Which integrations are available for this server?

Provides tools for interacting with the Telegram API, enabling AI agents to perform read-only analytics (e.g., fetching participants, messages, groups, dialogs) and guarded write actions (e.g., sending messages, joining groups) with built-in rate limiting, anti-spam protection, and session management.

How do I use tg-mcp-guarded?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@tg-mcp-guarded list my recent direct messages" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

tg-mcp-guarded

by matskevich

Overview Schema Related Servers Score Discussions

Python

Local

tg-mcp (tg-mcp-guarded)

MCP server + Python library for Telegram API with built-in rate limiting, anti-spam protection, and session management.

Dual-plane Telegram MCP: read-only analytics + guarded write actions with anti-spam and block-risk controls.

What is this?

tg-mcp provides:

Two MCP servers — Read and Actions profiles with different risk levels
Rate limiting — Token bucket (4 RPS), daily quotas (20 DM/day, 20 joins/day)
Multi-process protection — optional shared RPS limiter across projects/processes
Anti-spam — FLOOD_WAIT retry with exponential backoff
Circuit breaker — auto cooldown after long FLOOD_WAIT events
Session security — chmod 700/600 hardening for session files
Data exporters — participants, messages, groups, dialogs

Related MCP server: mcp-telegram

Positioning

tg-mcp-guarded emphasizes what makes this project different from generic Telegram MCP integrations:

Risk split by design — separate tgmcp-read and tgmcp-actions servers
Guarded write path — write operations only via Action MCP policy gates
Block-risk awareness — anti-flood, anti-spam, retry/backoff, and circuit-breaker defaults

Quick Start

# Install dependencies
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

# Configure
cp .env.sample .env
# Edit .env with your TG_API_ID, TG_API_HASH

# Run tests
PYTHONPATH=tganalytics:. python3 -m pytest tests/ -q

Developer Setup Shortcut

For local development, you can bootstrap everything (env sync, dependencies, and required data directories) with one command:

make dev-setup

Before opening a PR, run the standard repository checks:

make dev-check

Session Bootstrap (Auth)

read profile remains write-safe, but initial Telegram login requires auth requests. Use dedicated auth bootstrap helpers:

# Interactive code login (enables auth-only requests internally)
PYTHONPATH=tganalytics:. python3 tganalytics/examples/create_telegram_session.py \
  --session-name my_read

# QR login fallback (more reliable when code is delayed)
PYTHONPATH=tganalytics:. python3 scripts/create_session_qr.py \
  --session-name my_read

Where to find login code:

Telegram app in-app message (most common, SentCodeTypeApp)
Archived chats folder
Another active device/session notifications

Secrets Without `.env` (Keychain / Secret Provider)

TG_API_ID and TG_API_HASH can be loaded from secrets providers:

TG_SECRET_PROVIDER=env (default): read plain env values
TG_SECRET_PROVIDER=keychain: load from macOS Keychain
TG_SECRET_PROVIDER=command: load from command outputs

macOS Keychain example

security add-generic-password -a TG_API_ID -s tg-mcp -w "12345678" -U
security add-generic-password -a TG_API_HASH -s tg-mcp -w "your_api_hash" -U

Set env:

TG_SECRET_PROVIDER=keychain
TG_KEYCHAIN_SERVICE=tg-mcp
TG_KEYCHAIN_ACCOUNT_API_ID=TG_API_ID
TG_KEYCHAIN_ACCOUNT_API_HASH=TG_API_HASH

Generic command provider example

TG_SECRET_PROVIDER=command
TG_SECRET_CMD_API_ID="pass tg/api_id"
TG_SECRET_CMD_API_HASH="pass tg/api_hash"

Agent Onboarding

Start here if this repository will be used by other AI agents/operators:

Agent Playbook - execution flows, error handling, batch workflow
Action Policy Toggles - what can be toggled and safe change procedure
Anti-spam and Security Model - deeper technical details

