Back to features

Telegram CRM

Telegram MCP Server — Connect AI Agents to Telegram

The first MCP server built for Telegram. Connect Claude, ChatGPT, Cursor, or any MCP-compatible AI agent to your Telegram chats, contacts, tickets, and custom fields. Let AI read messages, triage your inbox, create tickets, and fire broadcasts — all through the Model Context Protocol.

AI

What is a Telegram MCP server?

MCP (Model Context Protocol) is an open standard that lets AI agents discover and call external tools in a structured, permission-controlled way. Entergram's Telegram MCP server exposes your entire Telegram CRM workspace — chats, contacts, custom fields, tickets, broadcasts — as a set of tools that any MCP-compatible AI agent can use. When you connect Claude, ChatGPT, or Cursor to your Telegram workspace through MCP, the agent automatically discovers what it can do (list chats, read messages, create tickets, update custom fields, fire broadcasts) and calls those tools as needed. You don't write integration code or craft special prompts — the MCP protocol handles tool discovery and invocation. This is MCP for Telegram: your AI works inside your real Telegram data, not a summary you pasted into a chat window.

Read the MCP setup guide
  • —

    AI agents that read and act on Telegram chats

    Connect Claude or ChatGPT to your Telegram workspace through the MCP server. The agent reads recent messages, looks up the contact's stage and custom fields, leaves internal comments, opens tickets, and drafts replies — all gated by the scopes you grant. This is MCP for Telegram in practice: your AI assistant works inside your real Telegram data, not a copy-pasted summary.

  • —

    Overnight inbox triage via Telegram MCP

    Set up an AI agent that connects to your Telegram MCP server every morning. It reads unread chats, checks each contact's stage and ARR in custom fields, tags urgent cases, opens tickets for anything that needs human attention, and writes a summary. Your team starts the day with a sorted inbox instead of a wall of unread messages.

  • —

    Sales pipeline scoring through MCP

    An AI agent connected to the Telegram MCP server checks each contact's custom fields and recent message history, updates the lead stage, and flags high-intent prospects. The agent can also fire a personalized broadcast to warm leads or create follow-up tickets — all autonomously through MCP for Telegram.

  • —

    Compliance monitoring in Telegram groups

    Point an AI agent at your Telegram workspace via MCP. It scans group messages for policy violations, flags problematic content, creates tickets with the relevant chat context, and notifies the compliance team. The Telegram MCP server gives the agent read access to exactly the chats you specify — nothing more.

What is a Telegram MCP server?

Entergram ships the first native MCP server for Telegram — the Model Context Protocol that lets AI agents interact directly with your Telegram CRM workspace. Instead of copy-pasting chat logs into a prompt, your AI agent connects to Entergram's Telegram MCP server and gets live, scoped access to chats, contacts, custom fields, tickets, and broadcasts. Claude Desktop, Claude Code, ChatGPT, Cursor, Windsurf, and any custom agent built on the Anthropic or OpenAI SDK can connect in under five minutes. One scope model governs everything: the same least-privilege permissions you configure once in the Developers tab apply to every MCP connection. MCP for Telegram turns your AI assistant from a text-in-text-out tool into an agent that actually operates inside your Telegram workflow — reading real conversations, updating real CRM fields, creating real tickets. No middleware, no glue code, no copy-paste.

