"C# Azure .NET development assistance" matching MCP servers:

Enables MCP clients to annotate and classify single human genetic variants in any notation, returning an auditable points-based ACMG verdict with its criteria, gnomAD frequencies, in-silico predictors, ClinVar data, and per-transcript consequences. It is read-only, requires no account or API key, and keeps answers compact while linking back to the source.

A Model Context Protocol (MCP) server for Canvas Medical API/SDK development assistance, providing streamlined access to Canvas Medical documentation and AI-powered development tools.

Enables querying the WormBase database for C. elegans and nematode genomics data, including gene information, protein sequences, phenotypes, interactions, and expression patterns through natural language.

Provides a six-tool research-assistance workflow for CRC-LNM cases using precomputed CT, pathology features, and clinical values. Enables multimodal analysis and research queries on deidentified cases.

Integrates with FitSlot API to manage support tickets, provide chatbot assistance with FAQs, and analyze bioimpedance PDF documents with health metrics and personalized recommendations.

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 comprehensive interaction with DHIS2 health information systems through 40+ tools covering complete Web API functionality. Supports data management, tracker programs, analytics, and bulk operations for DHIS2 development and administration.

Provides access to an AI medical chatbot API for healthcare assistance, enabling natural language interactions such as neurosurgery queries.

Enables deterministic calculation of the Cutaneous Axon Reflex Vasodilatory Index, flare radius, and unmyelinated nociceptive C-fiber axonal integrity for small-fiber neuropathy screening through MCP JSON-RPC tool integration.

Annotate variants by with a deep and rich set of data. Can annotate: genetic change, rsID, CAid, HGVS (g./c./p.), protein change.

Enables agents to look up sourced treatment records for a condition—approved medicines by country, documented off-label uses, herbs and supplements, treatments in development, and recruiting clinical trials—with citations and coverage metadata, without recommending treatment or diagnosing.

Screens providers by name, NPI, license number, or FEIN against Pennsylvania DHS's Medicheck list of roughly 6,750 individuals and businesses ever precluded from the state's Medical Assistance program, flagging current status and noting when DHS's own status field is blank. Also reports coverage statistics such as total rows, currently precluded vs. ended counts, identifier coverage, distinct status values, and date ranges.

A multi-purpose MCP server for AI-powered healthcare assistance that processes clinical data through configurable LLM providers. Maintains webhook endpoints for patient data processing with PostgreSQL logging and OpenAPI documentation.

Provides governed MCP tools for validating, explaining, and remediating clinical supply chain data quality across Bronze, Silver, and Gold layers on Azure Databricks, with data contracts and an evaluation harness.

Enables AI agents to segment 2D and 3D biomedical images using Microsoft's MedImageParse foundation models via free-text prompts, returning masks and statistics. Supports both local stdio MCP server and a hosted Azure API Management gateway for remote agents like Microsoft Foundry.

Enables deterministic zero-net-flux analysis of cutaneous microdialysis data to compute in vivo extraction fraction and true interstitial concentrations, with biomarker quantitation and probe delivery guidance.

Enables medical image analysis, structured medical report generation, and medical Q\&A through the Lingshu medical AI model. Provides healthcare professionals and developers with AI-powered medical assistance capabilities via a FastMCP server interface.

Enables deterministic calculation of zero-net-flux in vivo extraction fraction and interstitial concentration for cutaneous microdialysis using Bungay transport modeling, exposed through an MCP JSON-RPC stdio server.

Controls surgical bed and C-arm through natural language commands via MCP protocol, with a mock backend and 3D visualization for real-time feedback.