Telegram MCP provides programmatic access to Telegram accounts through Claude and other MCP-compatible clients, exposing tools built on Telethon for chat management, messaging, group administration, and user management. The server enables AI agents to retrieve chat history, send messages, create groups and channels, manage participants, and perform administrative actions like promoting admins or banning users. It solves the problem of integrating Telegram automation directly into AI workflows, allowing Claude to interact with Telegram data and perform account actions as part of larger agent tasks.
A Telegram integration for Claude, Cursor, and other MCP-compatible clients. It exposes Telegram account, chat, message, contact, media, folder, and admin operations through the Model Context Protocol using Telethon.
Basic Telegram MCP usage in Claude:

Asking Claude to analyze chat history and send a response:

Message sent successfully:

The server currently includes 80+ MCP tools grouped into these areas:
send_message, reply_to_message, and edit_message support classic formatting (parse_mode='md'/'html') and server-side rich formatting (parse_mode='rich'/'rich_markdown'/'rich_html' — full Markdown/HTML with tables, headings, formulas, and collapsible sections). Rich modes require Telegram Premium on the account; Premium is re-checked on every call, and without it nothing is sent — the tool returns a structured telegram_premium_required result so the agent can reformat with classic modes and retry.set_contact_alias teaches the server what you call someone, and every tool that takes a chat_id understands it from then on — send_message("андрей бекендер", ...) just works. A contact can carry any number of aliases, which is how tags work: save both андрей бекендер and бекендер for the same person and either resolves.
Only an exact saved wording ever sends. Similar wording (Андрею бекендеру for a saved андрей бекендер) is matched too, but only to suggest: the tool sends nothing and asks you to confirm the contact by name. This is deliberate — Лена/Леня and Иван/Иванов differ exactly as much as a case ending does, so a matcher confident enough to handle declensions is also confident enough to message the wrong person whenever the one you meant is not saved yet. Confirming saves that wording as its own alias, so each new phrasing costs one yes/no the first time and nothing ever again. Set TELEGRAM_CONTACT_FUZZY=0 to drop the suggestions too.
When a reference is unknown, resembles one contact, matches several, or points at a contact that no longer resolves, tools send nothing and return a structured instruction telling the agent exactly what to ask you, to save the answer with set_contact_alias, and to retry once. list_contact_aliases shows one row per person with all their aliases (use it to spot a wrong memory), delete_contact_alias forgets one, and repointing an alias at someone else requires replace=True. The save path itself refuses a target it would have to guess at: contacts are saved by @username, phone, numeric ID, or an alias already confirmed for them.
Aliases live in ${XDG_STATE_HOME:-~/.local/state}/telegram-mcp/aliases.json (owner-only, written atomically); TELEGRAM_ALIASES_FILE overrides the path, and a pre-existing aliases.json next to the code is still read as a fallback.
wait_for_new_message, wait_for_settled_message), or enable the opt-in incoming event feed for callback-style delivery (see below).All tool results that include Telegram user-controlled content are sanitized and, where practical, returned as structured JSON.
By default, an agent waits for replies by calling wait_for_settled_message, which blocks up to the MCP tool timeout and must be re-called — that works everywhere (Codex, Cursor, etc.) and is unchanged.
Clients that can wake an agent on external output (Claude Code's persistent Monitor on tail -f) can switch to callback mode instead:
enable_incoming_feed (or set TELEGRAM_EVENT_FEED=1 in the environment to auto-enable). Each settled incoming burst is appended as one JSON line to ${XDG_STATE_HOME:-~/.local/state}/telegram-mcp/incoming_feed.jsonl, created owner-only (0600). Override the path with TELEGRAM_EVENT_FEED_FILE — an explicit path's directory must already exist. incoming_feed_status reports the effective path and a ready-to-use watch command.watch_command returned by the tool. Every new line re-invokes the agent with the burst summary; no blocking tool call is held open, and the chat stays free.disable_incoming_feed switches back; incoming_feed_status reports the current mode. While the feed is enabled it consumes settled bursts, so don't combine it with wait_for_settled_message. Feed lines contain user-generated name fields — treat them as untrusted data.
Do not install this server with
uvx telegram-mcp,uvx --from telegram-mcp, orpip install telegram-mcp. Thetelegram-mcpname on PyPI is currently owned by a different project and does not install this repository. PassingTELEGRAM_API_ID,TELEGRAM_API_HASH, orTELEGRAM_SESSION_STRINGto that package can expose Telegram account credentials to unrelated third-party code.
git clone https://github.com/chigwell/telegram-mcp.git
cd telegram-mcp
uv sync
uv run session_string_generator.py
Follow the prompts. Save the generated session string securely.
