tgcloud — Telegram serverless bots
LocalAbout tgcloud — Telegram serverless bots
tgcloud-mcp wraps the tgcloud CLI so AI assistants can manage Telegram serverless bot projects. Its tools cover project setup, deployment, data operations, and webhooks, with confirmation checks for destructive actions.
Key features
- 01Create and initialize bot projects
- 02Link bots and add modules
- 03Inspect changes and deploy projects
- 04Run handlers and migrations
- 05Check and synchronize webhooks
- 06Confirmation for destructive operations
Use cases
- 01Scaffold a new serverless bot
- 02Deploy bot changes to the cloud
- 03Test a handler without deployment
- 04Check or repoint a bot webhook
MCP support
The MCP server exposes 16 tools that invoke the tgcloud CLI, plus platform reference resources under tgcloud://docs/*. It connects to MCP clients such as Claude Code, Cursor, and VS Code.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
npx -y tgcloud-mcpTGCLOUD_CLICommand that launches the tgcloud CLI (default npx; may be a proxy wrapper)TGCLOUD_CLI_ARGSArguments placed before the subcommand (default 'tgcloud')TGCLOUD_TIMEOUT_MSTimeout of one CLI command, in millisecondsTGCLOUD_TOKENSecretCLI access token from @BotFather (form app<id>:<secret>), used instead of tgcloud loginLocal servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
14Saved tool list · updated 2w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| name | string | Yes | Name of the new project directory, e.g. my-bot |
| parent_dir | string | Yes | Absolute path to the directory where the project will be created |
Details
From the project READMEtgcloud-mcp — MCP server for Telegram serverless bots
Русский · 中文 · العربية · Deutsch · Français
Unofficial project. This is a community tool (author @sdamarketing), not affiliated with Telegram. The platform's official tool is the
@tgcloud/cliCLI. tgcloud-mcp wraps that CLI in MCP. Threat model: SECURITY.md.
Teaches an AI assistant to manage Telegram serverless bots
(core.telegram.org/bots/serverless):
you say "create a bot", "deploy", "show the webhook" — the assistant runs
tgcloud and you do not have to drive the terminal.
Works with any MCP client: opencode, Claude Code, Claude Desktop, Cursor, VS Code (Copilot), Windsurf, Zed.
The same server and skill are also one Agent Plugin
(agent-plugin/) for Codex, Cursor, Copilot, Kiro, and VS Code.
Documentation
The docs site (docs7) and the Context7 index: context7.com/sdamarketing/tgcloud_mcp.
| Section | Contents |
|---|---|
| Getting started | Overview, quickstart, installation |
| Usage | Tools, resources, security |
| Help | Troubleshooting, cookbook |
| Reference | SETUP, evening walkthrough |
Other languages: ru, zh, ar, de, fr.
Commands: tgcloud-mcp setup, tgcloud-mcp update, tgcloud-mcp links, tgcloud-mcp --help.
What it does
16 tools over the tgcloud CLI:
| Area | Tools | What they do |
|---|---|---|
| Lifecycle | create_project, init_project, login_bot, add_module, upgrade | Scaffold, link a bot with the @BotFather token, new handlers, endpoints, and lib modules, move a pre-0.2.0 layout into tgcloud/ |
| Sync | status, diff, push, deploy, pull, fetch, reset | See changes, atomic deploy, build-then-push for a Mini App, sync with the cloud |
| Data | run_handler, migrate | Run a handler or endpoint without deploying; migrations with --dry-run, --safe, --yes, --local |
| Webhook | webhook_status, webhook_sync | "The bot is silent", re-point the webhook |
Plus MCP resources tgcloud://docs/* — platform reference in English
(layout, import rules, sdk/db, sdk/api, sdk/fetch, CLI, limits).
Tool descriptions and the skill are English so the model follows one text. The assistant is told to answer you in your language. Human docs are English, Russian, Chinese, Arabic, German, and French.
Security
- Destructive calls need confirmation.
reset,push --force, applyingupgrade, applying migrations, andwebhook sync --drop-pendingrefuse to run withoutconfirm: true. The assistant shows the change and asks first. - Tokens do not leak. The bot token goes to the CLI on stdin and is masked in every tool result.
Install
Prefer the npm package (published with OIDC trusted publishing and Sigstore
provenance). curl | bash is convenient and runs a remote script: read it
first (drop the | bash), or use npm.
Node.js 20+ (the platform CLI needs 18+).
npm:
npm install -g tgcloud-mcp
tgcloud-mcp setup
The wizard writes the MCP config. Say yes to the Agent Plugin and it copies
agent-plugin/ to ~/.tgcloud-mcp/agent-plugin, into Cursor's local plugin
folder, and into VS Code chat.pluginLocations.
One command (macOS / Linux / WSL):
curl -fsSL https://raw.githubusercontent.com/sdamarketing/tgcloud_mcp/main/install.sh | bash
Docker:
docker run -i --rm ghcr.io/sdamarketing/tgcloud-mcp
From source:
git clone https://github.com/sdamarketing/tgcloud_mcp.git
cd tgcloud_mcp
npm install && npm test
Details: docs/SETUP.md.
Connect an agent
{
"mcpServers": {
"tgcloud": {
"command": "tgcloud-mcp"
}
}
}
| Variable | Default | Purpose |
|---|---|---|
TGCLOUD_CLI | npx | How to launch the CLI (a global tgcloud is fine) |
TGCLOUD_CLI_ARGS | tgcloud | Arguments before the subcommand |
TGCLOUD_TIMEOUT_MS | 120000 | Timeout of one CLI command |
Example
You: create an echo bot in ~/bots/echo Agent:
create_project→login_bot(asks @BotFather for the token) → editshandlers/message.js→push→webhook_sync. The bot is live. You: test it Agent:run_handlerwith{ chat: { id: 1 }, text: "hi" }and shows the output and logs.
After front-end edits the agent calls deploy (build, then push). A plain
push uploads the build folder as it is and does not run the bundler.
Cookbook
A serverless bot with a Mini App in one evening —
the long walkthrough is Russian; the commands are the platform's. Short
overviews: docs/cookbook.en.mdx and the ru, zh, ar, de, fr siblings.
Skill
skills/tgcloud is the procedure the agent follows: layout, imports, recipes,
guardrails. The same file is agent-plugin/skills/tgcloud/SKILL.md.
npm run docs:check fails if the copies diverge.
npx skills add sdamarketing/tgcloud_mcp
Repository
src/ # server, runner, tools
resources/docs/ # platform reference → MCP resources (English)
skills/tgcloud/ # agent skill
agent-plugin/ # Agent Plugins 1.0 package (plugin.json, mcp.json, skill)
docs/ # human docs, six languages
License
MIT
Comments
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From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.