# Synlake

> Use this tool when you need to unify cloud infrastructure management across AWS, GCP, and Azure, and generate executable kits for AI agents. Synlake solves the problem of fragmented cloud services by providing a single API for querying and managing resources. It takes cloud infrastructure queries as input and outputs Terraform or CLI execution kits for seamless integration with AI agents.

Canonical page: https://skillsregistry.net/skills/ai-synlake-synlake  
JSON: https://api.skillsregistry.net/v1/skills/ai-synlake-synlake

## Description

Unified API to query AWS, GCP, Azure and generate Terraform/CLI execution kits for AI agents.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-05-27

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.synlake%2Fsynlake)

## Use it

MCP endpoint published by the skill: `https://api.synlake.ai/api/mcp`

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": "ai-synlake-synlake"
    }
  }
}
```

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