# Iterant

> Iterant — ai-iterant-iterant. Use this tool when you need to analyze a brand's online presence and performance, as it reads pages, opportunities, and AI visibility to provide valuable insights. It solves problems related to brand monitoring, opportunity identification, and performance optimization. With input of a brand's online data, Iterant outputs actionable information to inform business decisions.

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

## Description

Read a brand's pages, opportunities, performance and AI visibility; put Iterant to work.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-25

## Source

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

## Use it

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

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