# Iterable MCP Server

> Use this tool when you need to interact with Iterable marketing platform data using natural language, enabling effortless querying of campaigns and templates, and performing actions via AI assistants, with inputs such as voice or text commands and outputs including relevant data and action confirmations, ideal for streamlining marketing workflows and automation. It solves problems related to data accessibility and actionability, allowing users to quickly retrieve information and perform tasks without navigating complex interfaces. This tool is particularly useful in contexts where ease of use and efficiency are crucial, such as in fast-paced marketing environments.

Canonical page: https://skillsregistry.net/skills/iterable-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/iterable-mcp-server

## Description

Enables natural language interaction with Iterable marketing platform data, allowing users to query campaigns, templates, and perform actions via AI assistants.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x1wsl21xz5)
- **Repository:** <https://github.com/Iterable/mcp-server>

## 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": "iterable-mcp-server"
    }
  }
}
```

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