# Azure Pricing MCP Server

> Azure Pricing MCP Server — alexwoods711-azuremcppricing. Use this tool when you need to estimate and optimize Azure costs, compare pricing models, and analyze resource utilization. It provides AI assistants with access to Azure retail pricing, reserved instance analysis, and cost estimation tools. Ideal for use cases involving cloud cost management, budget planning, and resource optimization.

Canonical page: https://skillsregistry.net/skills/alexwoods711-azuremcppricing  
JSON: https://api.skillsregistry.net/v1/skills/alexwoods711-azuremcppricing

## Description

Enables AI assistants to query Azure retail pricing, compare costs, estimate bills, and analyze reserved instances, with additional tools for spot VMs, orphaned resources, PTU sizing, Databricks DBU, and GitHub pricing.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aillc5mfg1)
- **Repository:** <https://github.com/alexwoods711/AzureMCPPricing>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alexwoods711-azuremcppricing"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alexwoods711-azuremcppricing` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alexwoods711-azuremcppricing/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt