"Craft CMS" matching MCP servers:

Open-source MCP server that turns any CMS backend into an AI-agent-ready content management system. It provides tools for content CRUD, idea management, and publication tracking, with safety features requiring human approval for publishing.

Enables coding-agent CLIs to control individual Minecraft players through local MCP tools so they can wait for chat requests, navigate, gather and chop resources, craft and place blocks, deliver items, and follow players. It provides structured tool results and coordination for survival-style teamwork in a Minecraft world.

Enables building agent-ready APIs that expose tools as both HTTP and MCP endpoints from a single server definition, with automatic OpenAPI, discovery docs, and interactive API reference.

Enables AI agents to index and search local skill libraries, persist and resume task checkpoints, and run validated workflow plans with controlled approval and write permissions.

An AI copilot for marketing budgets that uses a 6-agent society with learned memory to manage ad accounts, built as a Model Context Protocol server for Qwen Cloud.

MCP server that enables AI agents to autonomously buy virtual phone numbers and receive SMS verification codes. Supports multiple providers (5sim, SMS-Activate, OnlineSim) with automatic cheapest-provider selection.

Local MCP server that lets AI agents control a Minecraft Forge 1.20.1 NPC to chat, move, gather, craft, build, fight, and manage inventory in a single-player world.

A local stdio MCP service that unifies coding agents like Codex and Claude into cs_agent_* tools, enabling the root agent to create, invoke, and manage child agents with recursive delegation.

Enables AI assistants to interact with the PocketOption trading platform via MCP, including balance checks, candle data, asset screening, and trade placement, with support for multi-agent coordination.

Local-first MCP server for per-agent key management, generating and using signing keys without external KMS.

Enables AI assistants to directly control, automate, orchestrate, and self-heal Hybris/CCv2 environments and headless Spartacus storefronts through 27 JSON-RPC tools. Covers greenfield site provisioning, CMS scaffolding, B2B organization governance, Drools promotion rules, Solr reindexing, catalog sync, FlexibleSearch/ImpEx/Groovy execution, Spartacus diagnostics with auto-fix, and a self-evolving script and knowledge library.

Implements the Chain of Draft reasoning approach to generate minimalistic intermediate reasoning outputs while solving tasks, significantly reducing token usage while maintaining accuracy.

MCP server that integrates Blender with CSM.ai 3D assets and LLM agents, enabling AI-assisted 3D modeling and animation through natural language commands.

Enables AI agents to read and control Command: Modern Operations scenarios locally via MCP tools, supporting real-time battle assessment, task planning, and scenario editing.

Enables autonomous triage of GitHub issues and pull requests through MCP, with classification, deduplication, prioritization, and safe human-in-the-loop actions.

Enables protocol-level runtime verification of AI agent tool calls across six dimensions with a fail-closed guarantee, blocking any action that fails verification before execution.

Unifies 7,283+ detection rules from Sigma, Splunk ESCU, Elastic, and KQL into a single queryable interface via MCP, with a web dashboard and autonomous agent pipeline for detection engineering.

Deterministic, auditable payment policy enforcement for AI agents. It provides pre-action authorization with scopes, budgets, allowlists, and signed mandates via an MCP server.

Transforms prompts into Chain of Draft (CoD) or Chain of Thought (CoT) format to enhance LLM reasoning quality while reducing token usage by up to 92.4%, supporting multiple LLM providers including Claude, GPT, Ollama, and local models.

Exposes all PHANTOM security testing capabilities as MCP tools, enabling reconnaissance, vulnerability scanning, red teaming, and report generation through natural language interactions.