MCP Telegram
Telegram MTProto-based MCP server with 19 tools for reading, searching, sending, forwarding, and summarizing messages
README
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mcp-telegram
MCP server for Telegram — let AI assistants interact with your Telegram account
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Features
- Chat Management: List, search, mute/unmute chats
- Messages: Read, search, inspect context, send, draft, schedule, link-resolve, and backup messages
- AI Summarization: Summarize chat conversations using multiple LLM providers
- Secure: Session stored in macOS Keychain (file-based storage on Linux/Windows)
Installation
go install github.com/tolmachov/mcp-telegram@latest
Or build from source:
git clone https://github.com/tolmachov/mcp-telegram.git
cd mcp-telegram
make
Setup
1. Get Telegram API Credentials
- Go to my.telegram.org/apps
- Create an application
- Copy
api_idandapi_hash
2. Configure Environment
Store credentials (macOS Keychain; plaintext JSON at ~/.local/state/mcp-telegram/config.json with 0600 perms on Linux/Windows):
mcp-telegram config set TELEGRAM_API_ID 123456789
mcp-telegram config set TELEGRAM_API_HASH abcd1234efgh5678
Or use a .env file:
cp .env.example .env
# Edit .env with your credentials
3. Login to Telegram
mcp-telegram login --phone +1234567890
You'll be prompted for a verification code sent to your Telegram.
4. Configure MCP Client
Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"telegram": {
"command": "mcp-telegram",
"args": ["run"],
"env": {
"TELEGRAM_API_ID": "your_api_id",
"TELEGRAM_API_HASH": "your_api_hash"
}
}
}
}
Claude Code
claude mcp add telegram -- /path/to/mcp-telegram run
Set environment variables in your .env file or pass them via --env.
Available Tools
19 tools exposed to MCP clients. Messages are identified by opaque string
handles ("42" for regular, "s:42" for scheduled) — copy them back
verbatim from tool outputs to follow-up calls, never parse or construct
them manually.
| Tool | Description |
|---|---|
GetMe |
Get current user information |
GetChats |
List all chats, groups, and channels |
SearchChats |
Fuzzy search for chats by name |
GetChatInfo |
Get detailed information about a chat |
GetMessages |
Get messages from a chat (set include_scheduled=true to also list pending scheduled messages in a separate field) |
SearchMessages |
Search within one chat by substring, with optional date / sender / media / thread filters |
SearchMessagesGlobal |
Search by substring across all chats with opaque cursor-based pagination |
GetMessageContext |
Get messages around a specific anchor message in chronological order |
SendMessage |
Send, reply, schedule, or draft a message. mode = send (default) / schedule / draft; reply_to_message_id works with any mode; schedule_at is RFC3339 |
EditMessage |
Edit a message; for scheduled handles, schedule_at reschedules delivery in the same call |
DeleteMessage |
Delete a message; "s:<id>" handles cancel pending scheduled messages |
ForwardMessage |
Forward a delivered message (scheduled handles are rejected) |
ResolveMessageLink |
Parse t.me / tg:// message links into chat_id, message_id, and topic_message_id for forum links |
MarkAsRead |
Mark one or more chats as read |
BackupMessages |
Export messages to a text file (idempotent; overwrites target) |
ResolveUsername |
Resolve @username to user/chat info |
SetChatMute |
Mute or unmute chat notifications (muted bool + optional duration_seconds) |
SummarizeChat |
AI-powered chat summarization via sampling / Gemini / Ollama / Anthropic |
GetMedia |
Download photo media from a message resource URI; returns MCP image content |
Available Resources
| URI | Description |
|---|---|
telegram://me |
Current user info |
telegram://chats |
All chats list |
telegram://chat/{id}/info |
Detailed info for any chat ID via resource template |
telegram://chats/{id} |
Last 100 messages from a pinned chat (dynamic resource, only for currently pinned chats) |
Pinned chat resources are created dynamically for each pinned chat and refreshed in the background; clients will receive resources/list_changed when the set changes.
