# nitrosend

> Use this tool when you need to streamline email marketing tasks, such as crafting campaigns, managing contacts, and tracking performance, all through intuitive prompts to your AI agent. It solves problems of email overhead, automating flows, and improving deliverability, making it ideal for managing complex email marketing workflows. With inputs like prompts and outputs like automated email campaigns, use nitrosend to reduce hours of email management to minutes.

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

## Description

AI-native email marketing platform built for agents like Claude, ChatGPT and Codex. Craft beautifl email campaigns, manage contacts, build automation flows, handle transactional email, and track performance — all through prompts to your AI Agent. Reduce hours of email overhead to minutes by having Claude manage it.

Supports campaigns, audience segmentation, welcome sequences, drip flows, templates, and deliverability analytics. No dashboard required.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-05-12

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/nitrosend/nitrosend)

## 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": "nitrosend-nitrosend"
    }
  }
}
```

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

---
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