# StackGuide MCP

> Use this tool when you need to streamline AI coding workflows and ensure project consistency. It solves problems related to code quality, review, and delivery by providing dynamic context and active engineering workflows. The tool takes in project requirements and coding inputs, outputting optimized code and workflow orchestration, ideal for use in collaborative development environments.

Canonical page: https://skillsregistry.net/skills/taimiralain-stackguide-mcp  
JSON: https://api.skillsregistry.net/v1/skills/taimiralain-stackguide-mcp

## Description

Dynamic context and active engineering workflow for AI coding assistants, enabling project-aware rules, code review, TDD, and delivery orchestration.

## Trust

- **Trust score (0–1):** 0.34
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ocv9609xyu)
- **Repository:** <https://github.com/taimiralain/StackGuide-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": "taimiralain-stackguide-mcp"
    }
  }
}
```

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