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TSGram MCP

MCP Server

AI code assistance via Telegram chats

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Updated 17 days ago

About

TSGram MCP connects Claude Code sessions to Telegram, enabling local AI-powered code queries and file edits directly from a phone. It runs locally with Docker and Node, providing a quick 3‑minute setup for developers.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

TSGram in action - viewing package.json

TSGram MCP bridges the gap between local development environments and conversational AI by allowing Claude Code sessions to communicate directly with Telegram. It turns a standard code‑review or debugging session into a mobile, real‑time chat experience, eliminating the need for separate IDE plugins or web dashboards. By running entirely on your machine—Docker container, Node.js server, and the MCP itself—developers keep all code and credentials offline, preserving privacy while still enjoying the convenience of instant AI assistance on their phone.

The server exposes a set of lightweight MCP endpoints that let Claude request file listings, read or write source files, and run code snippets. When a user sends a message to the Telegram bot, TSGram forwards that content to Claude through the MCP interface. Claude can then issue file‑system commands or request code generation, and TSGram relays the results back to the chat. This round‑trip workflow means developers can ask “What does this function do?” or “Add a unit test for ” and receive actionable code changes without leaving Telegram.

Key capabilities include:

  • Local, secure operation – all services run in Docker on the developer’s machine, so no external data is transmitted.
  • One‑click bot creation – the web dashboard lets users register new Telegram bots and configure authorized chat IDs in minutes.
  • Full file manipulation – Claude can read, edit, or delete files within the project root, allowing dynamic refactoring or scaffolding from a chat.
  • Cross‑platform CLI – the setup script supports macOS, Linux, and Windows, making it easy to integrate into existing workflows.
  • Extensibility – developers can add custom MCP tools or modify prompts, tailoring the assistant to project‑specific patterns.

Typical use cases include on‑the‑go code reviews, pair programming from a mobile device, or rapid prototyping where a developer can send snippets to Claude and immediately receive suggestions in Telegram. It also serves as an educational aid, letting students experiment with code changes through a familiar messaging interface. By coupling the conversational power of Claude with the ubiquity of Telegram, TSGram MCP offers a lightweight, privacy‑preserving solution that enhances productivity without the overhead of traditional IDE integrations.