Installation Profiles

Use one repository, choose profile by risk level:

read profile: installs only tgmcp-read (recommended default for new users)
full profile: installs tgmcp-read + tgmcp-actions

Generate config:

# prereq check
bash scripts/check_tg_mcp.sh /absolute/path/to/tg-mcp

# read-only config (safe default)
python3 scripts/render_mcp_config.py \
  --repo /absolute/path/to/tg-mcp \
  --profile read \
  --read-session-name my_account_ro

# full config (read + actions)
python3 scripts/render_mcp_config.py \
  --repo /absolute/path/to/tg-mcp \
  --profile full \
  --read-session-name my_account_ro \
  --actions-session-name my_account

# preflight: fail fast on same-session misconfig
python3 scripts/check_session_paths.py \
  --read-session-path /absolute/path/to/tg-mcp/data/sessions/my_account_ro.session \
  --actions-session-path /absolute/path/to/tg-mcp/data/sessions/my_account.session

Global MCP Setup (All Projects in Codex)

For one global setup across all working directories, add servers via codex mcp add. Recommended default: separate session files for read and actions. Routine concurrent read+actions traffic on one Telethon sqlite session can trigger database is locked.

REPO="/absolute/path/to/tg-mcp"

codex mcp add tgmcp-read \
  --env PYTHONPATH="$REPO/tganalytics:$REPO" \
  --env TG_SESSIONS_DIR="$REPO/data/sessions" \
  --env TG_SESSION_PATH="$REPO/data/sessions/my_account_ro.session" \
  --env TG_READ_SESSION_PATH="$REPO/data/sessions/my_account_ro.session" \
  --env TG_ACTIONS_SESSION_PATH="$REPO/data/sessions/my_account.session" \
  --env TG_SESSION_PATH_CONFLICT_MODE=warn \
  --env TG_SESSION_CONFLICT_REGISTRY_FILE="$REPO/data/anti_spam/session_registry.json" \
  --env TG_EXPECTED_USERNAME="my_main_account" \
  --env TG_ALLOW_SESSION_SWITCH=0 \
  --env TG_BLOCK_DIRECT_TELETHON_WRITE=1 \
  --env TG_ALLOW_DIRECT_TELETHON_WRITE=0 \
  --env TG_ENFORCE_ACTION_PROCESS=1 \
  --env TG_DIRECT_TELETHON_WRITE_ALLOWED_CONTEXTS=actions_mcp \
  --env TG_WRITE_CONTEXT=read_mcp \
  --env TG_ACTION_PROCESS=0 \
  --env TG_SESSION_RUNTIME_MODE=copy \
  --env TG_RECEIVE_UPDATES=0 \
  --env TG_SESSION_LOCK_MODE=shared \
  --env TG_GLOBAL_RPS_MODE=shared \
  -- "$REPO/venv/bin/python3" "$REPO/tganalytics/mcp_server_read.py"

Optional actions server:

REPO="/absolute/path/to/tg-mcp"

