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⇱ Microsoft Azure Platform and Services | Glama


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Microsoft Azure Platform and Services

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  • Why this server?

    This server is specifically designed for interacting with Azure services, containing common Compute and Networking actions, and is extensible to add more.

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    An MCP server for interacting with Azure. Contains some common Compute and Networking actions, and extensible to add many more.
    Last updated
    1
    Apache 2.0
  • Why this server?

    This server enables connections to Azure AI Agents within any MCP client, allowing users to leverage Azure AI Foundry's models and knowledge tools like Azure AI Search and Bing Web Grounding.

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    Enables connections to Azure AI Agents within any MCP client, allowing users to leverage Azure AI Foundry's models and knowledge tools like Azure AI Search and Bing Web Grounding through a conversational interface.
    Last updated
    250
    MIT
  • Why this server?

    Allows AI assistants to query and analyze Azure Data Explorer databases through standardized interfaces.

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    AI assistants to query and analyze Azure Data Explorer databases through standardized interfaces.
    Last updated
    5
    55
    MIT
  • Why this server?

    A cloud-based custom MCP server using Azure Functions that enables saving and retrieving code snippets with secure communication through keys, HTTPS, OAuth, and network isolation options.

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    A cloud-based custom MCP server using Azure Functions that enables saving and retrieving code snippets with secure communication through keys, HTTPS, OAuth, and network isolation options.
    Last updated
    59
    MIT
  • Why this server?

    A secure Model Context Protocol server that allows AI models to safely interact with SQLite databases on Azure through the FastMCP framework.

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    quality
    F
    maintenance
    An MCP server that provides safe, read-only access to SQLite databases through MCP. This server is built with the FastMCP framework, which enables LLMs to explore and query SQLite databases with built-in safety features and query validation.
    Last updated
    105
  • Why this server?

    A Python-based MCP server that enables integration with Microsoft Security Copilot and Microsoft Sentinel, allowing users to run KQL queries, manage skillsets/plugins, and execute prompts in Security Copilot.

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    A Python-based MCP server that enables integration with Microsoft Security Copilot and Microsoft Sentinel, allowing users to run KQL queries, manage skillsets/plugins, and execute prompts in Security Copilot.
    Last updated
    23
    MIT
  • Why this server?

    Comprehensive tool integrates deeply with GitHub Projects V2, offering features like automated kanban workflows, sprint planning, and custom field management, useful for Azure DevOps pipelines hosted on Github.

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    license
    C
    quality
    C
    maintenance
    Provides comprehensive tools for managing GitHub projects, milestones, tasks, and sprints. This server integrates deeply with GitHub Projects V2, offering features like automated kanban workflows, sprint planning, and custom field management.
    Last updated
    84
    28
    90
    MIT
  • Why this server?

    Enables AI models to interact with AWS Lambda functions via the MCP protocol, allowing access to private resources, real-time data, and custom computation in a secure environment; analogous compute service to Azure Functions.

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    Enables AI models to interact with AWS Lambda functions via the MCP protocol, allowing access to private resources, real-time data, and custom computation in a secure environment.
    Last updated
    2
    110
    MIT
  • Why this server?

    A Model Context Protocol server that enables natural language querying of the Censys Search API for domain, IP, and FQDN reconnaissance, providing information about hosts, DNS, certificates, and services in real-time, for Azure hosted resources.

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    A Model Context Protocol server for querying and analyzing Azure resources at scale using Azure Resource Graph, enabling AI assistants to explore and monitor Azure infrastructure.
    Last updated
    1
    18
    MIT