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

The GitKraken MCP Server turns your AI assistant into a context-aware development partner by connecting it to git history, branches, issues, pull requests, and multi-repo workflows through GitKraken. It works with all the providers you would expect from the GitKraken software suite such as GitHub, GitLab, Azure DevOps, Bitbucket, Jira, and more.

An MCP server for C++ development that currently provides a server_status diagnostic tool. It validates a workspace directory and is designed to expand into build, test, and debugging capabilities.

Enables issuing Argentine electronic invoices (facturas A, B, C, E and credit notes) through ARCA (ex AFIP) from MCP clients, with natural language requests, homologation validation, and confirmation-based emission.

Renders Azure Content Understanding field schema as interactive table cards in VS Code Chat, enabling editing and persistence of field descriptions.

A batteries-included Python template that ships a shared service registry as a CLI, MCP server, and HTTP API, enabling rapid development of MCP tools like the included Gmail skill.

Enables MCP-compatible AI clients to retrieve FinOps-aligned knowledge and runbooks on demand, covering cloud cost optimization across AWS, Azure, GCP, and OCI, AI inference economics, Kubernetes, data platforms, allocation, chargeback, anomaly management, and waste detection.

Lets AI agents draw professional cloud architecture diagrams with the official AWS, Azure and Google Cloud icons, from a plain description, a JSON graph or Terraform code.

Enables cross-platform real device debugging for React Native development, supporting Android, iOS, and HarmonyOS with real-time connection status, screenshots, logs, diagnostics, evidence, and Codex context.

Provides seamless access to TomTom's location services including search, routing, traffic and static maps data, enabling easy integration of precise geolocation data into AI workflows and development environments.

Enables AI assistants to automate mobile app testing and development for iOS and Android through natural language interactions. Supports intelligent element identification, session management, automated test generation, and comprehensive device interactions including clicks, swipes, screenshots, and app management.

Exposes structured documentation for 200+ Trimble Connect API endpoints and provides tools for AI-assisted development of Trimble Connect extensions and applications.

Enables local stdio-based interaction with SingleStore databases from MCP clients, letting users run SQL, inspect schemas, and manage SingleStore Pipelines for continuous data loading from S3, Kafka, Azure, GCS, or filesystem sources.