"WP Engine" matching MCP servers:

Prediction stability engine for AI agents. Evaluate model stability, detect ghosts, probe any LLM for instability, monitor fleet drift. 20 tools + 1 resource. Works with Claude, Cursor, VS Code.

MEOK Governance Engine - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables AI assistants to interact with Unreal Engine via Remote Control API for actor, asset, level, and editor operations.

attendance-engine-mcp is a Model Context Protocol server that gives AI agents deterministic, fixture-backed tools for workforce attendance and wage-and-hour compliance. Built on @attendance-engine/core — a pure-function, zero-deps, 100%-covered TypeScript engine — it lets Claude, Cursor, Windsurf, or any MCP host correctly answer the questions HR/payroll teams actually ask: did this person clock i

Complete DeFi intelligence — Yield, Staking, Restaking, RWA, Perps, Gas Optimization & Contract Security. One answer, not raw data.

Enables AI assistants to read and edit WordPress sites over the REST API, including Divi 4, Divi 5, and Gutenberg content, with safety features like round-trip verification, draft-based editing, and dry-run previews.

Enables searching documentation from GitHub repositories and web pages via MCP tools, with in-memory indexing and caching for fast retrieval.

A provably read-only SQL layer for AI agents (MCP) and weekly reports — over the database behind an ERP (Logo Tiger, Netsis, Mikro). Statement-checking guard, measured against 28 attacks.

A clean-room Meta Ads MCP server that lets you build, launch, and read Meta ad campaigns via Claude Code using a single system-user token.

Provides coding agents with persistent, evidence-backed project memory and knowledge across sessions, using a structured memory tree and local knowledge base.

A calculator-focused MCP server built with NitroStack, providing tools, resources, and prompts for arithmetic operations.

An MCP server that provides a multidimensional philosophical framework for prompt engineering by mapping intent across ten distinct branches of thought. It generates a principled construction basis, including active constructs and spectrum tensions, to guide the creation of structured and intentional prompts.

Enables AI assistants to control Unreal Engine via Remote Control API for game development automation, including asset management, actor control, level editing, animation, physics, visual effects, and cinematics creation through natural language.

Production-ready Model Context Protocol server for safely reading and changing WordPress + ACF Pro structure through ACF Local JSON and explicit WP-CLI synchronization.

An MCP server that gives AI agents broad control over Unreal Engine 5.7, enabling actor/asset/level management, Blueprint and material creation, screenshots, automation, and arbitrary editor Python execution.

A local-first, agent-agnostic MCP server that provides semantic search, persistent memory, and automated code review capabilities for development workflows. It leverages the Auggie SDK to offer advanced tools for codebase indexing, implementation planning, and deterministic static analysis.

An MCP server that provides 18 tools for dice rolling, luck tests, character management, world state, combat, and save/load, enabling an AI game master to run a solo-play gamebook entirely through deterministic game logic.

An MCP server that lets an AI agent drive Unreal Engine 5: create projects, import assets, build levels and Blueprints, configure replication, compile C++, run Play In Editor and package the game.

Enables AI agents to control Unreal Engine 5 through natural language commands, using the Model Context Protocol and Remote Control API to build levels, change assets, and trigger blueprints.

Entroly is a high-performance context engineering engine that optimizes AI coding agent context windows through information-theoretic compression and reinforcement learning. It gives your AI 100% codebase visibility while reducing token consumption by an average of 78%.It's learns fully autonomously.