# mcp-telegram

> mcp-telegram — j2h4u-mcp-telegram. Use this tool when you need to integrate Telegram functionality into your LLM workflow, enabling features like reading chat history, searching with context, and looking up entities by name. It solves problems related to information retrieval and entity recognition within Telegram chats. The tool accepts input queries and returns relevant results, making it ideal for use cases requiring contextual understanding and entity disambiguation.

Canonical page: https://skillsregistry.net/skills/j2h4u-mcp-telegram  
JSON: https://api.skillsregistry.net/v1/skills/j2h4u-mcp-telegram

## Description

MCP server exposing Telegram as tools for LLMs — read history, search with context, look up entities by name

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/j2h4u/mcp-telegram)

## 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": "j2h4u-mcp-telegram"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/j2h4u-mcp-telegram` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/j2h4u-mcp-telegram/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