hardik-id/azure-resource-graph-mcp-server
by Various
Model Context Protocol (MCP) server that provides access to Azure Resource Graph queries. It allows you to retrieve information about Azure resources across your subscriptions usin
MCP
hardik-id/azure-resource-graph-mcp-server
Added 1 June 2026
Overview
Model Context Protocol (MCP) server that exposes Azure Resource Graph queries as tools for AI agents. It allows retrieval of Azure resource information across subscriptions using standard Resource Graph queries. Built in TypeScript with a small community (18 stars).
Best for
Best for
Developers building LLM-powered assistants that need to query Azure resources across subscriptions
Use cases
- Query Azure resources across multiple subscriptions using natural language through an LLM
- Automate resource inventory and compliance checks via AI agents
- Integrate Azure resource discovery into MCP-compatible assistant workflows
Notes
Model Context Protocol (MCP) server that exposes Azure Resource Graph queries as tools for AI agents. It allows retrieval of Azure resource information across subscriptions using standard Resource Graph queries. Built in TypeScript with a small community (18 stars).
18 stars on GitHub. Last updated 2025-05-06. Licensed MIT.
Use cases
- Query Azure resources across multiple subscriptions using natural language through an LLM
- Automate resource inventory and compliance checks via AI agents
- Integrate Azure resource discovery into MCP-compatible assistant workflows
Pros
- Leverages the full query power of Azure Resource Graph without writing custom API code
- Enables AI agents to access live, cross-subscription Azure resource data
- TypeScript codebase with a clear MCP server structure for easy integration
Cons
- Young project with only 18 stars, limited community and documentation
- Requires an MCP-compatible client to use, not a standalone tool
- Depends on Azure authentication setup and appropriate permissions
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Leverages the full query power of Azure Resource Graph without writing custom API code
- Enables AI agents to access live, cross-subscription Azure resource data
- TypeScript codebase with a clear MCP server structure for easy integration
Cons
- Young project with only 18 stars, limited community and documentation
- Requires an MCP-compatible client to use, not a standalone tool
- Depends on Azure authentication setup and appropriate permissions
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