Fast MCP Telegram Server

MCP Server

Telegram integration for AI assistants, fast and secure

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About

A production‑ready MCP server that bridges Telegram’s MTProto API to HTTP, enabling AI assistants to authenticate, search, and send messages across multiple accounts with advanced media handling, safety guardrails, and async performance.

Capabilities

Resources

Access data sources

Tools

Execute functions

Prompts

Pre-built templates

Sampling

AI model interactions

Tg Mcp Demo

Overview

Tg Mcp is a production‑ready Model Context Protocol server that bridges AI assistants with the full power of Telegram. By exposing a rich set of tools, search capabilities, and an HTTP‑MTProto bridge, it eliminates the need for custom bot code or third‑party libraries when an assistant needs to read, write, or manage messages across multiple chats. The server’s design focuses on security, performance, and developer ergonomics—providing a single, authenticated endpoint that can be consumed by any MCP‑compatible client.

What Problem Does It Solve?

Many AI assistants require real‑time interaction with messaging platforms, yet developers often struggle to expose these platforms securely while maintaining low latency. Tg Mcp solves this by offering a unified, bearer‑token authenticated interface that supports both development (stdio) and production (HTTP) modes. It handles session isolation, LRU cache management, and auto‑reconnect logic so developers can focus on building assistant logic rather than plumbing.

Core Value for AI Workflows

The server exposes a comprehensive toolkit that aligns with typical assistant use cases:

Search – Global and per‑chat message retrieval with multi‑query support, enabling assistants to pull context from conversations.
Messaging – Send, edit, reply, and format messages; attach files or media; even message phone numbers with auto‑contact handling.
Direct API Access – An HTTP‑MTProto bridge allows raw Telegram method calls, giving assistants the flexibility to perform advanced actions that are not covered by higher‑level tools.
Entity Discovery – Search for users, groups, or channels and enrich profiles with bio, member counts, and online status.

These capabilities let assistants act as full‑fledged Telegram clients while remaining decoupled from the platform’s SDKs.

Key Features Explained

Feature	What It Means for Developers
Multi‑User Authentication	Each user gets a unique bearer token, ensuring session isolation and fine‑grained access control.
Intelligent Search	Deduplication and date filtering reduce noise, making context retrieval efficient.
Secure File Handling	SSRF protection and size limits prevent abuse while still supporting rich media.
High Performance	Async I/O, connection pooling, and parallel queries keep response times low even under load.
AI‑Optimized API	Literal parameter constraints and LLM‑friendly design simplify prompt construction for assistants.

Real‑World Use Cases

Customer Support Bots – Pull recent conversation history, send follow‑up messages, and attach relevant files without exposing credentials.
Personal Productivity Assistants – Search across all chats for tasks, retrieve saved messages, and create reminders by sending messages to self.
Data Aggregation Pipelines – Use the HTTP‑MTProto bridge to fetch channel statistics or broadcast messages programmatically.
Multi‑Account Management – A single configuration can handle several Telegram accounts, enabling assistants to switch contexts seamlessly.

Integration Path

An MCP client simply loads the generated by Tg Mcp’s web setup. From there, it can call any of the exposed tools or invoke raw MTProto methods with a single HTTP request. The server’s dual transport model means developers can run it locally for testing (stdio) or deploy the Docker‑ready image in production, ensuring consistent behavior across environments.

Tg Mcp delivers a secure, high‑performance bridge between AI assistants and Telegram, empowering developers to build sophisticated conversational experiences without wrestling with the intricacies of the platform’s API.