# Synlake — Cloud Infrastructure for AI Agents

> Use this tool when you need to optimize cloud infrastructure for AI agents, comparing and estimating costs across AWS, GCP, and Azure to streamline deployment. It solves problems of inefficient resource allocation and high costs by providing a unified interface for infrastructure management. With input of AI agent requirements and output of tailored infrastructure recommendations, Synlake simplifies cloud infrastructure deployment.

Canonical page: https://skillsregistry.net/skills/io-github-synlake-ai-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/io-github-synlake-ai-mcp-server

## Description

Compare, estimate, and deploy cloud infrastructure across AWS, GCP, and Azure for AI agents.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Synlake-ai%2Fmcp-server)
- **Repository:** <https://github.com/Synlake-ai/Synlake>

## 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": "io-github-synlake-ai-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-synlake-ai-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-synlake-ai-mcp-server/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