# GetKin Agent Infrastructure

> Use this tool when you need to streamline and optimize AI agent development, as it provides a comprehensive platform for managing LLM models, monitoring API availability, and routing chat completions. The GetKin Agent Infrastructure solves problems related to model selection, API reliability, and memory management, offering inputs such as model recommendations and usage tracking, and outputs including optimized chat completion routing and compressed memory storage. Ideal for use in applications requiring efficient and scalable AI agent infrastructure, such as virtual assistants and conversational interfaces.

Canonical page: https://skillsregistry.net/skills/chipbaskets-getkin  
JSON: https://api.skillsregistry.net/v1/skills/chipbaskets-getkin

## Description

Agent infrastructure platform offering six tools: LLM model recommendation across 17 models from 6 providers, real-time API availability monitoring, OpenAI-compatible chat completion routing, structured memory compression, and usage tracking.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/chipbaskets-getkin)
- **Repository:** <https://github.com/chipbaskets/getkin-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": "chipbaskets-getkin"
    }
  }
}
```

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