# telegram-mcp-server

> telegram-mcp-server — steph-ux-telegram-mcp-server. Use this tool when you need to integrate Telegram functionality into your application, enabling features like messaging, media sharing, and chat management through user accounts or bots. It solves problems related to Telegram automation, chatbot development, and social media integration, providing a flood-safe rate limiting interface for reliable interactions. With inputs for user or bot credentials and outputs for message and media exchange, it's ideal for use cases requiring seamless Telegram interactions.

Canonical page: https://skillsregistry.net/skills/steph-ux-telegram-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/steph-ux-telegram-mcp-server

## Description

Enables interfacing with Telegram through user accounts or bots, offering tools for messaging, chat management, search, media sharing, and session control with flood-safe rate limiting.

## 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/ug23q4phc3)
- **Repository:** <https://github.com/Steph-ux/telegram-mcp-server>

## 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": "steph-ux-telegram-mcp-server"
    }
  }
}
```

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