# Pinpole MCP Server

> Use this tool when you need to design and optimize cloud architectures, as it enables AI agents to create, simulate, and visualize cloud designs directly from code, solving problems of inefficiency and cost overhead. It takes Claude Code, Cursor, and OpenAI Codex as inputs and outputs visualized architectures on a Pinpole canvas. This tool is ideal for use cases where cloud infrastructure planning and cost-performance optimization are critical.

Canonical page: https://skillsregistry.net/skills/codeforstartups-pinpole-mcp  
JSON: https://api.skillsregistry.net/v1/skills/codeforstartups-pinpole-mcp

## Description

Enables AI agents to design cloud architectures, run cost/performance simulations, and draw them on a Pinpole canvas directly from Claude Code, Cursor, and OpenAI Codex.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ylt0gvynwf)
- **Repository:** <https://github.com/codeforstartups/pinpole-mcp>

## 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": "codeforstartups-pinpole-mcp"
    }
  }
}
```

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