# sprout-mcp

> Use this tool when you need to optimize content generation while balancing cost and quality, as it routes tasks to the appropriate AI model tier and tracks provenance. It solves problems of inefficient resource allocation and inconsistent output quality by automating review workflows. Ideal for applications requiring scalable and cost-effective content creation with assured quality and transparency.

Canonical page: https://skillsregistry.net/skills/mepsopti-sprout-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mepsopti-sprout-mcp

## Description

A model-tiered content pipeline that routes tasks to the appropriate AI model tier (Haiku, Sonnet, Opus) to optimize cost and quality, with provenance tracking and automatic review workflow.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/woe8gb6rr6)
- **Repository:** <https://github.com/mepsopti/sprout-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": "mepsopti-sprout-mcp"
    }
  }
}
```

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