# MCP-Studio

> MCP-Studio — divyag14-mcp-studio. Use this tool when you need to perform mathematical operations or access weather information to enhance AI model capabilities. It provides a standardized interface for calculations and weather data retrieval, solving problems related to data processing and environmental awareness. Ideal for use cases requiring numerical computations or weather-based decision-making, it accepts input queries and returns relevant output data.

Canonical page: https://skillsregistry.net/skills/divyag14-mcp-studio  
JSON: https://api.skillsregistry.net/v1/skills/divyag14-mcp-studio

## Description

A collection of MCP servers that provide mathematical operations and weather information tools, enabling AI models to perform calculations and access weather data through a standardized interface.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/st9qin18sr)
- **Repository:** <https://github.com/DivyaG14/MCP-Studio>

## 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": "divyag14-mcp-studio"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/divyag14-mcp-studio` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/divyag14-mcp-studio/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