# Strata MCP Server

> Strata MCP Server — makedirectory-strata. Use this tool when you need to model, validate, and analyze complex multi-cloud infrastructure as a unified graph, solving problems of cost estimation, architecture review, and infrastructure management. It takes in infrastructure as code (IaC) configurations and outputs a typed graph representation, enabling large language models (LLMs) to optimize and review cloud architectures. Ideal for use cases involving multi-cloud cost optimization, security, and compliance.

Canonical page: https://skillsregistry.net/skills/makedirectory-strata  
JSON: https://api.skillsregistry.net/v1/skills/makedirectory-strata

## Description

Enables LLMs to model, validate, and analyze multi-cloud infrastructure as a typed graph, with tools for IaC import/export, cost estimation, and architecture review.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/l6t66o4jdk)
- **Repository:** <https://github.com/makedirectory/strata>

## 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": "makedirectory-strata"
    }
  }
}
```

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