"Paradox Interactive" matching MCP servers:

An agentic system for sim-ready interactive scene generation in Isaac Sim

An interactive MCP server for FAIRChem and ASE simulations that allows LLM agents to load a model once and steer relaxations, MD, NEB, phonons, and minima searches mid-flight, with live monitoring and code introspection.

Turns any idea, blog post, or article into hand-drawn Tinku illustrations that explain key concepts, with an interactive viewer in the chat.

Autonomously generates university-level educational presentations as interactive Reveal.js decks with time-synced presenter scripts from source materials, respecting target audience pedagogical level.

Enables interactive CLI chat with AI using Anthropic API, supporting document retrieval and command-based prompts via MCP tools.

Wraps the Gemini CLI as an MCP server, enabling AI tools to perform Gemini queries, interactive sessions, and extension management via a unified tool.

Enables interactive chat with AI models via the Anthropic API, supporting document retrieval, command-based prompts, and extensible MCP tool integrations.

A command-line interface application enabling interactive chat with AI models via the Anthropic API. It supports document retrieval, command-based prompts, and extensible tool integrations through the MCP architecture.

This MCP server enables interactive chat with AI models via the Anthropic API, supporting document retrieval and command-based prompts.

MCP Chat is a CLI application that enables interactive chat with AI models via the Anthropic API, supporting document retrieval, command-based prompts, and extensible MCP tool integrations.

Enables source-grounded structured extraction from literal text with Google LangExtract, returning grounded source spans and optional interactive HTML visualization of annotated payloads. It also provides a safe status and limits report and can use MCP host sampling or operator-configured inference providers.

Enables AI models to generate interactive visuals including charts, diagrams, UI mockups, and SVG graphics from plain text prompts. This Windows-based MCP server serves as an intermediary to bridge AI tools with visual output capabilities.

MCP server that connects any AI agent to MATLAB — execute code, async jobs, interactive Plotly plots, custom tools, and monitoring dashboard

Enables AI assistants to automate a local background Chromium browser for interactive web tasks, including prompt generation on Google Flow (Veo & Imagen), DOM inspection, clicks, screenshots, and JavaScript evaluation.

Enables reverse engineering of database tables into Spring Boot projects with AI-enhanced naming and code generation, providing interactive visualizations and workflow orchestration.

Enables interactive chat with AI models, including document retrieval and command-based prompts via the Model Control Protocol.

Command-line interface for interactive chat with AI models via Anthropic API, supporting document retrieval and command-based prompts through MCP.

Enables interactive chat with AI models through the Anthropic API, supporting document retrieval and command-based prompts.

Enables command-line interactive chat with Anthropic AI models, supporting document retrieval via @ references and slash commands for custom tool execution through the MCP architecture.

Enables interactive command-line chat with AI models via the Anthropic API, supporting document retrieval with @mentions and slash-command prompts with tab auto-completion.

Enables interactive chat with AI models via Anthropic API, supporting document retrieval and extensible command-based tool integrations.

Enables interactive chat with AI models and document retrieval via the Anthropic API, supporting command-based prompts and MCP tool integrations.

Enables MCP clients such as Codex and Claude to plan natural-language or timed actions, generate and revise skeletal motion locally through a Kimodo runtime, and review results with diagnostics, candidate comparison, and interactive 3D previews. Provides checked handoffs of verified exports into Blender and Unreal Engine.

Enables interactive AI chat through the Anthropic API, with document retrieval, slash commands, and extensible MCP tool integrations.

Renders Azure Content Understanding field schema as interactive table cards in VS Code Chat, enabling editing and persistence of field descriptions.

Enables interactive chat with AI models via Anthropic API, supporting document retrieval and command-based prompts through the MCP architecture.

Enables AI agents to undergo interactive METTLE verification sessions by starting sessions, answering procedurally generated challenges, and retrieving signed credentials or tier evidence.

Enables AI agents to generate and serve ephemeral, interactive user interfaces over MCP through natural language descriptions.

MCP server for AIRAS, an open-source research automation platform. It provides tools for paper search, retrieval, hypothesis generation, experiment execution, and paper writing, enabling automated or interactive research directly from MCP clients.

Enables creating and managing ElevenLabs conversational AI agents with an interactive UI, voice selection, and configuration of agent behavior.

Local-first MCP image generation server supporting OpenAI and Google Gemini models for generating and editing images, with an embedded interactive studio.

Generates timed exams on any topic with an interactive exam sheet in MCP hosts; supports true/false, multiple-choice, and open questions with instant or model grading and a final report out of 100.

Enables AI coding agents to perform end-to-end medical image analysis locally, from inspecting CT/MRI/X-ray studies and running containerized segmentation models like MedSAM2, TotalSegmentator, and HD-BET to refining masks, measuring volumes, and writing reports. It pairs preset or custom guideline protocols with a code-customizable viewer that renders images back to agents as annotated PNGs and to humans as interactive HTML.

A command-line interface application for interactive chat with AI models via the Anthropic API. It supports document retrieval, command-based prompts, and extensible tool integrations through the Model Control Protocol architecture.

Bridges Claude Desktop to the HOOPS AI WebAPI, enabling 3D CAD analysis and interactive model operations through natural language.

Enables AI agents to respond to users with live, persistent, interactive web apps served at a single URL that evolve in place as the conversation continues. It exposes UI generation and evolution tools over MCP so agent responses can include clickable buttons and streaming interfaces alongside chat replies.

Adds voice conversation capabilities to AI agents via MCP, enabling local speech recognition and synthesis with tools like speak, listen, and ask_by_voice for interactive voice interactions.

A modern MCP server that provides interactive graphical user interface, terminal command execution, and AI-powered prompt enhancement for MCP-compatible clients.

Enables MCP-compatible clients to access model registry, prediction logging, drift detection, bias/fairness auditing, compliance and governance queries, explanation generation, LLM/RAG monitoring, content safety, alert management, multi-agent workflow tracking, and performance metrics through 197 tools across 18 domains. Supports stdio and hosted Streamable HTTP transports, plus MCP Apps interactive audit cards.

Enables creating layered 3D reliefs from selected parts of a photo, producing GLB files and a self-contained HTML viewer that tilts with the pointer, with interactive approval of the segmentation before writing files.