# resend

> Use this tool when you need to retrieve items with typed responses and handle errors efficiently. It solves problems related to data retrieval and error management by providing a reliable API interface. The Resend API takes query inputs and returns listed items with typed responses as outputs, making it ideal for use cases requiring robust data fetching and error handling.

Canonical page: https://skillsregistry.net/skills/joecardoso13-mcp-resend  
JSON: https://api.skillsregistry.net/v1/skills/joecardoso13-mcp-resend

## Description

Provides access to the Resend API, enabling AI assistants to list and retrieve items with typed responses and error handling.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/un6wtmpwsk)
- **Repository:** <https://github.com/JoeCardoso13/mcp-resend>

## 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": "joecardoso13-mcp-resend"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/joecardoso13-mcp-resend` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/joecardoso13-mcp-resend/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