# AwrAiter

> AwrAiter — mediazione-awraiter. Use this tool when you need to manage Telegram channels efficiently, as it enables drafting and scheduling posts, publishing content, and retrieving channel analytics. AwrAiter solves problems related to content management and analytics tracking for Telegram channels, streamlining tasks for MCP-capable AI assistants. It accepts inputs such as post content and scheduling parameters, and outputs published posts and channel analytics.

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

## Description

Enables managing Telegram channels from MCP-capable AI assistants, including drafting and scheduling posts, publishing content, and retrieving channel analytics.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i48m7ns37q)
- **Repository:** <https://github.com/MediaZione/AwrAiter>

## 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": "mediazione-awraiter"
    }
  }
}
```

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