"CSS" matching MCP servers:

Turns CST Studio Suite into an AI-controllable electromagnetic design lab, enabling conversational THz metamaterial absorber design, unit-cell automation, Floquet port control, batch solve with checkpoint-resume, and surrogate-model predictions.

Enables LLM agents to convert bloated webpages into clean token-dense plain text, stripping HTML, CSS, scripts, and layout elements while reducing context-window costs and supporting x402 micro-pay-based autonomous requests.

Provides prompt injection detection, PII/secrets redaction, and an audit trail for AI agents via MCP tools.

Deterministic AI safety policy engine with Z3 formal verification. Write, verify, simulate, and enforce machine-verifiable safety constraints for AI agents. Completely outside the LLM.

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.

Turns a real USB HID device — a Raspberry Pi Pico 2 running open-source firmware — into MCP tools (move, click, drag, type, key combos, scroll) for any MCP client. Includes a --mock mode to try every tool with no hardware.

An orchestrator MCP server that takes a plain-language app description and guides agents through a full workflow from intake to deployment, including design, audit, and maintenance.

Enables autonomous project management with intelligent synchronization between GitHub, Notion, and Motion, including pattern recognition, self-optimization, and automated field population.

Enables AI agents to control CST Studio Suite for 3D electromagnetic simulation, antenna design, and schematic-based field-circuit co-simulation through 177 MCP tools.

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.

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

Provides FSS (Korean Financial Supervisory Service) pension data to AI models like Claude through Model Context Protocol, enabling real-time pension product information retrieval and personalized AI-based pension consultation services.

Enables AI clients to control local Ansys HFSS for modeling FSS, metasurfaces, and periodic structures, including periodic boundaries, Floquet ports, geometry transforms, arrays, simulation setups, and results export.

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.

Integrates Factifai testing capabilities with MCP-compatible AI tools, enabling asynchronous creation and retrieval of automated tests using AI models from OpenAI or AWS Bedrock.

Enables natural-language control of CST Studio Suite for electromagnetic simulation, covering modeling, materials, ports, solvers, result reading, and VBA scripting, with an embedded knowledge base and constraint hooks that self-evolve through use.

MCP server for Windows desktop automation, enabling agents to control mouse, keyboard, and UI elements via 22 tools, with OCR, screenshots, macro recording, and autonomous mission execution.

A Model Context Protocol server that allows management of Counter-Strike 2 game servers via RCON commands using natural language.

SoupNet gives your AI agents one shared memory of how you think — across Claude, Cursor, and ChatGPT. Each checks your past decisions as searchable “recipes” and acts on your real judgment. Share it, and your team’s agents inherit that judgment too.