"TED" matching MCP servers:

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.

An MCP server that turns Teradata Vantage into a full-stack analytics agent platform, providing AI agents with structured knowledge of Teradata's native functions for correct and optimal SQL analytics.

Enables automated adversarial safety probing and jailbreak fuzzing of AI systems through MCP, returning structured execution telemetry and output dossiers.

Enables users to run synthetic support-agent evaluations, preserve and inspect traces, score results deterministically, inject failures, and enforce release review gates through MCP tools, resources, and prompts.

MCP proxy server for ThinkingEngine with automatic browser-based authentication. Automates the login → token extraction → proxy flow so you never need to manually copy tokens.

Enables agents to search and get recommendations from the Arabic AI ecosystem for models, datasets, tools, and benchmarks based on criteria such as dialect, license, and platform.

Enables screening of article titles and abstracts against a research question or clinical query using TypeSafe Jev, returning include/maybe/exclude decisions with calibrated probabilities from PubMed searches, PMIDs, or custom records.

MCP server that provides a 'borrowed eye' for text-only LLMs, enabling them to identify and describe local images via the Qwen VL vision model, including face recognition, scene description, OCR, and targeted visual questioning.