Start free trial

Frequently asked questions

Frequently asked questions

What is a Telegram MCP server?
A Telegram MCP server is an endpoint that exposes Telegram CRM data — chats, contacts, tickets, custom fields, broadcasts — through the Model Context Protocol (MCP). MCP is an open standard created by Anthropic that lets AI agents discover and call external tools in a structured, permission-controlled way. Entergram's Telegram MCP server means any MCP-compatible AI agent (Claude, ChatGPT, Cursor, custom agents) can read your Telegram messages, look up contact details, create tickets, fire broadcasts, and more — all without copy-pasting or writing custom integration code.
What is MCP for Telegram?
MCP for Telegram refers to using the Model Context Protocol to connect AI agents to Telegram data. Entergram is the first Telegram CRM that implements an MCP server, making your Telegram chats, contacts, custom fields, tickets, and broadcasts available as structured tools that any MCP-compatible AI agent can discover and use. Instead of manually feeding Telegram data to AI, MCP for Telegram lets the AI agent access your workspace directly with scoped, audited permissions.
Which AI agents work with the Telegram MCP server?
Any agent that supports MCP: Claude Desktop, Claude Code (the CLI), Claude.ai, ChatGPT with MCP plugin support, Cursor IDE, Windsurf, Cline, and any custom agent built with the Anthropic Agent SDK, OpenAI Agents SDK, or LangChain. If your tool can connect to an MCP server, it can connect to your Telegram CRM through Entergram.
How do I connect Claude Desktop to Telegram via MCP?
Add Entergram as an MCP connector in Claude Desktop's settings, authorize with your Entergram workspace, and Claude can immediately access your Telegram chats, contacts, and tickets. You can ask Claude to summarize recent conversations, triage unread messages, create tickets from chat threads, or draft replies — all pulling live data from your Telegram CRM through the MCP server.
How do I connect Cursor or Windsurf to Telegram via MCP?
In your IDE's MCP settings, add Entergram's MCP server URL and authenticate with your workspace API key. Once connected, you can ask your coding assistant to pull Telegram chat context, look up customer details, or create tickets — all from within your development environment. The Telegram MCP server exposes the same tools regardless of which client connects.
What can an AI agent do through the Telegram MCP server?
With the right scopes, an agent can: list and search Telegram chats, read message history, look up a contact's custom fields (stage, ARR, tags), leave internal comments on a chat, create or update tickets with priority and assignee, change ticket status, fire a broadcast from a saved template, add or remove tags, and update custom field values. The scopes you grant decide exactly what the agent is allowed to do — least privilege is the default.
What are real-world examples of MCP for Telegram?
A trading team connects Claude to their Telegram workspace via MCP — Claude reads client chats, checks custom fields for portfolio size and risk tier, and drafts personalized responses. A SaaS support team has an AI agent triage the Telegram inbox overnight through the MCP server — it tags urgent cases, opens tickets, and writes a morning summary. A growth team uses ChatGPT with MCP to analyze Telegram group engagement and auto-tag high-intent leads.
Is the Telegram MCP server secure?
Yes. Every MCP request is authenticated with a workspace-scoped API key. Keys support configurable TTL (default 90 days), optional IP allowlists (CIDR ranges), and immediate revocation. Every call is audit-logged with the key prefix, source IP, and user agent. A key from workspace A cannot access workspace B — scoping is enforced server-side on every query. Keys are stored as one-way hashes; the raw key is only shown once at creation.
How do I get started with MCP for Telegram?
1) Sign up for Entergram Pro and connect your Telegram accounts. 2) Go to the Developers tab and create an API key with the scopes you need. 3) In your MCP client (Claude Desktop, Cursor, etc.), add Entergram as a connector using your API key. 4) Your AI agent can now discover and use Telegram CRM tools through the MCP protocol. The whole setup takes under five minutes.
What scopes are available for the Telegram MCP server?
workspace.read · members.read · accounts.read · contacts.read · chats.read · chats.write · custom_fields.read · custom_fields.write. These scopes apply identically whether you're using the MCP server, REST API, or Make.com integration. Pick the minimum your use case needs — least privilege limits blast radius if a key leaks.
How is the Telegram MCP server different from the Telegram API?
Entergram's Telegram MCP server and REST API access the same workspace data with the same scopes. The difference is who calls them. The REST API is for your code — cron jobs, webhooks, internal tools, sync pipelines. The Telegram MCP server is for AI agents — Claude, ChatGPT, or any LLM that speaks MCP. The agent discovers available tools automatically; you don't write API client code. Use MCP when AI is the consumer, the API when code is.
Start free trial