Mcp Telegram

@Prgebish

关于 Mcp Telegram

MCP server that connects AI assistants to your real Telegram account via User API (MTProto). Features default-deny ACL with per-chat permissions, message search, file sending, forwarding, media downloads, and rate limiting.

配置

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该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

工具

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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Mcp Telegram?

Mcp Telegram is an MCP server that connects AI assistants to your real Telegram account using Telegram’s User API (MTProto). It is designed for developers and users who want to give AI assistants direct, permission-controlled access to Telegram chats.

How to use Mcp Telegram?

Set up the server with your Telegram API credentials (API ID and hash) and configure its default-deny ACL with per-chat permissions. Specific invocation commands or configuration keys are not detailed in the available README excerpt.

Key features of Mcp Telegram

Default-deny ACL with per-chat permissions
Message search across chats
File sending and forwarding
Media downloads
Rate limiting support
Connects via MTProto User API

Use cases of Mcp Telegram

Let an AI assistant search your chat history for past messages
Automate file forwarding between Telegram chats
Enable an AI to download media from specific chats
Grant limited, permission‑scoped access to Telegram for third‑party tools
Build custom automation that sends files or messages on your behalf

FAQ from Mcp Telegram

How does Mcp Telegram handle permissions?

It uses a default‑deny ACL with per‑chat permissions, so each chat must be explicitly allowed before the server can interact with it.

Does Mcp Telegram use the Bot API or the User API?

It uses the User API (MTProto), meaning it connects to your real Telegram account rather than a bot.

Is there rate limiting?

Yes, the server includes rate limiting to prevent abuse.

What credentials do I need to run Mcp Telegram?

Because it uses the MTProto User API, you need a Telegram account and the associated API ID and API hash.

Where does my data live?

The README excerpt does not specify data storage details. The server likely processes messages and media in memory or transiently, but you should review the full documentation for data handling practices.