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

An MCP server for network engineering that provides comprehensive tools for BGP analysis, RPKI validation, and DNSSEC-aware DNS queries. It integrates public data sources like RIPE and Cloudflare Radar with local diagnostic tools to give LLMs structured access to real-time and historical network states.

Enables structured knowledge and relationship modeling through a persistent network graph, with tools for linking structures, running six-dimensional comparisons, writing confidence scores, and learning from GitHub or computer-science fundamentals via natural-language MCP interactions.

Enables secure execution of Python code, SQL queries, and metric fetching through MCP with ephemeral Docker sandboxing.

A Model Context Protocol server that enables seamless integration between Claude AI and development tools like VSCode, Augment, Vercel, Airtable, and Square.

Enables AI assistants to fetch public data from 120+ sources via natural language and save it locally as Excel, GeoJSON, or KML files.

Enables natural-language queries about Azure resource compliance, including VM compliance, patch status, orphaned RBAC, and infrastructure health, through read-only MCP tools.

MCP server that lets agents edit real Microsoft Word (.docx) documents - tracked changes, tables, styles, comments, content controls, and document properties - with every edit validated and previewed before saving. Built on the Open XML SDK (no Word automation); reads and writes documents in place through filesystem or SharePoint storage.

Enables AI assistants to interact with Azure DevOps Server 2022 through natural language, enabling queries and operations on pipelines, pull requests, builds, and repositories.

Enables Azure SQL Database performance and administration through typed execution, query benchmarking, and managed DBA operations.

Enables intelligent interaction with Azure resources through natural language by translating requests into safe, auditable Azure CLI commands with plan/review workflows and direct access to 8 Azure services including Storage, Cosmos DB, Key Vault, and more.

Provides Azure DevOps tooling for AI agents, enabling interaction with projects, work items, repositories, and pipelines through natural language.

Facilitates spec-driven development workflows by providing structured prompts for generating requirements in EARS format, design documents, and implementation code following a systematic approach.

Enables AI agents to interact with Azure DevOps resources such as projects, builds, repositories, work items, test plans, and wikis through natural language using the Model Context Protocol.

Enables LLM clients to interact with Azure cost analysis, budget tracking, forecasting, and resource optimization across multiple subscriptions.

MCP server that enables AI assistants to manage Ghost CMS posts, members, tags, tiers, and more, with support for remote hosting on Azure Functions and Entra ID authentication.

Deploys a Model Context Protocol (MCP) server on Azure with industry-specific templates, sample data, and pre-configured tools for AI agents to query and manage resources.

A remotely-hosted MCP server that generates Azure architecture diagrams from agent-generated topology descriptions, with safe execution and consistent styling.

An MCP server that exposes Azure Data Factory operations as tools any LLM can call — trigger pipelines, monitor runs, inspect datasets, and get factory health summaries through natural language.

A remote MCP server that provides full filesystem and shell access to a cloud-hosted environment via HTTPS, enabling Claude Desktop to read, write, edit, search files, and execute commands on a remote Azure machine.

A reference server implementation for the Model Context Protocol that enables AI assistants to interact with Azure DevOps resources and perform operations such as project management, work item tracking, repository operations, and code search programmatically.