Telegram

The Telegram MCP server gives any AI agent — Claude, GPT, Gemini, or a custom LLM pipeline — direct, structured access to Telegram messaging, group management, and bot workflows without you having to write custom Bot API glue code. Instead of maintaining a one-off Telegram bot integration for every tool that needs it, you connect Telegram once through BusinessMCP and expose it as a standard MCP tool set that any authorized agent can call over a single hosted endpoint.

Common uses include customer support agents that read and reply to Telegram DMs, marketing bots that push announcements to broadcast channels, ops agents that monitor and moderate community groups, and internal automations that route alerts, order updates, or approval requests into a Telegram chat. Because the integration is model-agnostic, you're not locked into a single AI vendor: the same Telegram MCP server can serve a support workflow built on Claude today and a Gemini-powered escalation agent tomorrow, with no re-wiring of the underlying Telegram bot integration.

What makes this different from a raw Telegram Bot API key is where it sits. BusinessMCP runs this Telegram MCP server as part of a single managed MCP endpoint (/api/mcp, authenticated with a Bearer mcph_* key) alongside your other tools, databases, and ad platforms. Every message sent, group joined, or command handled flows into the same business-intelligence dashboard used for the rest of your stack, so you can see Telegram activity next to email, SMS, and CRM events instead of digging through a separate bot console. That unified view is especially useful when Telegram is one channel in a broader customer-communication strategy alongside Slack, Discord, or WhatsApp.

Under the hood, the server wraps the parts of the Telegram Bot API that agents actually need: sending and receiving messages, managing group membership and permissions, handling inline bot commands, and pulling chat history for context before an agent replies. It's built to be cookieless and GDPR-friendly, so there's no browser-session tracking involved — authentication and message delivery happen server-to-server through your bot token, proxied securely behind the BusinessMCP endpoint. This makes it a solid fit for teams that want AI agents to actually act on Telegram — sending confirmations, answering questions in a support group, or triggering a broadcast — rather than just reading and reporting on activity after the fact.

Because it's exposed through the same MCP interface as every other connector in the catalog, setup follows the same pattern regardless of your AI stack: connect your Telegram bot credentials once inside BusinessMCP, and any agent with access to your /api/mcp endpoint gains Telegram messaging, group, and bot-command capabilities immediately — no separate SDK, webhook server, or polling loop to maintain on your side.