# tg2llm

> tg2llm — xeroc-tg2llm. Use this tool when you need to manage Telegram interactions programmatically, solving problems such as automating chatbot responses or integrating Telegram with other services. It provides a full-featured interface to interact with Telegram, accepting inputs like chat messages and user interactions, and generating outputs like automated responses or notifications. Ideal for use cases like building custom chatbots or integrating Telegram with Git version control systems.

Canonical page: https://skillsregistry.net/skills/xeroc-tg2llm  
JSON: https://api.skillsregistry.net/v1/skills/xeroc-tg2llm

## Description

full featured telegram mcp

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-29

## Source

- **Source listing:** [GitHub](https://github.com/xeroc/tg2llm)

## 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": "xeroc-tg2llm"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xeroc-tg2llm` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xeroc-tg2llm/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