telegram-user-mcp
An MCP server that connects to Telegram as your real user account and exposes read-only tools to read and search messages, list chats and folders, inspect group info, and download media.
README
telegram-user-mcp
An MCP server that connects to Telegram as your real user account (MTProto via GramJS) and exposes read-only tools — read & search messages, list your chats/folders, inspect group info, and download media — to any MCP client (Claude Desktop, Cursor, etc.).
Because it logs in as you, it can see everything your account can: private channels and groups you're a member of, DMs, and their media. A bot cannot do this — that's the whole point of this server.
⚠️ Security: logging in creates a session string in
~/.telegram-mcp-session. That string grants full access to your Telegram account — treat it like a password. Never share it, never commit it, never paste it into a hosted service. This server keeps it on your machine and only ever reads.
Quick start
You need Node.js ≥ 18.
1. Get Telegram API credentials
Go to https://my.telegram.org → API development tools → create an app, and copy
your api_id and api_hash. (These identify the app, not your account.)
2. Run setup (one time)
npx telegram-user-mcp setup
It asks for your api_id, api_hash, and phone number, then logs you in (you'll get
a login code in the Telegram app; enter it, plus your 2FA password if you have one).
This writes:
~/.telegram-mcp-config.json—{ apiId, apiHash, phoneNumber }~/.telegram-mcp-session— your login session (keep secret)
3. Register it in your MCP client
Claude Desktop (claude_desktop_config.json) or Cursor (~/.cursor/mcp.json):
{
"mcpServers": {
"telegram": {
"command": "npx",
"args": ["-y", "telegram-user-mcp"]
}
}
}
Restart the client. The Telegram tools will appear.
Tools (all read-only)
Reading & search
| Tool | Args | Returns |
|---|---|---|
read_messages |
groupUrl, limit |
recent messages (with id + media tag) |
search_messages |
groupUrl, query, limit |
keyword search within a chat |
fetch_since |
groupUrl, sinceId, limit |
only messages newer than sinceId; returns the new max id |
get_message |
groupUrl, messageId |
one message + metadata (views/forwards/reactions/replies/media flag) |
global_search |
query, limit |
search across all chats you're in |
Discovery & navigation
| Tool | Args | Returns |
|---|---|---|
get_group_info |
groupUrl |
group/channel metadata (title, members, about) |
list_dialogs |
limit, archived |
all chats/channels you're in, with unread counts |
list_folders |
— | chat folders (dialog filters) |
get_pinned |
groupUrl, limit |
pinned message(s) |
Media
| Tool | Args | Returns |
|---|---|---|
get_media_info |
groupUrl, messageId |
media type/mime/size/duration/filename without downloading |
get_thumbnail |
groupUrl, messageId |
downloads just the small preview image (a few KB) instead of the full video/file |
download_media |
groupUrl, messageId, maxMB |
downloads video/photo/document/voice to disk; returns the saved path |
groupUrl accepts a https://t.me/... link, an @username, or a numeric id (as
printed by list_dialogs). Media downloads land in ~/.telegram-mcp-downloads/.
download_media refuses files over maxDownloadMB (default 200) unless maxMB
overrides it (maxMB: 0 = no limit), and reports a clear error for channels that
restrict saving (no-forward). For heavy videos you only want to preview, use
get_thumbnail — a 1 GB video has an ~18 KB thumbnail.
Configuration
~/.telegram-mcp-config.json:
{
"apiId": 123456,
"apiHash": "your_api_hash",
"phoneNumber": "+9725...",
"downloadDir": "~/.telegram-mcp-downloads",
"maxDownloadMB": 200
}
downloadDir and maxDownloadMB are optional.
Run from source
git clone https://github.com/KobiHaz/telegram-user-mcp.git
cd telegram-user-mcp
npm install
npm run setup
npm start
License
MIT © Kobi Hazout
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。