# mcp-calculator-toolkit

> mcp-calculator-toolkit — jogesh6895-mcp-calculator-toolkit. Use this tool when you need to perform calculations through multiple interfaces, such as command-line, web, or API integrations, and require a versatile Model Context Protocol server to support various transport modes, including STDIO, HTTP, and FastAPI. It solves problems related to calculator functionality in different application scenarios, from local CLI tools to web applications. The toolkit accepts calculation inputs and returns results through its supported transport modes.

Canonical page: https://skillsregistry.net/skills/jogesh6895-mcp-calculator-toolkit  
JSON: https://api.skillsregistry.net/v1/skills/jogesh6895-mcp-calculator-toolkit

## Description

A versatile Model Context Protocol (MCP) server that provides calculator functionality through multiple transport modes. This toolkit supports STDIO, HTTP, and FastAPI transports, making it suitable for various integration scenarios from local CLI tools to web applications.

## 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/Jogesh6895/mcp-calculator-toolkit)

## 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": "jogesh6895-mcp-calculator-toolkit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jogesh6895-mcp-calculator-toolkit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jogesh6895-mcp-calculator-toolkit/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
