# telegram-mcp

> Use this tool when you need to integrate large language models (LLMs) with Telegram for sending notifications and receiving user responses. It solves problems of real-time communication and feedback collection, enabling LLMs to interact with users via a popular messaging platform. The tool accepts input from LLMs and outputs notifications and responses via Telegram, ideal for use cases requiring user engagement and feedback.

Canonical page: https://skillsregistry.net/skills/mobilevibe-telegram-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mobilevibe-telegram-mcp

## Description

Enables LLMs to send notifications and receive responses via Telegram.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/z5f28bu1hu)
- **Repository:** <https://github.com/MobileVibe/telegram-mcp>

## 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": "mobilevibe-telegram-mcp"
    }
  }
}
```

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