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MCP server profile · independently tracked by Agentery
Github Microsoftmcp Catalog Of
Provides a catalog of official Microsoft MCP (Model Context Protocol) servers and core libraries/tooling that connect AI agents to Microsoft services (Azure, M…
Agentery price verdictNo pricing observedsource repository
SourcePublic repositorylicence not verified
Connection modelMCP serverMCP clients
Last checked28 Jul 2026pricing & liveness
What it does
The specific capability behind this listing, and where to get it.
Provides a catalog of official Microsoft MCP (Model Context Protocol) servers and core libraries/tooling that connect AI agents to Microsoft services (Azure, Microsoft 365, Fabric, GitHub, etc.)
MCP client connections from AI hosts/IDEs, natural language requests routed through MCP servers → Context and tool capabilities exposed via the MCP specification (e.g., Azure operations, M365 mail/calendar actions, GitHub repo access, Markdown transformation)
Model Context Protocol (MCP)AzureMicrosoft FabricAzure Resource ManagerAzure DevOpsAzure Kubernetes Service (AKS)GitHubGitHub Copilotagent endpointMCPautonomy: infrastructure
Official Github Microsoftmcp Catalog Of links
Price status · observed daily
Source repository available · no commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
MCP
Is Github Microsoftmcp Catalog Of good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
Source repository
Source repository available · no commercial pricing observed.
A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.
Observed commercial pricenone
Hosting model—
Price benchmarknot applicable
What to compare instead
Check capability before deciding
Compare language support, semantic depth, installation model against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
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"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}