# neynar-inbox

> neynar-inbox — rishavmukherji-neynar-inbox. Use this tool when you need to manage email communications for AI agents, solving problems such as automated email processing and AI-driven email responses. The neynar-inbox tool takes in email inputs and outputs processed responses, providing an interface for AI agents to interact with email systems. It is ideal for use cases where automated email handling and AI-powered email management are required.

Canonical page: https://skillsregistry.net/skills/rishavmukherji-neynar-inbox  
JSON: https://api.skillsregistry.net/v1/skills/rishavmukherji-neynar-inbox

## Description

Email for AI agents.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** communication
- **Updated:** 2026-09-25

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/rishavmukherji-neynar-inbox)

## 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": "rishavmukherji-neynar-inbox"
    }
  }
}
```

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