MCP Servers is a WordPress plugin designed to assist site administrators in configuring and exposing MCP servers with selected abilities on their WordPress sites. The tool facilitates integration between WordPress and AI agents by enabling secure authentication and permission management for server access.
The plugin supports the configuration of user roles and authentication methods for AI agents interacting with the MCP server. It provides guidance on creating dedicated user accounts, such as a user named "mcp" with an appropriate role, and on generating application passwords for Basic Auth. For AI agents requiring OAuth2 authentication, the documentation suggests installing an additional plugin, such as WP Oauth Server, to enable OAuth2 support within WordPress. The plugin also addresses compatibility considerations for specific AI agents, including Mistral and Claude Desktop, and offers instructions for connecting via local proxies and token-based authentication when necessary.
Installation of MCP Servers is handled through the standard WordPress plugin upload process, and the plugin is set to update automatically after the initial installation. Logging and debugging features are available: if WordPress debugging is enabled, internal events are recorded in the error log, and when logging is activated, MCP server activities are accessible via a dedicated logs page within the plugin.
MCP Servers is available for download from GitHub.
MCP Servers sits in PulseGate's AI category. It focuses on enabling WordPress site owners to expose and manage MCP servers for AI agent integration without complex setup. MCP Servers is a B2B product aimed at wordPress site owners. It is available for free. It runs on the web.
Behind MCP Servers is Satollo, and it first shipped in 2026. Development happens publicly on GitHub with 26 commits in the last 90 days. Among its 5 catalogued features are MCP server integration, wordPress authentication, and role-based access. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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