microsoft

    microsoft/mcp

    Catalog of official Microsoft MCP (Model Context Protocol) server implementations for AI-powered data access and tool integration

    backend
    C#
    MIT
    3.8K stars
    665 forks
    3.8K GitHub watchers
    Updated Oct 28, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    5 releases in the last 90 days, the latest 2 days ago, with 181 contributors on GitHub.

    Gained 33% fewer stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Implements the Model Context Protocol to provide standardized AI-powered access to Microsoft Azure resources and services.
    • Enables seamless integration of AI workflows with Azure through a consistent, declarative protocol for managing cloud resources.
    • Use for automating Azure resource provisioning and management within AI-driven development environments.
    • Use for enhancing AI assistants with contextual access to Azure DevOps artifacts like work items and pull requests.
    • Use for building AI applications that require real-time interaction with Azure Kubernetes Service clusters via natural language.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    No watch-outs from GStars' checks.

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    From the README

    This repository catalogs various Microsoft implementations of the Model Context Protocol (MCP), an open standard that facilitates seamless integration between AI applications and external data sources and tools. MCP enables AI models to access the context they need to perform tasks effectively.

    Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to large language models (LLMs). It allows AI applications to connect with various data sources and tools in a consistent manner, enhancing their capabilities and flexibility. MCP follows a client-server architecture where:

    For more details, visit the official MCP website.

    Excerpt from the microsoft/mcp README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    665+91

    Open issues

    325+26

    Compared with peers in Backend

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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