Telegram MCP Bridge
Provides a bridge between Telegram and Claude Code, allowing users to send messages to a Telegram bot and receive AI replies, with support for per-chat context, history persistence, and optional allowlist.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Telegram MCP Bridgesummarize my Telegram chat history with @bob"
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.
Telegram MCP Bridge 🤖
A self-hosted bridge that connects a Telegram bot to Claude Code over the Model Context Protocol (MCP), with an instant auto-reply layer so the bot answers users immediately — even when the Claude app is closed.
Features ✨
Instant auto-replies — any message to the bot gets an AI reply in ~2 seconds (OpenAI-compatible LLM)
Claude integration — messages containing a keyword (default:
claude) are routed to Claude Code for full-powered answersEmoji reactions — automatically reacts to every incoming message 👍❤️🔥
Photo support + vision — when someone sends a photo, the bot reacts, analyzes the image content with a vision model, and replies with a description 📷👁️
User feedback buttons — every bot reply has 👍 / 👎 / 🚩 Report buttons; reports are sent to the admin 👍👎🚩
Per-chat context — each user only sees their own conversation history
History persistence — conversations survive restarts (saved to
.history.json)Allowlist support — optional: restrict usage to specific Telegram user IDs
SSE MCP server — Claude connects over
http://127.0.0.1:8765/sseStartup launcher — runs at login, always available
Cloudflare Worker fallback (optional) — always-on layer that answers via Gemini when your PC is off (see
telegram-worker/) ☁️
Related MCP server: tsgram-mcp
Architecture 🏗️
Telegram bot ←→ bridge (node) ←→ LLM (auto-reply, instant)
│
└── MCP over SSE ←→ Claude Code (smart mode)
(optional) Telegram webhook → Cloudflare Worker → local bridge (if online) or Gemini fallbackSetup 🚀
Prerequisites
Node.js 18+
A Telegram bot token (from @BotFather)
An OpenAI-compatible LLM endpoint + API key
Install
npm install
cp config.env.example config.env
# edit config.env with your valuesRun (manual)
node server.jsRun (auto-start at login, Windows)
Create a .bat in the Startup folder (shell:startup) that sets the env vars from config.env and runs node server.js.
Connect Claude Code
Add to ~/.claude.json:
{
"mcpServers": {
"telegram": {
"type": "sse",
"url": "http://127.0.0.1:8765/sse"
}
}
}Configuration ⚙️
See config.env.example for all options: bot token, allowlist, SSE port, auto-reply model, fallback model, Claude keyword, vision model, admin ID.
For the optional Cloudflare Worker layer, see telegram-worker/README.md.
Security 🔒
Never commit
config.env— it contains your bot token and API keysAllowlist (
ALLOWED_USER_IDS) restricts who can use the bot — recommended for private botsThe auto-reply uses your LLM API key — a public bot means anyone can consume your quota
License 📄
MIT
This server cannot be deployed
Maintenance
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Share one project context across ChatGPT, Claude, Telegram and any MCP client.
Shared memory and mail for your AI agents. Verified with Claude Code; other MCP clients in testing.
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