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AzurePricingMCP

mcp-msftnadavbh-azurepricingmcp · by msftnadavbh

An MCP server for Microsoft Azure pricing that goes beyond the Azure Pricing Calculator, with programmatic cost estimates plus FinOps features like Spot price and savings analysis, and detection of orphaned or underutilized resources.

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Install

$ agentstack add mcp-msftnadavbh-azurepricingmcp

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Azure Pricing MCP Server 💰

[](https://www.python.org/downloads/) [](https://modelcontextprotocol.io/) [](https://opensource.org/licenses/MIT) [](https://github.com/msftnadavbh/AzurePricingMCP/actions/workflows/test.yml)

A Model Context Protocol (MCP) server that provides AI assistants with real-time access to Azure retail pricing information. Query VM prices, compare costs across regions, estimate monthly bills, and discover available SKUs—all through natural language.


🚀 Quick Start

# Clone and setup
git clone https://github.com/msftnadavbh/AzurePricingMCP.git
cd AzurePricingMCP
python -m venv .venv
source .venv/bin/activate  # Windows: .venv\Scripts\activate
pip install -r requirements.txt

# Test the server
python -m azure_pricing_mcp

Then configure your AI assistant. See [Integrations](#-integrations).


✨ Features

  • Price Search - Query Azure prices with flexible filters
  • Price Comparison - Compare costs across regions or SKUs
  • Cost Estimation - Calculate monthly/yearly costs
  • Reserved Instances - Compare RI pricing with break-even analysis
  • Region Recommendations - Find the cheapest regions for any SKU
  • SKU Discovery - Fuzzy matching for service names
  • Retirement Warnings - Alerts for retiring VM SKUs
  • Spot VM Intelligence - Eviction rates and price history (requires Azure auth)
  • Orphaned Resources - Detect unused resources with real cost calculation (requires Azure auth)
  • PTU Sizing - Estimate Provisioned Throughput Units for Azure OpenAI deployments
  • Databricks DBU Pricing - Search DBU rates, estimate costs, compare workloads
  • GitHub Pricing - Full GitHub pricing catalog + cost estimation (Plans, Copilot, Actions, Security)

📖 [Full feature details →](docs/FEATURES.md)


🛠️ Tools

19 tools available for AI assistants:

  • azure_price_search - Search retail prices
  • azure_price_compare - Compare across regions/SKUs
  • azure_ri_pricing - Reserved Instance pricing
  • azure_cost_estimate - Usage-based cost estimation
  • azure_region_recommend - Find cheapest regions
  • azure_discover_skus / azure_sku_discovery - SKU lookup
  • get_customer_discount - Customer discount information
  • spot_eviction_rates / spot_price_history / simulate_eviction - Spot VM tools
  • find_orphaned_resources - Detect orphaned resources with cost analysis
  • azure_ptu_sizing - Estimate PTUs for Azure OpenAI deployments
  • azure_network_cost_estimate - Network cost planner (bandwidth tiers, NAT Gateway, Private Link)
  • databricks_dbu_pricing / databricks_cost_estimate / databricks_compare_workloads - Databricks DBU pricing
  • github_pricing / github_cost_estimate - GitHub pricing catalog and cost estimation

📖 [Tool documentation →](docs/TOOLS.md)


📋 Installation

Docker (Easiest):

docker build -t azure-pricing-mcp .
docker run -i azure-pricing-mcp

Python:

pip install -r requirements.txt

📖 [Full installation guide →](INSTALL.md)


🔌 Integrations

Works with any MCP-compatible AI assistant:

  • VS Code with GitHub Copilot
  • Claude Desktop

📖 [Integration setup →](docs/INTEGRATIONS.md)


📁 Project Structure

AzurePricingMCP/
├── src/azure_pricing_mcp/    # Main package
│   ├── server.py             # MCP server
│   ├── handlers.py           # Tool handlers
│   ├── client.py             # Azure API client
│   ├── config.py             # Pricing data & constants
│   ├── tools.py              # Core tool definitions
│   ├── formatters.py         # Response formatters
│   ├── models.py             # Data models
│   ├── services/             # Business logic
│   ├── databricks/           # Databricks DBU tools
│   └── github_pricing/       # GitHub pricing tools
├── tests/                    # Test suite (9 files, 236+ tests)
├── docs/                     # Documentation
└── scripts/                  # Setup & debug scripts

📖 [Detailed structure →](docs/PROJECT_STRUCTURE.md)


🔌 API Reference

This server uses the Azure Retail Prices API:

https://prices.azure.com/api/retail/prices

No authentication required - The Azure Retail Prices API is publicly accessible.


🤝 Contributing

We welcome contributions! See [CONTRIBUTING.md](CONTRIBUTING.md) for setup instructions, code style, and PR process.


📚 Documentation

| Document | Description | |----------|-------------| | [INSTALL.md](INSTALL.md) | Installation guide | | [docs/FEATURES.md](docs/FEATURES.md) | Feature details | | [docs/TOOLS.md](docs/TOOLS.md) | Tool documentation | | [docs/INTEGRATIONS.md](docs/INTEGRATIONS.md) | VS Code & Claude setup | | [docs/USAGEEXAMPLES.md](docs/USAGEEXAMPLES.md) | Detailed examples | | [docs/ORPHANEDRESOURCES.md](docs/ORPHANEDRESOURCES.md) | Orphaned resources guide | | [CHANGELOG.md](CHANGELOG.md) | Version history |


📄 License

MIT License - see [LICENSE](LICENSE) for details.


🙏 Acknowledgments


📬 Support


Made with ❤️ for the Azure community

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.