codex mcp add tgmcp-actions \
  --env PYTHONPATH="$REPO/tganalytics:$REPO" \
  --env TG_SESSIONS_DIR="$REPO/data/sessions" \
  --env TG_SESSION_PATH="$REPO/data/sessions/my_account.session" \
  --env TG_READ_SESSION_PATH="$REPO/data/sessions/my_account_ro.session" \
  --env TG_ACTIONS_SESSION_PATH="$REPO/data/sessions/my_account.session" \
  --env TG_SESSION_PATH_CONFLICT_MODE=warn \
  --env TG_SESSION_CONFLICT_REGISTRY_FILE="$REPO/data/anti_spam/session_registry.json" \
  --env TG_EXPECTED_USERNAME="my_main_account" \
  --env TG_ALLOW_SESSION_SWITCH=0 \
  --env TG_ACTIONS_ENABLED=1 \
  --env TG_ACTIONS_REQUIRE_ALLOWLIST=1 \
  --env TG_ACTIONS_ALLOWED_GROUPS="-1001234567890" \
  --env TG_ACTIONS_REQUIRE_CONFIRMATION_TEXT=1 \
  --env TG_ACTIONS_REQUIRE_APPROVAL_CODE=1 \
  --env TG_ACTIONS_IDEMPOTENCY_ENABLED=1 \
  --env TG_BLOCK_DIRECT_TELETHON_WRITE=1 \
  --env TG_ALLOW_DIRECT_TELETHON_WRITE=0 \
  --env TG_ENFORCE_ACTION_PROCESS=1 \
  --env TG_DIRECT_TELETHON_WRITE_ALLOWED_CONTEXTS=actions_mcp \
  --env TG_WRITE_CONTEXT=actions_mcp \
  --env TG_ACTION_PROCESS=1 \
  --env TG_RECEIVE_UPDATES=0 \
  --env TG_SESSION_LOCK_MODE=shared \
  --env TG_GLOBAL_RPS_MODE=shared \
  -- "$REPO/venv/bin/python3" "$REPO/tganalytics/mcp_server_actions.py"

MCP Servers

Add to your project's .mcp.json:

