# Telegram Personal

> Use this tool when you need to integrate AI functionality with personal Telegram accounts, solving problems such as managing chat history, searching messages, and automating responses. It takes Telegram API credentials as input and provides outputs including summarized chat history, searched messages, and drafted replies. Use it to streamline Telegram account management and automate tasks within the context of personal messaging and chat management.

Canonical page: https://skillsregistry.net/skills/bchewy-telegram-personal  
JSON: https://api.skillsregistry.net/v1/skills/bchewy-telegram-personal

## Description

Telegram Personal provides AI clients with access to personal Telegram accounts via the official Telegram API. The server enables chat history summarization, message search, unread message triage, reply drafting, and group management. Users supply their own Telegram API credentials from my.telegram.org to authenticate and connect their accounts.

## Trust

- **Trust score (0–1):** 0.87
- **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:** [PulseMCP](https://www.pulsemcp.com/servers/bchewy-telegram-personal)
- **Repository:** <https://github.com/bchewy/codex-telegram-plugin>

## 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": "bchewy-telegram-personal"
    }
  }
}
```

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