For scripted setup or operational runbooks, choose the login method explicitly:
# QR login, recommended when you already have Telegram open on another device
uv run session_string_generator.py --qr
# Phone number + verification code login
uv run session_string_generator.py --phone
Without a flag, the generator keeps the interactive method prompt.
Copy the example file and fill in your real values:
cp .env.example .env
Single-account setup:
TELEGRAM_API_ID=your_api_id_here
TELEGRAM_API_HASH=your_api_hash_here
TELEGRAM_SESSION_STRING=your_session_string_here
By default, all Telegram MCP tools are exposed. If you want to prevent MCP
clients from sending messages or performing chat/account mutations, set
TELEGRAM_EXPOSED_TOOLS=read-only to expose only tools annotated with
readOnlyHint=True:
TELEGRAM_EXPOSED_TOOLS=read-only
If read-only is too strict but all is too broad, append + and a
comma-separated list of tool names to also expose those specific write tools.
Every other write tool stays unregistered:
TELEGRAM_EXPOSED_TOOLS=read-only+send_message,reply_to_message,send_file
An unknown name in the allowlist aborts startup, so a typo cannot silently degrade into a narrower surface that looks like it worked.
This is an MCP tool-surface restriction, not a Telegram session sandbox or
reduced Telegram account permission. The Telegram session string still has its
normal authority inside the server process; read-only mode only prevents
non-read-only tools from being registered and exposed through MCP. Accepted
values are all (the default), read-only, and read-only+<tool>,<tool>.
Run the server locally:
uv run main.py
For Claude Desktop or Cursor, point the MCP server at a cloned checkout of this project:
{
"mcpServers": {
"telegram-mcp": {
"command": "uv",
"args": [
"--directory",
"/full/path/to/telegram-mcp",
"run",
"main.py"
],
"env": {
"TELEGRAM_API_ID": "your_api_id_here",
"TELEGRAM_API_HASH": "your_api_hash_here",
"TELEGRAM_SESSION_STRING": "your_session_string_here"
}
}
}
}
To expose only read-only tools in Claude Desktop or Cursor, add this to the
server env block:
"TELEGRAM_EXPOSED_TOOLS": "read-only"
Or keep read-only as the baseline and allow a few write tools on top:
"TELEGRAM_EXPOSED_TOOLS": "read-only+send_message,reply_to_message"
Alternatively, install this repository directly from GitHub into a virtual environment using a specific release tag or commit:
python -m venv .venv
. .venv/bin/activate
pip install "git+https://github.com/chigwell/telegram-mcp.git@<tag-or-commit>"
Then configure your MCP client to run the installed console script:
{
"mcpServers": {
"telegram-mcp": {
"command": "/full/path/to/.venv/bin/telegram-mcp",
"env": {
"TELEGRAM_API_ID": "your_api_id_here",
"TELEGRAM_API_HASH": "your_api_hash_here",
"TELEGRAM_SESSION_STRING": "your_session_string_here"
}
}
}
}
Generate a session string without cloning the repo by sourcing this repository from GitHub explicitly:
uvx --from "git+https://github.com/chigwell/telegram-mcp.git@<pinned-release-tag-or-commit>" telegram-mcp-generate-session
The server speaks three MCP transports, selected with MCP_TRANSPORT:
| Value | Transport | Use case |
|---|---|---|
stdio | stdio (default) | One dedicated server process per MCP client |
http | streamable HTTP | One shared server for many clients (Claude Code, Codex, Cursor) |
sse | SSE (legacy HTTP) | Clients that only support the deprecated SSE transport |
For http and sse, the server binds MCP_HOST:MCP_PORT (default
127.0.0.1:8765); the streamable HTTP endpoint is /mcp, the SSE endpoint is
/sse.
If the server is reachable via a domain (e.g. behind a reverse proxy) rather
than only 127.0.0.1/localhost, set MCP_ALLOWED_HOSTS (and optionally
MCP_ALLOWED_ORIGINS) to enable DNS-rebinding protection and allow that Host
header, e.g. MCP_ALLOWED_HOSTS=mcp.example.com. Comma-separated; supports a
:* suffix to allow any port. Left unset, DNS-rebinding protection stays off
(the historical default).
Prefer http when more than one MCP client (or many coding-agent sessions)
will use the server: a single long-lived process holds one Telegram
connection, instead of every client spawning its own Telethon session —
Telegram throttles and may flag accounts that open many parallel sessions.
