"CTS" 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.

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 agents to automatically inspect and fill web application forms on job application sites through a logged-in Chrome, supporting text, select, radio, date, cascading dropdowns, and dynamic row operations.

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.

A Model Context Protocol (MCP) server that enables Claude to use Monte Carlo Tree Search algorithms for deep, explorative analysis of topics, questions, or text inputs.

A Node.js MCP server that connects AI assistants to SolidWorks for CAD automation via COM interop, with a smart routing layer to handle parameter limits by using VBA macros when needed.

A foundation for creating custom Model Context Protocol servers that can integrate with AI systems, providing a simple BMI calculator tool as an example implementation.

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 agents to open production change dossiers, attach proof certificates, and request human approval through a secure, unforgeable gate—ensuring no irreversible change can proceed until it has been verified against a sandboxed shadow copy.

Local MCP server for decision trace capture and deterministic explanations, providing tools to start, track, and query decision traces, and resources to retrieve trace data.

Enables persistent, portable memory for AI agents across sessions, devices, and providers with token-efficient 5-level lazy loading and automatic session capture.

Implements a distributed AI worker pattern over MCP, enabling clients to register as workers, poll for tasks, process prompts with AI, and submit results back to the server continuously.

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.

Provides MCP tools for interacting with the Technocore agent protocol, including signed messaging, nonce management, DID verification, end-to-end encrypted communication, and untrusted data fencing.

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.

Quantitative research, backtesting, creator-marketplace subscriptions, editable strategy forks, continuous copy trading, and controlled brokerage execution through 125 MCP tools.

MCP server exposing specialized AI agents (CEO, CTO, Designer, Sales, Marketing, QA) that collaborate through an intelligent orchestrator for business strategy, technology, design, sales, marketing, and quality tasks.

A TypeScript implementation of the MCP Agent framework, providing tools for building context-aware agents with advanced workflow management, logging, and execution capabilities.