Telegram Notification MCP Server

The Telegram Notification MCP Server solves a common pain point for developers building AI‑powered workflows: keeping team members and stakeholders in the loop without manually checking logs or dashboards. By exposing a lightweight MCP tool, it lets Claude Code push concise, formatted alerts straight into Telegram chats whenever a task completes or an event occurs. This instant feedback loop is invaluable for continuous integration pipelines, automated monitoring scripts, and any scenario where real‑time visibility can accelerate debugging or decision making.

At its core, the server implements the MCP specification using Cloudflare’s Agents SDK, running as a serverless worker with global edge distribution. Two transport options—Server‑Sent Events (SSE) and Streamable HTTP—ensure compatibility across a wide range of clients, while Durable Objects provide the stateful persistence required by McpAgent. The tool accepts a simple JSON payload, supporting Markdown or HTML formatting and silent notifications, making it easy to embed rich, contextual messages into your AI workflow.

Key capabilities include:

• Secure credential handling through Cloudflare secrets, keeping bot tokens and chat IDs out of the codebase.
• Dual‑transport support for reliable message delivery across diverse environments.
• Message formatting that lets developers craft readable alerts without leaving the MCP interface.
• Automatic default chat resolution, so a single configuration can serve multiple teams or projects.

Typical use cases span from CI/CD pipelines that notify developers when a build fails, to data‑processing jobs that alert analysts once a new dataset is ingested. In an AI development setting, the server can be paired with Claude Code to announce when a model retraining cycle finishes or when a scheduled inference job completes, allowing teams to act immediately.

By integrating seamlessly with existing MCP workflows, the Telegram Notification MCP Server provides a low‑friction, highly reliable channel for AI assistants to communicate outcomes, fostering transparency and speeding up response times across distributed teams.