"Image Generation" matching MCP servers:

Enables genomic sequence analysis through the Evo 2 model, supporting DNA sequence scoring, embedding, generation, and variant effect prediction with multiple model checkpoints (7B, 40B, 1B parameters).

Enables searching biomedical images (X-rays, CT/MRI, clinical photos, etc.) from the Open-i database using natural language queries, returning image results as Markdown links.

An MCP server that exposes a DICOMweb-compliant DICOM archive to AI assistants. It lets any MCP-capable client search studies, series and instances, inspect metadata, read Structured and Encapsulated PDF Reports, and render image frames — all through natural language.

Enables AI agents to control Fiji/ImageJ for microscopy image analysis through natural language commands, supporting operations like image opening, filtering, particle analysis, and automated workflows.

Built by a healthcare IT engineer with 19 years of PACS/RIS/integration experience. Bridges DICOM, HL7v2, and FHIR — maps between standards, decodes vendor private tags (GE, Siemens, Philips), generates Mirth Connect channels, and explains integration patterns. 12 tools covering tag lookup, message parsing, cross-standard mapping, and channel generation.

This MCP server generates individualized meal plans for children with chronic kidney disease (CKD) based on KDIGO 2024/PRNT 2020/KRCP 2025 guidelines, incorporating patient age, CKD stage, allergies, dietary culture, and diet diary analysis. It provides deterministic nutrient computations and tools for meal plan generation, food database lookup, and risk analysis.

Enables AI-assisted meta-analysis workflows following Cochrane methodological standards, including importing RevMan data, validation, meta-analysis, forest plots, publication bias assessment, and report generation.

Enables AI assistants to perform cell segmentation through natural language commands, including 2D/3D segmentation, batch processing, image restoration, and custom model training.

Enables the generation, mutation, and evolution of DNA and protein sequences using various evolutionary models and phylogenetic algorithms. It supports realistic next-generation sequencing read simulation and population-level evolutionary tracking for bioinformatics research and testing.

An MCP server for rehabilitation monitoring that provides tools for patient risk scoring, outcome analysis, report generation, alerts, and research search, along with prompts and CSV data resources.

Enables an AI to generate labeled CT images with answer keys for medical-school practice questions, including click-the-structure hotspot masks that align with the images.

Automatically analyzes and dispatches user tasks to appropriate handlers, supporting development task processing via Miyabi Agent and medical AI academic article generation. Provides intelligent task classification and routing for development, writing, and general tasks.

Enables MCP clients to operate MedEval regulatory workspaces, including evidence retrieval, generation, evaluation, and immutable document revisions, all through a local, secure gateway.

Exposes a local biomedical literature pipeline as MCP tools for automated research workflows. Enables literature search, open-access paper retrieval, and draft generation for biomedical and pathology domains through standard MCP clients.

Connects AI agents to the Elnora bioprotocol optimization platform, enabling generation, management, and optimization of wet-lab protocols through natural language.

Enables molecular generation, optimization, and analysis through NVIDIA MolMIM API. Supports generating drug-like molecules with desired properties, extracting molecular embeddings, and exploring chemical space around seed molecules.

Provides authenticated Streamable HTTP MCP access to a MedEval medical-device regulatory workspace, enabling project selection, evidence retrieval, section context, document revision management, and generation/evaluation task control.

Enables assessment of maximal inspiratory and expiratory pressures against normative predictions, calculation of a diaphragmatic resilience score, and generation of inspiratory muscle training prescriptions.

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.

MCP server for the Crowe Logic platform, enabling mycology expertise chat, cultivation photo analysis, grow log management, and SOP generation.

Enables FDA AI/ML SaMD compliance management, including regulatory pathway classification and PCCP template generation.

Enables natural language control of anaerobic digestion modeling using the internationally recognized ADM1 standard. Supports wastewater treatment simulation for process design and optimization with AI-powered feedstock analysis, multi-reactor configurations, and professional report generation.

Enables PubMed literature search, metadata retrieval, BibTeX export, and evidence table generation for biomedical research agents.

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 multimodal clients to browse server-side knee MRI studies, read reports, enumerate series, page through DICOM image previews, and inspect native-resolution details.

Enables estimation of sweat rate and sodium loss, modeling of subclinical dehydration cognitive deficits, and generation of personalized hourly fluid and electrolyte replenishment schedules.

Enables MCP-compatible clients to securely read personal blood glucose, blood ketones, device heart rate, weight, image-based body-fat percentage, and BMI data through catalog, device, query, record, and statistics tools.

Enables installing, configuring, and running modular MCP servers for biology, bioinformatics, and bioimaging tasks, including local image analysis, ImageJ/Fiji bridging, and LLM-based agent workflows.

MCP server for NVIDIA's NV-Segment-CTMR 3D medical image segmentation, enabling anatomical structure segmentation of CT/MR volumes via natural language tool calls.

Analyzes mammogram CC/MLO views and sorts each breast into a BI-RADS group with a priority level (high_priority, review, or no_suspicious_findings), so physicians can see which women look most worrying and reach a radiologist first. It masks personal data before analysis, never stores images, and runs on a CPU in 1-3 seconds per image.