Available Prompts
3 parameterized prompts that MCP clients expose as slash-commands or quick actions.
| Prompt | Arguments | Description |
|---|---|---|
daily-digest |
period — day (default) / week / month |
Walks active chats and produces a per-chat digest of key updates and action items. Read-only. |
chat-catchup |
chat (required) — ID / @username / title; period — day / week (default) / month |
Summarizes a specific chat and lists messages that look like they need a reply. Read-only. |
find-and-reply |
chat (required), query (required) — what to search for, reply (required) — reply text or instruction |
Searches for a message, shows a draft reply, and sends only after explicit user confirmation. |
Prompt Examples
Here are some example prompts you can use with AI assistants:
Message Management
- "Check for any unread important messages in my Telegram"
- "Summarize all my unread Telegram messages"
- "Read and analyze my unread messages, prepare draft responses where needed"
- "Check non-critical unread messages and give me a brief overview"
- "Find messages mentioning 'invoice' in my work chat from last week"
- "Open the context around this Telegram link: https://t.me/example/123"
Organization
- "Analyze my Telegram dialogs and suggest a folder structure"
- "Help me categorize my Telegram chats by importance"
- "Find all work-related conversations and suggest how to organize them"
Communication
- "Monitor specific chat for updates about [topic]"
- "Draft a polite response to the last message in [chat]"
- "Check if there are any unanswered questions in my chats"
- "Resolve this Telegram message link and show me the thread context"
Backup & Export
- "Backup my conversation with [contact] to a file"
- "Export the last week of messages from [group]"
- "Backup media-only updates too so nothing is silently skipped"
Chat Summarization
The SummarizeChat tool supports multiple LLM providers:
- sampling (experimental): Uses the MCP client's LLM via MCP Sampling. Only works with clients that support sampling: VS Code, fast-agent, Continue. Does NOT work with Claude Desktop or Claude Code.
- ollama: Local LLM via Ollama - no API key required
- gemini: Google Gemini API
- anthropic: Anthropic Claude API
Configure via environment variables:
SUMMARIZE_PROVIDER=ollama # or: sampling, gemini, anthropic
SUMMARIZE_MODEL= # provider-specific model name
Commands
# Run MCP server (used by MCP clients)
mcp-telegram run
# Login to Telegram
mcp-telegram login --phone +1234567890
# Logout and delete session
mcp-telegram logout
# Securely store config values (macOS Keychain / file on Linux)
mcp-telegram config set TELEGRAM_API_ID 123456789
mcp-telegram config set TELEGRAM_API_HASH abcd1234
# List stored keys
mcp-telegram config list
# Delete a stored value
mcp-telegram config delete TELEGRAM_API_ID
Allowed keys: TELEGRAM_API_ID, TELEGRAM_API_HASH, ANTHROPIC_API_KEY, GEMINI_API_KEY.
Configuration Options
| Environment Variable | Description | Default |
|---|---|---|
TELEGRAM_API_ID |
Telegram API ID | Required |
TELEGRAM_API_HASH |
Telegram API Hash | Required |
TELEGRAM_ALLOWED_PATHS |
Allowed directories for backups | OS app data dir |
SUMMARIZE_PROVIDER |
LLM provider for summarization | sampling (experimental) |
SUMMARIZE_MODEL |
Model name | Provider default |
SUMMARIZE_BATCH_TOKENS |
Tokens per summarization batch | 8000 |
OLLAMA_URL |
Ollama API URL | http://localhost:11434 |
GEMINI_API_KEY |
Google Gemini API key | - |
ANTHROPIC_API_KEY |
Anthropic API key | - |
TELEGRAM_MEDIA_MAX_BYTES |
Max bytes GetMedia will download per call (cap to avoid OOM on large attachments) |
52428800 (50 MiB) |
TELEGRAM_RATE_LIMIT_RPS |
RPS ceiling for history-fetching calls to Telegram. Exceeding Telegram's FLOOD_WAIT thresholds pauses all tools. | 0 (safe built-in default) |
TELEGRAM_PINNED_REFRESH_SECONDS |
Polling interval (seconds) for the pinned-chat resource watcher. 0 disables the watcher. |
30 |
Destructive Actions
Tools like DeleteMessage request user confirmation via MCP elicitation before proceeding. If your MCP client does not support elicitation, the server relies on the LLM's instructions to confirm verbally before executing destructive operations.
Session Storage
- macOS: Stored securely in Keychain.
- Linux/Windows: Stored in
~/.local/state/mcp-telegram/session.jsonwith0600file permissions. The file is plaintext — keep the containing user account trusted, and prefer running on macOS when handling sensitive accounts.
Config values set via mcp-telegram config set (API keys, Telegram credentials) follow the same backend: Keychain on macOS, plaintext JSON on Linux/Windows.
License
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