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AI Conduit

开发者 wisdmlabs
更新时间 2026年5月17日 22:05
PHP版本: 8.0 及以上
WordPress版本: 6.9
版权: GPL-2.0-or-later
版权网址: 版权信息

标签

tools api ai llm mcp

下载

1.0.0 1.0.1

详情介绍:

AI Conduit bridges your WordPress data to LLM-powered AI assistants via the Model Context Protocol (MCP) Streamable HTTP transport. Build structured, read-only data endpoints that expose specific WordPress content to MCP-compatible clients like Claude Desktop, Cursor, and other AI assistants. Key Features Who Is It For? How It Works
  1. Install and activate the plugin.
  2. Navigate to AI Conduit > Tools in the WordPress admin.
  3. Create a new tool using the visual drag-and-drop builder.
  4. Configure blocks, fields, filters, and access roles.
  5. Connect your MCP client (Claude Desktop, Cursor, etc.) to the endpoint URL shown on the Instructions page.
  6. AI assistants can now query your WordPress data through the tools you built.

安装:

  1. Upload the ai-conduit folder to the /wp-content/plugins/ directory.
  2. Activate the plugin through the "Plugins" menu in WordPress.
  3. Navigate to AI Conduit > Tools to start building MCP tools.
  4. Create an Application Password under Users > Profile for MCP client authentication.

屏幕截图:

  • Settings Page -- Configure caching, logging, and rate limiting.

升级注意事项:

1.0.1 Bug-fix release with minor schema improvements. Make sure to start a new chat in your MCP client (Claude, ChatGPT, Cursor, etc.) to apply them. Since clients tends to use cached version of schemas if used in existing chats. 1.0.0 Initial release.

常见问题:

What is MCP?

The Model Context Protocol (MCP) is an open standard that allows AI assistants to securely access external data sources. AI Conduit implements MCP's Streamable HTTP transport so that AI clients can query your WordPress content.

Is my data safe?

Yes. All tools are read-only -- AI assistants cannot modify your WordPress data. Each tool has role-based access control, and all requests are logged for auditing. Rate limiting prevents abuse.

Which AI clients are supported?

Any MCP-compatible client works with AI Conduit, including Claude Desktop, Cursor, and other AI assistants that support the MCP Streamable HTTP transport.

Can I extend AI Conduit with custom blocks?

Yes. Add-on developers can register custom block types by extending the Wlconduit_Block_Base class and hooking into the wlconduit_register_blocks action. Custom REST endpoints can be registered via the Wlconduit_REST_Registry class.

What authentication method does the MCP endpoint use?

The MCP endpoint uses WordPress Application Passwords with HTTP Basic Authentication. Create an Application Password under Users > Profile in the WordPress admin.

更新日志:

1.0.1 1.0.0