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.
README
mcp-telegram
An MCP server that connects AI assistants like Claude to your real Telegram account via the User API (MTProto). Not a bot — Claude reads and sends messages as you.
Built with gotd/td and the official MCP Go SDK.
Telegram API Terms of Service: This project uses the Telegram User API. You must obtain your own
api_idandapi_hashfrom my.telegram.org and comply with the Telegram API Terms of Service. Misuse of the User API (spam, bulk messaging, scraping) may result in your account being banned. You are solely responsible for how you use this tool.
Contents
- Features
- What you can do with it
- How it compares to chaindead/telegram-mcp
- Quick start
- Client configuration
- Configuration reference
- Security
Features
| Tool | What it does | Required permission |
|---|---|---|
tg_me |
Returns current account info | — |
tg_dialogs |
Lists dialogs visible to the ACL whitelist | — |
tg_history |
Fetches message history with pagination, date filtering, and media download | read |
tg_search |
Searches messages in a chat by text query, with optional sender filter | read |
tg_send |
Sends a text message or file, with optional reply-to | send |
tg_forward |
Forwards messages from one chat to another | read + send |
tg_draft |
Saves a draft message (does not send) | draft |
tg_mark_read |
Marks a chat as read | mark_read |
Additional capabilities:
- File and photo sending
- Forward messages between chats
- Reply to specific messages
- Download photos and documents from message history
- Filter history by date range (
since/until) - Typed peer references (
user:ID,chat:ID,channel:ID) to prevent ID collisions - Lazy peer resolution — avoids
FLOOD_WAITerrors at startup - Global rate limiting at the RPC level
What you can do with it
Once connected, you can ask your AI assistant things like:
Catch up on messages
- "Check my unread Telegram messages and give me a summary"
- "What did @alice write in the last 24 hours?"
- "Show me messages from the Dev Team chat since Monday"
Reply and communicate
- "Draft a response to the last message from @bob — don't send it yet"
- "Send 'sounds good, let's meet at 3pm' to @alice"
- "Reply to message 1234 in the project chat with my feedback"
Manage your inbox
- "Mark all read in the news channel"
- "Which of my whitelisted chats have unread messages?"
- "Download the photos from today's messages in the design chat"
Research and analyze
- "Find all messages mentioning the deployment in the last week"
- "Summarize the discussion in the team chat from yesterday"
- "What files were shared in the project channel this month?"
How it compares to chaindead/telegram-mcp
| mcp-telegram | chaindead/telegram-mcp | |
|---|---|---|
| Access control | Default-deny ACL whitelist with granular per-chat permissions | Full access to all chats |
| Peer addressing | Typed references (user:ID, chat:ID, channel:ID) |
Numeric IDs only (collision-prone) |
| Configuration | YAML config with environment variable expansion | CLI flags |
| Startup safety | Lazy peer resolution (no bulk API calls) | Eager resolution (FLOOD_WAIT risk) |
| Rate limiting | Built-in token bucket middleware | None |
| File support | Send files, photos; download media from history | Text only |
| Reply support | Yes | No |
| Date filtering | Yes | No |
Quick start
Prerequisites
- Go 1.26+
- A Telegram account
- API credentials from my.telegram.org (
api_idandapi_hash)
Install
Homebrew (macOS / Linux):
brew install Prgebish/tap/mcp-telegram
NPX (no install needed):
npx @prgebish/mcp-telegram serve --config config.yaml
Pre-built binaries (macOS / Linux / Windows):
Download from GitHub Releases.
Go install:
go install github.com/Prgebish/mcp-telegram/cmd/mcp-telegram@latest
From source:
git clone https://github.com/Prgebish/mcp-telegram.git
cd mcp-telegram
go build ./cmd/mcp-telegram
This produces mcp-telegram (or mcp-telegram.exe on Windows) in the current directory.
