| 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 |
_blocks parameter._course_completed_%) to dynamically match and return groups of meta keys.=, !=, >, <, LIKE, IN, BETWEEN, and more.initialize, ping, tools/list, and tools/call methods.ai-conduit folder to the /wp-content/plugins/ directory.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.
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.
Any MCP-compatible client works with AI Conduit, including Claude Desktop, Cursor, and other AI assistants that support the MCP Streamable HTTP transport.
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.
The MCP endpoint uses WordPress Application Passwords with HTTP Basic Authentication. Create an Application Password under Users > Profile in the WordPress admin.
post_per_page, users_billing_city) to prevent filters scoped to one block from leaking into others in multi-block tools.post_type value through the admin UI. Tools built through the UI now correctly key their results by block type instead of being silently renamed to post / post_1._course_completed_%) are skipped in the meta_query filter path; pattern keys remain valid for batch field fetching.