{
  "mcpServers": {
    "tgmcp-read": {
      "command": "path/to/tg-mcp/venv/bin/python3",
      "args": ["path/to/tg-mcp/tganalytics/mcp_server_read.py"],
      "env": {
        "PYTHONPATH": "path/to/tg-mcp/tganalytics:path/to/tg-mcp",
        "TG_SESSIONS_DIR": "path/to/tg-mcp/data/sessions",
        "TG_SESSION_PATH": "path/to/tg-mcp/data/sessions/my_account_ro.session",
        "TG_READ_SESSION_PATH": "path/to/tg-mcp/data/sessions/my_account_ro.session",
        "TG_ACTIONS_SESSION_PATH": "path/to/tg-mcp/data/sessions/my_account.session",
        "TG_SESSION_PATH_CONFLICT_MODE": "warn",
        "TG_SESSION_CONFLICT_REGISTRY_FILE": "path/to/tg-mcp/data/anti_spam/session_registry.json",
        "TG_EXPECTED_USERNAME": "my_main_account",
        "TG_ALLOW_SESSION_SWITCH": "0",
        "TG_BLOCK_DIRECT_TELETHON_WRITE": "1",
        "TG_ALLOW_DIRECT_TELETHON_WRITE": "0",
        "TG_ENFORCE_ACTION_PROCESS": "1",
        "TG_DIRECT_TELETHON_WRITE_ALLOWED_CONTEXTS": "actions_mcp",
        "TG_WRITE_CONTEXT": "read_mcp",
        "TG_ACTION_PROCESS": "0",
        "TG_SESSION_RUNTIME_MODE": "copy",
        "TG_RECEIVE_UPDATES": "0",
        "TG_SESSION_LOCK_MODE": "shared",
        "TG_GLOBAL_RPS_MODE": "shared"
      }
    },
    "tgmcp-actions": {
      "command": "path/to/tg-mcp/venv/bin/python3",
      "args": ["path/to/tg-mcp/tganalytics/mcp_server_actions.py"],
      "env": {
        "PYTHONPATH": "path/to/tg-mcp/tganalytics:path/to/tg-mcp",
        "TG_SESSIONS_DIR": "path/to/tg-mcp/data/sessions",
        "TG_SESSION_PATH": "path/to/tg-mcp/data/sessions/my_account.session",
        "TG_READ_SESSION_PATH": "path/to/tg-mcp/data/sessions/my_account_ro.session",
        "TG_ACTIONS_SESSION_PATH": "path/to/tg-mcp/data/sessions/my_account.session",
        "TG_SESSION_PATH_CONFLICT_MODE": "warn",
        "TG_SESSION_CONFLICT_REGISTRY_FILE": "path/to/tg-mcp/data/anti_spam/session_registry.json",
        "TG_EXPECTED_USERNAME": "my_main_account",
        "TG_ALLOW_SESSION_SWITCH": "0",
        "TG_ACTIONS_ENABLED": "1",
        "TG_ACTIONS_REQUIRE_ALLOWLIST": "1",
        "TG_ACTIONS_ALLOWED_GROUPS": "my_safe_group,-1001234567890",
        "TG_ACTIONS_MAX_MESSAGE_LEN": "2000",
        "TG_ACTIONS_MAX_FILE_MB": "20",
        "TG_ACTIONS_REQUIRE_CONFIRMATION_TEXT": "1",
        "TG_ACTIONS_CONFIRMATION_PHRASE": "",
        "TG_ACTIONS_MIN_CONFIRM_TEXT_LEN": "6",
        "TG_ACTIONS_REQUIRE_APPROVAL_CODE": "1",
        "TG_ACTIONS_APPROVAL_TTL_SEC": "1800",
        "TG_ACTIONS_APPROVAL_MIN_AGE_SEC": "30",
        "TG_ACTIONS_APPROVAL_FILE": "data/anti_spam/action_approvals.json",
        "TG_ACTIONS_IDEMPOTENCY_ENABLED": "1",
        "TG_ACTIONS_IDEMPOTENCY_WINDOW_SEC": "86400",
        "TG_ACTIONS_BATCH_FILE": "data/anti_spam/action_batches.json",
        "TG_ACTIONS_BATCH_TTL_HOURS": "168",
        "TG_ACTIONS_BATCH_APPROVAL_LEASE_SEC": "86400",
        "TG_ACTIONS_BATCH_RUN_LEASE_SEC": "1800",
        "TG_ACTIONS_UNSAFE_OVERRIDE": "0",
        "TG_BLOCK_DIRECT_TELETHON_WRITE": "1",
        "TG_ALLOW_DIRECT_TELETHON_WRITE": "0",
        "TG_ENFORCE_ACTION_PROCESS": "1",
        "TG_DIRECT_TELETHON_WRITE_ALLOWED_CONTEXTS": "actions_mcp",
        "TG_WRITE_CONTEXT": "actions_mcp",
        "TG_ACTION_PROCESS": "1",
        "TG_RECEIVE_UPDATES": "0",
        "TG_SESSION_LOCK_MODE": "shared",
        "TG_GLOBAL_RPS_MODE": "shared",
        "TG_FLOOD_CIRCUIT_THRESHOLD_SEC": "300",
        "TG_FLOOD_CIRCUIT_COOLDOWN_SEC": "900",
        "MAX_GROUP_MSGS_PER_DAY": "30"
      }
    }
  }
}

mcp_server.py is kept as backward-compatible alias to mcp_server_read.py.

Read Tools

Tool	Description
`tg_list_sessions`	List available Telegram sessions
`tg_use_session`	Switch active session
`tg_get_group_info`	Get group/channel/direct dialog info
`tg_get_participants`	Export group members
`tg_search_participants`	Search members by query
`tg_get_messages`	Export messages from a dialog target
`tg_get_messages_since`	Export messages newest-to-oldest until a cutoff date
`tg_get_message_count`	Get dialog message count
`tg_get_group_creation_date`	Get dialog first-message date
`tg_get_my_dialogs`	List account dialogs
`tg_resolve_username`	Resolve username to entity
`tg_get_user_by_id`	Get user by numeric ID
`tg_download_media`	Download media from message
`tg_get_stats`	Anti-spam system stats
`tg_auth_status`	Check current session authorization status

