# foundry-mcp

> Use this tool when you need to streamline AI-powered software development by converting coding assistants into reliable engineers. It solves problems of inconsistent code quality and inefficient review processes by providing structured specs, progress tracking, and automated review. The tool takes in AI-generated code and outputs reviewed and refined software solutions, ideal for use in projects requiring high code quality and reliability.

Canonical page: https://skillsregistry.net/skills/tylerburleigh-foundry-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tylerburleigh-foundry-mcp

## Description

Turn AI coding assistants into reliable software engineers with structured specs, progress tracking, and automated review.

## Trust

- **Trust score (0–1):** 0.18
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a2i5685f32)
- **Repository:** <https://github.com/foundry-works/foundry-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": "tylerburleigh-foundry-mcp"
    }
  }
}
```

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