Secure Telegram

io.github.antonorlovPublished by GitHub account antonorlovv0.3.3Updated Nov 4, 2026

Telegram MCP server: each AI client gets its own key, scoped to chosen chats. Read-only by default.

Overview

AI-generated overview

Local Telegram MCP server that gives each AI client its own scoped, read-only-by-default endpoint key instead of your full account session.

What you can do
  • Read chats: list dialogs, topics, participants and chat info, fetch pinned messages, get and search messages, inspect media info
  • Download media within a strict size cap to a server-chosen destination
  • Send and edit messages, and prepare then send local media through an expiring handle
  • Other writes when granted: save drafts, delete messages, mark chats read, add reactions, forward messages
  • Every call re-checks the endpoint's permission verbs against a sealed policy and fails closed when a verb is not granted
When to use it
Use it when you want an assistant to read or act on Telegram chats but do not want to hand a client your full account session. It suits setups where different agents need different scopes, for example a read-only work agent limited to one folder and a personal agent with write access.
Requirements
Node.js 20.10 or newer, plus Telegram api_id and api_hash from my.telegram.org/apps. Run the setup command once in a terminal to log in (QR code or phone number and code, plus two-step password if enabled) and create an endpoint; it prints the endpoint key once. The client then runs the package over stdio with the TELEGRAM_MCP_ENDPOINT_TOKEN environment variable set. A PIN posture requires an interactive unlock after each reboot.
Before you install
The endpoint token is a credential: it is printed only once and authorizes the endpoint, so keep it out of shared configs. Combining several endpoint entries in one client grants that client the union of their scopes. Write verbs can send, edit, delete, forward and react in real chats, and forwarding needs rights on both source and destination. A forgotten PIN is unrecoverable. Pacing lowers but cannot prevent Telegram flood limits or bans. Sanitization cannot stop semantic prompt injection…

Installation

In SourceWeft

  1. Open Secure Telegram in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

[secure-telegram-mcp — all your Telegram accounts, one scoped endpoint per AI client]

Connect Claude, Cursor, or any MCP client to Telegram — without handing any of them your whole account.

[MCP Server] [Node] [License: MIT] [npm] [CI]

[Terminal demo: QR login, creating a read-only Work endpoint, and the resulting single-endpoint MCP client config.]

The demo runs against synthetic data — no real Telegram connection, no usable credential.

❌ The usual Telegram MCP setup

  • The AI client holds your full account session — every chat, every contact, every write.
  • Access is all-or-nothing: your work agent can read your family group.
  • The session credential sits in plaintext in a config file or .env.

✅ With secure-telegram-mcp

  • Each AI client gets an endpoint: its own API key, scoped to the chats and folders you pick.
  • Read/write verbs are re-checked on every call and fail closed — the tool menu is discovery, not authority.
  • The Telegram session is encrypted at rest (AES-256-GCM, scrypt-wrapped keys), machine-bound by default or PIN-protected.

For example:

AI clientEndpointAccountTelegram scopeAccess
Personal agentpersonalmainprivate chatsread + write
Work agentworkwork-accthe Work folderread-only

Every MCP connection authenticates with one endpoint key and receives a scope-bound Telegram adapter for that endpoint's account; without a key, a client can only list the tools. Endpoints can ride different logged-in accounts; endpoints on the same account share one background Telegram connection. Out-of-scope chats are not addressable at all.

Features

  • 🔑 Per-endpoint API keys — each AI client gets its own key and scope, pinned to one of your logged-in accounts (one or many); only salted key hashes are stored.
  • 📁 Folder-scoped access — bind an endpoint to Telegram folders, chats, or channels; write access is opt-in per endpoint.
  • 🔒 Encrypted session at rest — AES-256-GCM envelopes for sessions and policy; PIN, recovery-keyfile, and machine-bound unlock slots.
  • 🚦 Anti-ban pacing — per-account token buckets on messages, forwards, and search, plus a circuit breaker that backs the whole account off at the first sign of saturation. Pacing lowers the risk of flood limits; nothing can guarantee against a ban.
  • 👤 Human-in-the-loop writes — optional per-endpoint confirmation; requires a client that supports MCP elicitation. On clients that don't, a confirm-writes endpoint fails closed: writes are blocked, never silent.
  • ⛔ No raw MTProto surface — no invoke escape hatch, no model-accessible scope mutation; a CI architecture guard keeps it that way.

Quickstart

Prerequisites: Node.js ≥ 20.10 and Telegram api_id/api_hash from my.telegram.org/apps.

1. Run setup

bash
npx -y secure-telegram-mcp setup

Setup walks you through, in order:

  1. Telegram app credentials — the api_id / api_hash from the prerequisite link.
  2. Login method — QR code (scan from a phone that's already logged in) or phone number + code. If your account has two-step verification, setup also asks for that password.
  3. Session name — press Enter to accept the suggestion (your Telegram username, or main if you have none).
  4. PIN or no PIN — default is no PIN (encryption keyed to this machine, nothing to unlock). With a PIN you re-enter it after each reboot; a forgotten PIN is unrecoverable.
  5. Endpoint — name it, then pick chats/folders in the picker: r or Space grants read, w write, s saves, ? shows the full keymap.

