Vexa
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Description from the maker (original English)
MCP server for Telegram serverless bots: lifecycle, deploys, migrations, webhooks via tgcloud CLI
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
TGCLOUD_CLI, TGCLOUD_CLI_ARGS, TGCLOUD_TIMEOUT_MS, TGCLOUD_TOKENValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"tgcloud": {
"command": "npx",
"args": [
"-y",
"tgcloud-mcp"
],
"env": {
"TGCLOUD_CLI": "your-value",
"TGCLOUD_CLI_ARGS": "your-value",
"TGCLOUD_TIMEOUT_MS": "your-value",
"TGCLOUD_TOKEN": "your-value"
}
}
}
}Run this in your terminal
claude mcp add tgcloud --env TGCLOUD_CLI=your-value --env TGCLOUD_CLI_ARGS=your-value --env TGCLOUD_TIMEOUT_MS=your-value --env TGCLOUD_TOKEN=your-value -- npx -y tgcloud-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"tgcloud": {
"command": "npx",
"args": [
"-y",
"tgcloud-mcp"
],
"env": {
"TGCLOUD_CLI": "your-value",
"TGCLOUD_CLI_ARGS": "your-value",
"TGCLOUD_TIMEOUT_MS": "your-value",
"TGCLOUD_TOKEN": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"tgcloud": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"tgcloud-mcp"
],
"env": {
"TGCLOUD_CLI": "your-value",
"TGCLOUD_CLI_ARGS": "your-value",
"TGCLOUD_TIMEOUT_MS": "your-value",
"TGCLOUD_TOKEN": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
TGCLOUD_CLI envTGCLOUD_CLI_ARGS envTGCLOUD_TIMEOUT_MS envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
The registry name was verified with the GitHub account sdamarketing, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: TGCLOUD_TOKEN
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.3.3) reached the registry 23 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.
In the same category: Vexa, emailmd, MCP WhatsApp Cloud
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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Render markdown into email-safe HTML, lint drafts for deliverability problems, and preview emails.
MCP server for WhatsApp Cloud API (Meta) — messages, media, and templates via Graph API
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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/cli
CLI. 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.
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.
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.
reset, push --force, applying upgrade, applying migrations, and webhook sync --drop-pending refuse to run without confirm: true. The assistant shows the change and asks first.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](docs/SETUP.md).
{
"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 |
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.
[A serverless bot with a Mini App in one evening](docs/cookbook-srl-bot.md) — 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.
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
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
MIT