
 

manifest.json

@@ -3,12 +3,17 @@
     "name": "Cloudinary",
     "url": "https://cloudinary.com"
   },
-  "description": "Cloudinary Environment Configuration MCP Server",
+  "description": "Cloudinary Environment Configuration MCP Server - manage named transformations, upload presets, streaming profiles, webhooks, and upload mappings via AI",
   "display_name": "Cloudinary Environment Config",
   "documentation": "https://cloudinary.com/documentation/cloudinary_llm_mcp",
   "homepage": "https://github.com/cloudinary/environment-config-mcp",
   "icon": "icon.png",
   "keywords": [
+    "mcp",
+    "mcp-server",
+    "model-context-protocol",
+    "media-management",
+    "ai-tools",
     "cloudinary",
     "environment-config",
     "transformations",
@@ -19,7 +24,7 @@
     "upload-mappings"
   ],
   "license": "MIT",
-  "long_description": "MCP server for managing Cloudinary environment configuration including transformations, upload presets, streaming profiles, triggers, and upload mappings.",
+  "long_description": "The Cloudinary Environment Config MCP Server connects AI assistants (including Claude Desktop, Cursor, Gemini, Windsurf, and VS Code) directly to your Cloudinary account. Use natural language to manage named transformations, create and update upload presets, configure adaptive streaming profiles for video delivery, set up event-driven webhooks (triggers), and manage upload folder mappings. Designed for developers who want to control Cloudinary environment configuration without leaving their AI-powered coding environment.",
   "manifest_version": "0.3",
   "name": "@cloudinary/environment-config-mcp",
   "privacy_policies": [

package.json

@@ -2,6 +2,8 @@
   "name": "@cloudinary/environment-config-mcp",
   "version": "0.6.0",
   "author": "Cloudinary",
+  "description": "Cloudinary Environment Config MCP Server - manage named transformations, upload presets, streaming profiles, webhooks (triggers), and upload mappings through AI assistants (Claude Desktop, Cursor, Gemini, Windsurf, VS Code)",
+  "keywords": ["mcp", "mcp-server", "cloudinary", "model-context-protocol", "media-management", "ai-tools", "named-transformations", "upload-presets", "streaming-profiles"],
   "type": "module",
   "sideEffects": false,
   "repository": {