Actions Tools

Tool	Description
`tg_list_sessions`	List available Telegram sessions
`tg_use_session`	Switch active session (if enabled)
`tg_get_group_info`	Validate target group
`tg_get_my_dialogs`	Browse possible targets
`tg_resolve_username`	Resolve target username
`tg_send_message`	Send message with anti-spam + policy gates (`confirm=true` + exact `confirmation_text` + one-time `approval_code`)
`tg_send_file`	Send local file with anti-spam + policy gates (`confirm=true` + exact `confirmation_text` + one-time `approval_code`)
`tg_delete_messages`	Delete specific messages in a dialog/group (`dry_run` by default; same confirm + approval gates on execution)
`tg_clear_history`	Clear dialog history with `DeleteHistoryRequest` (`dry_run` by default; same confirm + approval gates on execution)
`tg_leave_dialog`	Leave an allowlisted channel/group (`dry_run` by default; same confirm + approval gates on execution)
`tg_edit_message`	Edit a message in a dialog/group (`dry_run` by default; same confirm + approval gates on execution)
`tg_forward_messages`	Forward messages between allowlisted dialogs (`dry_run` by default; same confirm + approval gates on execution)
`tg_add_member_to_group`	Add user to group/channel (`dry_run` by default; same confirm + approval gates on execution)
`tg_remove_member_from_group`	Remove user from group/channel (`dry_run` by default; same confirm + approval gates on execution)
`tg_migrate_member`	Add new user + remove old user in one safe flow (same confirm + approval gates on execution)
`tg_create_add_member_batch`	Build one add-member batch for many groups (single approval for whole task)
`tg_create_add_member_batch_from_report`	Build batch from failed groups in JSON report
`tg_create_delete_messages_batch_from_manifest`	Build delete batch from a reviewed privacy scrubber manifest
`tg_create_leave_dialog_batch_from_candidates`	Build leave batch from reviewed channel candidates
`tg_approve_batch`	One-time approve a batch
`tg_get_batch_status`	Check batch progress and pending groups
`tg_run_add_member_batch`	Run approved batch in chunks (no per-group approvals)
`tg_run_delete_messages_batch`	Run approved delete batch in chunks
`tg_run_leave_dialog_batch`	Run approved leave-dialog batch in chunks
`tg_get_actions_policy`	Show active action restrictions
`tg_get_stats`	Anti-spam system stats
`tg_auth_status`	Check current session authorization status