At exit the endpoint's API key is printed once, inside a ready-to-paste client config — copy it before closing the terminal. Hit a snag? See Troubleshooting.

2. Add the endpoint to one MCP client

json
{  "mcpServers": {    "telegram": {      "command": "npx",      "args": ["-y", "secure-telegram-mcp", "connect"],      "env": {        "TELEGRAM_MCP_ENDPOINT_TOKEN": "tgmcp_..."      }    }  }}

The token alone selects and authorizes the endpoint — no api_id, api_hash, or PIN material ever goes into client config. Setup prints one block per endpoint; each goes only into its own client — combining entries in one client intentionally grants it the union of the scopes.

Claude Code
bash
claude mcp add telegram --env TELEGRAM_MCP_ENDPOINT_TOKEN=tgmcp_... -- npx -y secure-telegram-mcp connect
Claude Desktop

Add the JSON block above to claude_desktop_config.json (Settings → Developer → Edit Config).

Cursor

[Install in Cursor]

Run setup first, then click and replace the placeholder token — or add the JSON block above to ~/.cursor/mcp.json yourself.

VS Code

[Install in VS Code]

VS Code prompts for the endpoint token as a masked secret — it never lands in a settings file in plain sight of other extensions' recommendations.

Docker

See Usage and operations → Docker for the setup and stdio-connect containers.

3. Unlock (PIN posture only)

If you kept the default machine-bound protection, skip this — the service starts automatically when a client connects. With a PIN:

bash
npx -y secure-telegram-mcp start

Enter the PIN interactively; clients never need it. Multi-client examples, unattended unlock, environment variables, and manual policy editing live in Usage and operations.

Tools

18 tools, gated by 8 permission verbs that are checked at execution time.

CategoryToolsVerb
Readget_messages, search_messages, list_dialogs, list_topics, get_chat_info, get_media_info, get_pinned_messages, list_participantsread
Media downloaddownload_media (strict size cap, server-chosen destination)read_media
Send & editsend_message, edit_message, prepare_media, send_mediasend
Other writessave_draft, delete_message, mark_read, send_reaction, forward_messagedraft, delete, mark_read, react, forward

Forwarding is two-sided: read on the source chat and forward on the destination. Sending local media is a deliberate two-phase flow — prepare_media returns an opaque, expiring handle for a file inside the confined media root; send_media consumes it. The full catalogue and verb semantics are in Usage and operations.

Security model

  • One local service owns the encrypted Telegram session and the sealed policy; MCP shims never open a second Telegram session.
  • Every call re-verifies the endpoint token against the current sealed policy, so rotating a key revokes live connections.
  • There is no raw MTProto tool and no way for the model to widen its own scope.
  • Writes pass ACL → optional human confirmation → quota → audit, in that order, and fail closed at each gate.
  • Telegram prose is Unicode-sanitized (control/format characters stripped, length-capped) before it reaches the model; writes, denials, and media egress land in an append-only NDJSON audit log.
  • Known limits: the enforcement boundary is your local OS user; endpoint ACLs cannot shrink what the underlying full-account session could do if the process itself were compromised; sanitization cannot neutralize semantic prompt injection.

A read-only endpoint attempting send_message is stopped at the ACL gate and audited — one NDJSON line, no message content:

json
{"v":1,"timestampIso":"2026-07-17T09:41:22.310Z","endpointName":"work","verb":"send","outcome":"deny","targetChatId":"-1001234567890","reason":"VERB_NOT_GRANTED"}

The client sees only an ACL_DENIED error. An out-of-scope peer denies the same way, with PEER_OUT_OF_SCOPE.

Read the complete threat model — including non-objectives and residual risks — before pointing this at a Telegram account you care about. Component boundaries are in Architecture.

Documentation

  • Usage and operations — clients, endpoints, commands, environment variables, Docker, media, tool catalogue.
  • Security — threat model, guarantees, residual risks, hardened deployment.
  • Architecture — process ownership, trust boundaries, policy lifecycle.
  • Example configuration — schema-valid, deliberately unusable placeholders.

Development

bash
npm run ci     # typecheck + lint + architecture guard + knip + testsnpm run build

The architecture guard rejects forbidden MCP surfaces and unreviewed MTProto request constructors; ESLint enforces dependency boundaries and confines GramJS to the infrastructure layer. See CONTRIBUTING.md before opening a PR.

License

MIT


Unofficial project: not affiliated with, endorsed by, or sponsored by Telegram FZ-LLC. "Telegram" is a trademark of Telegram FZ-LLC. This software connects to the Telegram API; each user supplies their own API credentials.

Source: README.md at commit b6a696a

Tools

0
SourceWeft started this package once in an isolated sandbox, without credentials, to list its tools. That failed: the server did not start.

Version history

1
  1. v0.3.3LatestNov 4, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts