"A guide to creating 3D models in Blender" matching MCP servers:

Provides deterministic parental guidance for children with chronic kidney disease, including food safety checks, lab report interpretation, and nutrient-aware food substitutions based on authoritative guidelines and the Chinese Food Composition Table.

Enables natural-language querying of a mock legacy healthcare database and returns validated FHIR resources (Patient, Observation, Condition).

MyChart MCP Server

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 variant annotation and effect prediction using the Ensembl VEP API, with support for batch and single queries.

An open source biomedical research agent that provides LLMs with 28 tools for drug discovery, protein analysis, literature search, medical imaging, omics, and sandbox execution, all running locally via Ollama and MedGemma.

Enables AI agents to rank US healthcare organizations for clinical trial site feasibility, predicting patient accrual for a Graves' disease protocol using claims and registry data.

Search 200M+ patents and scientific literature in natural language using PatSnap's global R&D intelligence database.

An MCP server that provides mouse genetics data from Mouse Genome Informatics (MGI), enabling LLM agents to query markers, mutations, alleles, phenotypes, and disease models.

A Claude Code extension that embeds a senior athenahealth integration engineer in your development workflow, proactively catching data loss bugs and guiding safe DataView queries and API integrations.

A Model Context Protocol (MCP) server for searching the National Provider Identifier (NPI) registry. This server provides tools to search and retrieve information about healthcare providers and organizations in the United States.

Enables read-only interaction with DHIS2 health data by searching indicators and querying compact analytics results, designed for small local models.

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

A fastmcp-based tool for writing prompts against data in the NMDC database.

Enables language models to query a clinical relational database through a small set of validated, row-capped tools, with evaluation of answerability and data leakage.

Provides read/write access to any FHIR-compliant healthcare API with built-in validation, supporting resource management, search operations, and granular permissions through natural language.

Provides seamless access to the Protein Data Bank in Europe (PDBe) API and search capabilities, enabling AI clients to query protein structures, perform advanced searches, and retrieve structural biology data.

MCP server for ezyVet veterinary practice management. Enables reading and creating animals, contacts, appointments, consults, and invoices via natural language.

Predicts CRISPR gene dependencies and drug targets by integrating literature, regulatory/PPI networks, and genome-scale metabolic models.

Viznoir empowers AI agents to directly analyze and visualize complex 3D scientific and engineering data in cinematic resolution using a fully headless VTK engine. It enables LLMs to seamlessly execute advanced physical analysis, 3D rendering, and generate publication-ready animations purely through natural language commands.