Register the shared server with clients:
# Claude Code
claude mcp add --transport http telegram http://127.0.0.1:8765/mcp
# Codex
codex mcp add telegram --url http://127.0.0.1:8765/mcp
For stdio-only clients, bridge with mcp-remote:
{
"mcpServers": {
"telegram-mcp": {
"command": "npx",
"args": ["-y", "mcp-remote", "http://127.0.0.1:8765/mcp"]
}
}
}
Use suffixed session variables to configure multiple Telegram accounts:
TELEGRAM_API_ID=your_api_id_here
TELEGRAM_API_HASH=your_api_hash_here
TELEGRAM_SESSION_STRING_WORK=session_string_for_work
TELEGRAM_SESSION_STRING_PERSONAL=session_string_for_personal
Labels are lowercased and become the account parameter value in tools.
account is optional.account.account is omitted.Example prompts:
To run several MCP clients against the same Telegram account at once (for
example the desktop app and a terminal CLI), give each client its own
authorized session. Telegram forbids one session (auth key) being used from two
IPs simultaneously, so on a VPN or dual-stack host two local clients can collide
with AuthKeyDuplicatedError. List several interchangeable session strings in
TELEGRAM_SESSION_STRINGS (separated by whitespace, comma or semicolon); each
process claims a free one via an advisory file lock, so clients deterministically
pick distinct sessions:
TELEGRAM_SESSION_STRINGS=<session A> <session B> <session C>
Generate extra sessions with uv run session_string_generator.py. The pool
takes precedence over TELEGRAM_SESSION_STRING for the default account. As an
extra safety net, a transient AuthKeyDuplicatedError at connect time (e.g.
during a VPN reconnect) is retried with backoff before the server gives up.
These optional variables control how the client appears in Telegram under Settings > Devices (the active-sessions list):
TELEGRAM_DEVICE_MODEL=Telegram MCP
TELEGRAM_SYSTEM_VERSION=1.0
TELEGRAM_APP_VERSION=1.0
If left unset, Telethon falls back to the host platform (for example arm64).
Because these values are re-sent on every connection, a long-running server
would otherwise overwrite the name chosen during login on each reconnect, so
set them to keep a stable, recognisable device name. The same variables are
read both by the session string generator (at login) and by the server (on
every connect), so set them in the same place as your other credentials.
Route Telegram traffic through a proxy by setting the TELEGRAM_PROXY_*
environment variables. Supported types are socks5, socks4, http, and
mtproxy.
SOCKS and HTTP proxies require the optional python-socks package:
uv sync --extra proxy
# or
pip install python-socks
Single-account configuration:
TELEGRAM_PROXY_TYPE=socks5
TELEGRAM_PROXY_HOST=127.0.0.1
TELEGRAM_PROXY_PORT=1080
TELEGRAM_PROXY_USERNAME=optional_user
TELEGRAM_PROXY_PASSWORD=optional_pass
TELEGRAM_PROXY_RDNS=true
MTProxy:
TELEGRAM_PROXY_TYPE=mtproxy
TELEGRAM_PROXY_HOST=mtproxy.example
TELEGRAM_PROXY_PORT=443
TELEGRAM_PROXY_SECRET=ee0123456789abcdef...
Per-account overrides use the same _<LABEL> suffix as session variables and
take precedence over the unsuffixed defaults:
TELEGRAM_PROXY_TYPE=socks5
TELEGRAM_PROXY_HOST=127.0.0.1
TELEGRAM_PROXY_PORT=1080
TELEGRAM_PROXY_TYPE_WORK=http
TELEGRAM_PROXY_HOST_WORK=proxy.work.example
TELEGRAM_PROXY_PORT_WORK=3128
Misconfigured proxy settings (unknown type, missing host/port, invalid port,
missing MTProxy secret, or a missing python-socks package) cause the server
to fail fast at startup with a clear error message instead of silently
bypassing the proxy.
File-path tools are disabled until allowed roots are configured. This affects tools such as send_file, download_media, upload_file, send_voice, send_sticker, set_profile_photo, and edit_chat_photo.
