hamidxazad

Botailor ModelContext Integrator for AI is a powerful WordPress plugin that exposes selected posts and pages as AI-readable endpoints via the Model Context Protocol (MCP). This plugin provides a clean, secure way to make your WordPress content available to AI systems, external applications, and other services that need structured access to your content.
The plugin features granular permission control, allowing you to set specific permissions (Read, Write, Update, Delete) for each piece of content, ensuring your data remains secure while providing flexible access for authorized applications.
<h4>Features</h4>
<ul>
<li>Selective Content Exposure: Choose which posts and pages to expose via the API</li>
<li>Granular Permission Control: Set individual permissions (Read, Write, Update, Delete) for each content item</li>
<li>Full CRUD Operations: Create, Read, Update, and Delete posts and pages via API</li>
<li>REST API Endpoints: Clean, standardized endpoints under <code>/wp-json/mcia/v1/</code></li>
<li>Master Endpoint: List all available endpoints with <code>/wp-json/mcia/v1/endpoints</code></li>
<li>Manifest Endpoint: Auto-generated manifest at <code>/wp-json/mcia/v1/manifest</code> and <code>/.well-known/mcp-manifest.json</code></li>
<li>Admin Interface: Easy-to-use settings page with search, pagination, and bulk actions</li>
<li>Security: Built-in authentication, nonces, and capability checks</li>
<li>WooCommerce Filtering: Automatically excludes WooCommerce products and pages</li>
<li>Real-time Updates: Changes take effect immediately</li>
</ul>
<h4>API Endpoints</h4>
Read Operations: 
* <code>GET /wp-json/mcia/v1/manifest</code> – Get manifest (all exposed content) 
* <code>GET /wp-json/mcia/v1/endpoints</code> – List all available endpoints 
* <code>GET /wp-json/mcia/v1/{slug}</code> – Get individual content by slug
CRUD Operations (Require Authentication): 
* <code>POST /wp-json/mcia/v1/posts</code> – Create new post 
* <code>PUT /wp-json/mcia/v1/posts/{id}</code> – Update existing post 
* <code>DELETE /wp-json/mcia/v1/posts/{id}</code> – Delete post 
* <code>POST /wp-json/mcia/v1/pages</code> – Create new page 
* <code>PUT /wp-json/mcia/v1/pages/{id}</code> – Update existing page 
* <code>DELETE /wp-json/mcia/v1/pages/{id}</code> – Delete page
Well-known Endpoint: 
* <code>GET /.well-known/mcp-manifest.json</code> – Public manifest (no authentication required)
<h4>Response Format</h4>
Each content endpoint returns:
<pre><code>`json
</code></pre>
{ 
 “title”: “Page/Post title”, 
 “content”: “Page/Post content”, 
 “content_html”: “HTML formatted content”, 
 “description”: “Short description”, 
 “slug”: “content-slug”, 
 “type”: “post|page”, 
 “status”: “publish”, 
 “date”: “2024-01-01 00:00:00”, 
 “modified”: “2024-01-01 00:00:00”, 
 “author”: “Author Name”, 
 “featured_image”: “image-url”, 
 “meta”: {}, 
 “url”: “permalink” 
} 
 `
<h3>Testing the Plugin</h3>
<h3>Quick Test Setup</h3>
<ol>
<li>
Configure Authentication:
<ul>
<li>Go to Settings > Botailor ModelContext Integrator for AI</li>
<li>Set a username and password for API access</li>
<li>Save the credentials</li>
</ul>
</li>
<li>
Enable Content:
<ul>
<li>Select which posts/pages to expose</li>
<li>Set permissions (Read, Write, Update, Delete) for each item</li>
<li>Use bulk actions to enable multiple items at once</li>
</ul>
</li>
<li>
Test Read Operations: 
 `bash
Test manifest (no auth required)
curl “http://yoursite.com/.well-known/mcp-manifest.json”
Test authenticated manifest
curl -u “username:password” “http://yoursite.com/wp-json/mcia/v1/manifest”
Test individual content
curl -u “username:password” “http://yoursite.com/wp-json/mcia/v1/your-post-slug” 
 `
</li>
<li>
Test CRUD Operations: 
 `bash
Create a new post
curl -u “username:password” -X POST “http://yoursite.com/wp-json/mcia/v1/posts” \ 
 -H “Content-Type: application/json” \ 
 -d ‘{“title”: “Test Post”, “content”: “Test content”, “status”: “publish”}’
Update a post (replace {id} with actual post ID)
curl -u “username:password” -X PUT “http://yoursite.com/wp-json/mcia/v1/posts/{id}” \ 
 -H “Content-Type: application/json” \ 
 -d ‘{“title”: “Updated Title”, “content”: “Updated content”}’
Delete a post (replace {id} with actual post ID)
curl -u “username:password” -X DELETE “http://yoursite.com/wp-json/mcia/v1/posts/{id}” 
 `
</li>
<li>
Test Permission System:
<ul>
<li>Try to update/delete content that only has “Read” permission</li>
<li>Verify that operations are blocked with proper error messages</li>
<li>Test that content with appropriate permissions works correctly</li>
</ul>
</li>
</ol>
<h3>Expected Results</h3>
<ul>
<li>Manifest: Should list all exposed content with metadata</li>
<li>Individual Content: Should return full post/page data with permissions</li>
<li>CRUD Operations: Should respect permission settings and authentication</li>
<li>Error Handling: Should return clear error messages for unauthorized operations</li>
</ul>
<h3>Development</h3>
This plugin follows WordPress coding standards and best practices:
<ul>
<li>Proper sanitization and validation</li>
<li>Nonce verification for security</li>
<li>Capability checks for admin functions</li>
<li>Modular code structure with 4-letter prefix naming convention</li>
<li>Comprehensive error handling</li>
<li>Responsive admin interface</li>
<li>Granular permission system</li>
<li>Full CRUD operations with authentication</li>
</ul>
<h3>Support</h3>
Author: Hamid Azad 
GitHub: <a href="https://github.com/hamidhosenazad" rel="nofollow ugc">https://github.com/hamidhosenazad</a> 
Email: hamidxazad@gmail.com
For support, feature requests, or bug reports, please visit the plugin’s GitHub repository or contact the author directly.

Botailor ModelContext Integrator for AI

Expose selected posts & pages as AI-readable endpoints via the Model Context Protocol (MCP) with granular permission control and full CRUD operations.

glay

This plugin provides a powerful way to integrate Amazon Bedrock’s AI capabilities into WordPress sites, with extensive customization options and the ability to extend AI functionality through the Model Context Protocol.
<h4>Features</h4>
<ul>
<li>Model Context Protocol (MCP) support</li>
<li>MCP client functionality</li>
<li>MCP server management interface</li>
<li>WordPress MCP server implementation</li>
<li>Support for newer models like Claude 3.5, Claude 3.7, and DeepSeek R1</li>
<li>Customizable chat interface</li>
<li>Streaming responses for a more interactive experience</li>
<li>System prompt customization</li>
<li>Easy setup with AWS credentials</li>
<li>Shortcode for embedding the chat interface anywhere on your site</li>
<li>Admin test interface to try different models and settings</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>WordPress 5.0 or higher</li>
<li>PHP 7.2 or higher</li>
<li>AWS account with access to Amazon Bedrock</li>
<li>AWS credentials with permissions to use Amazon Bedrock</li>
</ul>
<h3>Privacy Policy</h3>
This plugin does not collect any personal data. However, the conversations between users and the AI are processed through Amazon Bedrock, and AWS’s privacy policy applies to that data. Please refer to AWS’s privacy policy for more information.

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