is an MCP server that exposes your Telegram account as tools for AI agents. It uses (userbot protocol) — not Bot API — which means it can access any chat, channel, or DM your account has access to,...
Overview
is an MCP server that exposes your Telegram account as tools for AI agents. It uses (userbot protocol) — not Bot API — which means it can access any chat, channel, or DM your account has access to, without needing to add a bot. Connect it to Claude, Codex, or any MCP-compatible client and let agents read messages, search dialogs, download media, and fetch message links — all from your personal Telegram. Ask your agent to pull the last 50 unread messages from your favorite tech channels, filter for substance, and summarize what's worth reading. Find that message with the link someone sent you three weeks ago in a group of 500 people. Wire your AI agent to periodically check specific channels and pipe interesting content into your workflow — notes, capture files, summaries. Download files, images, or documents from any message your agent finds — useful for automating research pipelines. Full reference with parameters and examples → docs/tools.md Go to my.telegram.
README
What is this?
telegram-mcp is an MCP server that exposes your Telegram account as tools for AI agents. It uses MTProto (userbot protocol) — not Bot API — which means it can access any chat, channel, or DM your account has access to, without needing to add a bot.
Connect it to Claude, Codex, or any MCP-compatible client and let agents read messages, search dialogs, download media, and fetch message links — all from your personal Telegram.
Use Cases
📰 Channel digest Ask your agent to pull the last 50 unread messages from your favorite tech channels, filter for substance, and summarize what’s worth reading.
"Fetch unread messages from @some_channel since yesterday and summarize the key points"
🔍 Search your history Find that message with the link someone sent you three weeks ago in a group of 500 people.
"Search my dialogs for 'MCP server' and find where I discussed it"
🤖 Agent inbox monitoring Wire your AI agent to periodically check specific channels and pipe interesting content into your workflow — notes, capture files, summaries.
📎 Media extraction Download files, images, or documents from any message your agent finds — useful for automating research pipelines.
Tools
| Tool | Description |
|---|---|
search_dialogs |
Search chats, groups, and channels by name or username |
get_messages |
Fetch messages with date range, unread filter, and mark-as-read support |
search_messages |
Full-text search across all chats or within a specific chat |
media_download |
Download media (photo, video, document) from a message to a local file |
message_from_link |
Fetch a message by its t.me/... link |
delete_messages |
Delete messages from a chat (requires opt-in via bot-data/config.yml) |
send_message |
Send a text message to a chat (requires opt-in via bot-data/config.yml) |
send_file |
Send a local file to a chat as a document (requires opt-in via bot-data/config.yml) |
Full reference with parameters and examples → docs/tools.md
Quick Start
1. Get Telegram API credentials
Go to my.telegram.org, create an app, and grab your API_ID and API_HASH.
2. Install
git clone https://github.com/newink/telegram-mcp.git
cd telegram-mcp
bun install
cp .env.example .env
# Fill in TELEGRAM_API_ID and TELEGRAM_API_HASH
3. Start and authorize via browser
bun start
If no session is configured, the server starts in setup mode and prints an auth URL:
WARN: auth required — open URL to connect Telegram account
url: "http://localhost:3000/auth?token=a3f9b2c1-..."
Open the URL in your browser — you’ll see an auth page where you can sign in with a QR code (scan with Telegram → Settings → Devices → Link Desktop Device) or your phone number. After signing in, the session is saved to .env and the server is ready.
One-time token — the
/authURL is only valid once per server start and expires after successful login. Restarting the server generates a new token.
That’s it. Point your MCP client at http://localhost:3000/mcp.
Prefer the terminal? Use bun run auth
bun run auth
# Interactive CLI: QR code or phone number, saves session to .env
bun start
Both flows produce the same result — pick whichever fits your setup.
Docker
Run with Docker Compose — no Bun installation needed:
cp .env.example .env
# Fill in TELEGRAM_API_ID and TELEGRAM_API_HASH
docker compose up
The first time you start the container without a TELEGRAM_SESSION, it will print an auth URL — open it in your browser to sign in. The session is persisted to ./bot-data/ so you only need to auth once.
Pull pre-built image
# Latest stable
docker pull newink/telegram-mcp
# Or from GitHub Container Registry
docker pull ghcr.io/newink/telegram-mcp
Supported platforms: linux/amd64, linux/arm64 (Raspberry Pi, Apple Silicon via Rosetta).
Connect to Your AI Client
Claude Desktop
Start the server first (bun start), then add to claude_desktop_config.json:
{
"mcpServers": {
"telegram": {
"type": "http",
"url": "http://localhost:3000/mcp"
}
}
}
mcporter / OpenClaw
{
"mcpServers": {
"telegram": {
"baseUrl": "http://localhost:3000/mcp"
}
}
}
Direct HTTP (any client)
# Initialize session first, then call tools:
curl -X POST http://localhost:3000/mcp \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"search_dialogs","arguments":{"query":"news"}}}'
Environment Variables
| Variable | Required | Description |
|---|---|---|
TELEGRAM_API_ID |
Yes* | From my.telegram.org |
TELEGRAM_API_HASH |
Yes* | From my.telegram.org |
TELEGRAM_SESSION |
Yes* | Generated by browser auth or bun run auth |
PORT |
No | Server port (default: 3000) |
LOG_LEVEL |
No | Pino log level: trace|debug|info|warn|error (default: info) |
TELEGRAM_MOCK |
No | Set true to use mock data (no real Telegram needed) |
*Not required when TELEGRAM_MOCK=true.
Development
bun dev # Start with hot reload
bun test # Run tests (uses mock automatically)
bun run typecheck # TypeScript check
bun run lint # Biome lint + format
bun run lint:fix # Auto-fix lint issues
bun run knip # Find dead code
bun run audit # Full health check (types + lint + structure + TODOs)
Mock mode — develop and test without a real Telegram account:
TELEGRAM_MOCK=true bun dev # server with fake data
TELEGRAM_MOCK=true bun test # run tests
Mock data includes sample dialogs, messages, and media — enough to build and test new tools without touching the real API.
Project structure and architecture → docs/architecture.md MTProto specifics and gotchas → docs/mtproto.md Adding new tools → docs/tools.md
Built With
- Bun — runtime & package manager
- mtcute — MTProto client for TypeScript
- @modelcontextprotocol/sdk — MCP server SDK
- Zod — schema validation
- Biome — linter & formatter
License
MIT
Install
docker run -p 3000:3000 \Configuration
{
"mcpServers": {
"telegram": {
"type": "http",
"url": "http://localhost:3000/mcp"
}
}
}