Session Concurrency

Default mode is TG_SESSION_LOCK_MODE=shared: multiple MCP servers/projects can use one .session.
tgmcp-read now defaults to TG_SESSION_RUNTIME_MODE=copy: each MCP process reads from its own runtime shadow of the configured session file, which avoids sqlite lock collisions across multiple Codex clients.
Optional strict mode: TG_SESSION_LOCK_MODE=exclusive blocks concurrent use of the same session.
Shared session is still allowed, but NOT recommended for routine concurrent tgmcp-read + tgmcp-actions.
Recommended default:
tgmcp-read -> dedicated *_ro.session
tgmcp-actions -> dedicated write session (for example account.session)
If both profiles point to one sqlite session file, Telethon can fail with database is locked.
Set TG_READ_SESSION_PATH + TG_ACTIONS_SESSION_PATH in both server envs so runtime can warn/fail on same-session misconfig.
TG_SESSION_PATH_CONFLICT_MODE=warn prints startup/runtime warning; set fail to block server start on same-session conflict.
Run python3 scripts/check_session_paths.py --config /path/to/.mcp.json before enabling both servers.
If a Codex thread did not expose native mcp__tgmcp_actions__* tools, use python3 scripts/tg_action_bridge.py ... as a shell fallback. The bridge still talks to mcp_server_actions.py over MCP/JSON-RPC, defaults to TG_SESSION_RUNTIME_MODE=copy, and preserves the same allowlist/approval/confirm policy.
TG_EXPECTED_USERNAME enables fail-fast on session/account mismatch (@expected vs actual account in session).
TG_RECEIVE_UPDATES=0 (default) disables Telethon updates loop to reduce sqlite session lock contention.
TG_GLOBAL_RPS_MODE=shared applies one shared RPS budget across all processes using the same data/anti_spam.
TG_FLOOD_CIRCUIT_THRESHOLD_SEC + TG_FLOOD_CIRCUIT_COOLDOWN_SEC pause all calls after critical FLOOD_WAIT.
Non-dry-run write actions require confirm=true and exact confirmation_text (TG_ACTIONS_CONFIRMATION_PHRASE).
Non-dry-run write actions also require one-time approval_code from the matching dry_run preview (TG_ACTIONS_REQUIRE_APPROVAL_CODE=1).
approval_code has minimum age (TG_ACTIONS_APPROVAL_MIN_AGE_SEC, default 30s): immediate execute right after dry_run is blocked.
Action MCP blocks duplicate sends/actions by payload hash for 24h (TG_ACTIONS_IDEMPOTENCY_*), unless force_resend=true.
Action state files (approval/idempotency/batch) now use file locks + atomic write, so parallel ActionMCP processes do not corrupt JSON state.
Batch execution uses a per-batch run lease lock (TG_ACTIONS_BATCH_RUN_LEASE_SEC) to avoid duplicate processing of the same batch by two workers.
For long tasks, batch mode supports scoped approval: tg_create_add_member_batch -> tg_approve_batch -> repeat tg_run_add_member_batch until complete.
Batch run permission is time-limited (TG_ACTIONS_BATCH_APPROVAL_LEASE_SEC, default 24h). After lease expiry, re-approve the same batch.
ActionMCP is fail-closed by default: weakening core safe flags auto-disables actions unless TG_ACTIONS_UNSAFE_OVERRIDE=1.
If allowlist is required, ActionMCP also fails closed when TG_ACTIONS_ALLOWED_GROUPS is empty.
Direct TelegramClient.send_* writes and raw MTProto write requests (client(Request)) are blocked by default.
Use tgmcp-actions tools for any write operation.
In strict mode (TG_ENFORCE_ACTION_PROCESS=1), write is allowed only when process entrypoint is mcp_server_actions.py.
For hard session isolation, run MCP under a dedicated OS user and keep data/sessions owned by that user only.

Fallback bridge examples:

# list tools from ~/.codex/config.toml server tgmcp_actions
python3 scripts/tg_action_bridge.py tools

# raw call
python3 scripts/tg_action_bridge.py call tg_get_actions_policy --args-json '{}'

# canonical write flow: dry_run -> approval_code -> confirm
python3 scripts/tg_action_bridge.py write-call tg_send_message \
  --args-json '{"group":"@mybot","message_text":"hello"}'

Structure

tganalytics/
├── tganalytics/        # Core package
│   ├── infra/          # Clients, rate limiting, metrics
│   ├── domain/         # GroupManager, participants
│   └── config/         # Configuration
├── mcp_server.py       # Backward-compatible read alias
├── mcp_server_read.py  # Read-focused MCP server
├── mcp_server_actions.py # Actions-focused MCP server
├── mcp_server_common.py # Shared state/session helpers
├── mcp_actions_policy.py # Policy helpers (allowlist/hash/confirmation/safe defaults)
├── mcp_actions_state.py  # Locked JSON state helpers (approval/idempotency/batch)
├── mcp_actions_batch.py  # Batch record + summary helpers
└── examples/           # Usage examples

Architecture

All Telegram API calls go through a 5-layer protection chain:

_safe_api_call → safe_call → TokenBucket → Telegram API
                    ↓            ↓              ↓
              DM/join quotas   4 RPS    FLOOD_WAIT retry + backoff

See docs/ANTISPAM_SECURITY.md for details.

License

MIT. See LICENSE.

Governance

This is an open-source project with maintainer-led merge policy:

external contributors are welcome via issues and pull requests
commits to main are performed by maintainer only

See CONTRIBUTING.md.

This server cannot be installed

license - permissive license

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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