Allowed roots can come from:
Security behavior:
file:// URIs. That breaks MCP SDK validation of list_roots;
the server recovers those absolute paths from the validation error so
file-path tools keep working.TELEGRAM_ALLOW_SERVER_ROOTS_FALLBACK=1 to fall back to the server CLI roots
in that case (opt-in; the default stays deny-all). The same opt-in also applies
when list_roots fails unexpectedly and no client paths could be recovered.<first_root>/downloads/.Run with allowed roots:
uv run main.py /data/telegram /tmp/telegram-mcp
From an MCP client configuration, pass the same roots after main.py:
{
"mcpServers": {
"telegram-mcp": {
"command": "uv",
"args": [
"--directory",
"/full/path/to/telegram-mcp",
"run",
"main.py",
"/data/telegram",
"/tmp/telegram-mcp"
],
"env": {
"TELEGRAM_API_ID": "your_api_id_here",
"TELEGRAM_API_HASH": "your_api_hash_here",
"TELEGRAM_SESSION_STRING": "your_session_string_here"
}
}
}
}
Build the image:
docker build -t telegram-mcp:latest .
Run one long-lived container serving streamable HTTP, and point every MCP client at it (see Transports for client registration):
docker run -d --name telegram-mcp --restart unless-stopped \
--env-file .env \
-e MCP_TRANSPORT=http \
-e MCP_HOST=0.0.0.0 \
-p 127.0.0.1:8765:8765 \
telegram-mcp:latest
MCP_HOST=0.0.0.0 binds inside the container so the published port works;
-p 127.0.0.1:8765:8765 keeps the server reachable only from the local
machine — the endpoint is unauthenticated, so never publish it on a public
interface.
The bundled Compose file runs the same setup:
docker compose up --build -d
Alternatively, an MCP client can spawn a dedicated container itself:
{
"mcpServers": {
"telegram-mcp": {
"command": "docker",
"args": ["run", "-i", "--rm", "--env-file", "/full/path/to/.env", "telegram-mcp:latest"]
}
}
}
This is fine for a single client, but with several clients (or coding agents that spawn subagent sessions) each one starts its own container and its own Telegram session, which Telegram throttles; a client that exits uncleanly can also leave its container running. Prefer the shared server above in those setups.
For multiple accounts, pass variables such as TELEGRAM_SESSION_STRING_WORK and TELEGRAM_SESSION_STRING_PERSONAL.
The implementation is split into a small compatibility entrypoint and modular package code:
main.py # historical entrypoint and compatibility exports
telegram_mcp/runtime.py # shared MCP setup, account routing, validation, file safety
telegram_mcp/runner.py # application startup
telegram_mcp/tools/ # tool modules grouped by domain
sanitize.py # output sanitization helpers
tests/ # pytest suite
Run tests:
uv run pytest
Run tests with coverage:
uv run pytest --cov --cov-report=term-missing --cov-report=xml
Coverage is configured in pyproject.toml with an 80% minimum gate for deterministic unit-testable core modules. GitHub Actions runs the same coverage command and uploads coverage.xml.
Run formatting checks:
uv run black --check .
uv run flake8 .
.env, session strings, or .session files.telegram-mcp package name on PyPI is not controlled by this project.
Avoid PyPI-based telegram-mcp install commands unless ownership changes and
the package is verified.telegram-mcp distributions without a source checkout or direct git/file
install record. That guard cannot run when the unrelated PyPI package itself
is launched, so use clone-based or explicit git installs.TELEGRAM_PROXY_* is configured, Telegram traffic is routed through the
configured SOCKS/HTTP/MTProxy proxy instead.Telegram messages, display names, chat titles, and button labels are untrusted content. The server mitigates prompt-injection risk with:
sanitize_user_content(), sanitize_name(), and sanitize_dict() for control-character stripping, invisible-character stripping, and length limits.TELEGRAM_SESSION_STRING, TELEGRAM_SESSION_NAME, or suffixed multi-account variants.uv run session_string_generator.py --qr outside
the MCP server when you can scan from an existing Telegram app, or
uv run session_string_generator.py --phone when you need phone-code login.
Then set TELEGRAM_SESSION_STRING in .env. The MCP server does not perform
interactive phone-code login over stdio.TELEGRAM_API_ID and TELEGRAM_API_HASH at my.telegram.org/apps.mcp_errors.log.uv syncuv run pre-commit install --hook-type pre-commit --hook-type pre-pushuv run pre-commit run --all-filesuv run pre-commit run --hook-stage pre-push --all-filesThis project is licensed under the Apache 2.0 License.
Maintained by @chigwell and @l1v0n1. PRs welcome.
io.github.mindstone/mcp-server-microsoft-teams
com.mintmcp/outlook-email
helbertparanhos/resend-email-mcp
marlinjai/email-mcp
io.github.mindstone/mcp-server-email-imap
io.github.osamahassouna/email-playbook-mcp