# CalculatorMCP

> CalculatorMCP — daddycloudarchitect-calculatormcp. Use this tool when you need to leverage Azure Functions as MCP tools for calculations and computations, solving problems that require serverless computing and integration with Azure AI Foundry Agents. It takes in mathematical expressions or data as input and outputs calculated results, enabling agents to perform complex calculations and data processing. Ideal for use cases that require scalable, on-demand computing resources, such as data analysis, scientific simulations, or machine learning model training.

Canonical page: https://skillsregistry.net/skills/daddycloudarchitect-calculatormcp  
JSON: https://api.skillsregistry.net/v1/skills/daddycloudarchitect-calculatormcp

## Description

A Calculator MCP Server exposing Azure Functions as MCP tools for consumption by Azure AI Foundry Agents

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/daddycloudarchitect/CalculatorMCP)

## 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": "daddycloudarchitect-calculatormcp"
    }
  }
}
```

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