# Opinly

> Opinly — ai-opinly-opinly. Use this tool when you need to optimize your online content and blog management workflow. Opinly provides core functionality for SEO analysis, competitor research, and AI-search data, solving problems related to content creation and publication. It accepts inputs such as blog post drafts and outputs scheduled and published posts, making it ideal for use in content marketing and blogging contexts.

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

## Description

SEO, competitor and AI-search data, plus blog management — draft, schedule and publish posts.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

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

## Use it

MCP endpoint published by the skill: `https://mcp.opinly.ai/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-opinly-opinly"
    }
  }
}
```

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