"A server for developing WordPress themes" matching MCP servers:

A server that enables integration between Claude Desktop and WordPress, allowing for AI-assisted blogging through a Message Control Protocol implementation.

MCP server for WordPress content management that provides a secure interface for AI assistants to interact with WordPress sites, enabling content creation, editing, and media management without destructive operations.

A high-performance, enterprise-grade Model Context Protocol (MCP) server connecting WordPress sites directly to modern AI agents (Claude Code, Cursor, Google Antigravity, Windsurf, etc.). Designed with a Dual-Engine Architecture and Zero-Trust Security Guard, it allows AI agents to inspect site health, query posts and pages, explore ACF & custom post types, optimize SEO, and manage content safely

A Node.js server that wraps the WordPress REST API with the Model Context Protocol, enabling AI agents to manage posts through standard CRUD operations. It supports both STDIO and SSE transport modes for compatibility with various MCP clients like Claude Desktop.

Enables interaction with multiple WordPress sites through a proxy that connects to the MCP Expose Abilities plugin. Allows discovering and executing WordPress abilities across configured sites with secure authentication.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

MCP server providing 29 A-share analysis skills including real-time data, capital flow, limit-up tracking, technical/fundamental analysis, backtesting, risk control, and Xueqiu portfolio tracking, enabling AI agents to execute market research and strategy tasks.

Turn Claude into an ISO 27001 compliance assistant - controls, risk register, policies, evidence tracking, SoA generation, and full audit workflows in one local encrypted MCP server.

Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.

Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.

Self-host a realtime voice-call companion for coding agents. Exposes an MCP endpoint that agents can poll as an alternate input stream.

Provides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.

Dynamic QR code platform for AI agents. Create, customize, and track QR codes without regenerating images. 37 tools covering 11 QR types (URL, vCard, WiFi, event…).

Enables LLMs to interact with Kibana through composable toolboxes for building dashboards, managing data, and handling alerts, among other operations.

Provides MCP-compatible AI clients with full access to a Flarum forum's API, enabling reading, searching, creating discussions, replying, moderation, and management of users, tags, and groups.

Enables AI-driven 3D modeling and scene creation in Blender, allowing LLMs to create, modify, and manipulate objects, materials, and assets through natural language.

A lightweight, configurable server that fetches coding guidelines, security rules, and validation patterns from external sources to help development teams maintain code quality standards in WordPress projects.

Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.

Enables querying documents through a Langflow backend using natural language questions, providing an interface to interact with Langflow document Q\&A flows.