"Paradox Interactive" matching MCP servers:

Renders interactive 2D molecular structure diagrams from SMILES notation and computes molecular properties like molecular weight, LogP, and TPSA, directly in the chat.

Enables AI assistants to search, browse, and retrieve interactive cell images and subcellular location data, including cell types, SVG illustrations, and location details through natural-language tool calls.

Enables managing clinic appointments through MCP tools and an interactive widget, including viewing availability, booking visits, and confirming appointments.

Enables AI assistants to perform quality control analysis on high-throughput sequencing data using FastQC and MultiQC. It supports single-file and batch processing of FASTQ/FASTA files and generates comprehensive, interactive summary reports.

Enables AI clients to connect to Galaxy instances, inspect histories and reports, discover tools and workflows, submit analyses, and monitor their results via interactive cards.

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.

Enables students to generate interactive MCP App widgets inside ChatGPT and Claude: turnable 3D models and working mechanisms (gears, pulleys, rack and pinion) with editable tooth counts and STL export, physics and maths simulations such as pendulums and circuits, and 3D molecular viewers for PDB IDs, compound names and SMILES.

A clean-room SHARP-on-MCP compliant FHIR R4 MCP server that enables AI agents to interact with any FHIR R4 endpoint using SHARP context headers, without server-side OAuth. It provides clinical tools, lab results, imaging, and interactive MCP-UI dashboards.

Provides AI-powered medical image analysis tools for LLM agents, enabling tasks such as X-ray classification, interactive segmentation, and visual question answering. It supports multi-step diagnostic reasoning and clinical workflows through a suite of specialized medical AI models.

Enables proactive aging-in-place caregiving over Streamable HTTP MCP by screening speech for early cognitive drift, blocking dangerous medication combinations, de-escalating home-safety anomalies, and dispatching caregiver digests through interactive ui:// MCP App cards. It also exposes caregiving prompts and an Agent Skill manifest as a resource for any MCP client.

Provides a 3D full-body anatomy and biomechanics engine with 22 MCP tools for querying anatomical structures, connections, and clinical information, plus an interactive 3D viewer.