Authenticate
Run the auth command once to create a session file. You will be prompted for your phone number, the login code, and (if enabled) your 2FA password.
macOS / Linux:
export TG_APP_ID=12345
export TG_API_HASH="your_api_hash"
mcp-telegram auth --config config.yaml
Windows (PowerShell):
$env:TG_APP_ID = "12345"
$env:TG_API_HASH = "your_api_hash"
mcp-telegram.exe auth --config config.yaml
Windows (cmd):
set TG_APP_ID=12345
set TG_API_HASH=your_api_hash
mcp-telegram.exe auth --config config.yaml
Configure
Create a config.yaml:
telegram:
app_id: ${TG_APP_ID}
api_hash: ${TG_API_HASH}
session_path: ~/.config/mcp-telegram/session.json
acl:
chats:
- match: "@username"
permissions: [read, draft, mark_read]
- match: "user:123456789"
permissions: [read, send]
- match: "channel:2225853048"
permissions: [read, mark_read]
limits:
max_messages_per_request: 50
max_dialogs_per_request: 100
rate:
requests_per_second: 2.0
burst: 3
logging:
level: info
Environment variables in ${...} syntax are expanded at load time.
Client configuration
The server communicates over stdio — your MCP client starts and manages the process.
Claude Code (CLI — add via command):
claude mcp add telegram -- /path/to/mcp-telegram serve --config /path/to/config.yaml
Claude Desktop / Claude Code (~/.claude.json or claude_desktop_config.json):
{
"mcpServers": {
"telegram": {
"command": "/path/to/mcp-telegram",
"args": ["serve", "--config", "/path/to/config.yaml"],
"env": {
"TG_APP_ID": "12345",
"TG_API_HASH": "your_api_hash"
}
}
}
}
Cursor (Settings > MCP Servers > Add):
{
"telegram": {
"command": "/path/to/mcp-telegram",
"args": ["serve", "--config", "/path/to/config.yaml"],
"env": {
"TG_APP_ID": "12345",
"TG_API_HASH": "your_api_hash"
}
}
}
Configuration
ACL
The ACL is default-deny. Only chats explicitly listed in acl.chats are accessible, and only with the permissions you specify.
Supported match patterns:
| Pattern | Example | Description |
|---|---|---|
@username |
@johndoe |
Match by Telegram username (case-insensitive) |
+phone |
+79001234567 |
Match by phone number |
user:ID |
user:123456789 |
Match a user by numeric ID |
chat:ID |
chat:987654321 |
Match a group chat by numeric ID |
channel:ID |
channel:2225853048 |
Match a channel or supergroup by numeric ID |
Permission types: read, send, draft, mark_read.
If the same peer matches multiple rules (e.g. via @username and user:ID), permissions are merged — they never shadow each other.
Rate limiting
The limits.rate section configures a global token bucket that wraps all Telegram RPC calls:
requests_per_second— sustained rate (default: 2.0)burst— maximum burst size (default: 3)
Media download
media:
download: [photo, document, video, voice, audio]
directory: ~/telegram-media
allowed_upload_dirs:
- ~/Documents
- ~/Downloads
When configured, tg_history will automatically download media files to the specified directory. The download_to parameter can override the path, but only to media.directory or its subdirectories.
allowed_upload_dirs restricts which directories tg_send can read files from. File sending is disabled unless this is configured.
Security
- Default-deny ACL — no chat is accessible unless explicitly whitelisted
- Filesystem boundary —
tg_sendcan only read files fromallowed_upload_dirs;download_tois restricted to subdirectories ofmedia.directory - Session file permissions — enforced to
0600(owner-only read/write) - No secret logging — API hashes, session tokens, and auth keys are never written to logs
- No access hash exposure — internal Telegram access hashes are stripped from all tool output
- Rate limiting — prevents accidental API abuse
- Local timezone — date filters use your system timezone, not UTC
License
If you find this project useful, please give it a star — it helps others discover it.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.