Telegram Plugin: Overview & Toolset

⏱ Est. reading time: 3 min Updated on 5/7/2026

The Telegram plugin is a community-driven alternative that connects Claude Code to Telegram. It is an open-source plugin from claude-plugins-official, powered by a local MCP server running on Bun.

How it Works

It logs into a Telegram bot you create and converts inbound messages into <channel> notifications for the agent. The agent can then reply or react using MCP tools.

Telegram Interaction

Exposed Tools

Tool Purpose
reply Sends a message to a chat. Supports chat_id, text, reply_to, and file attachments.
react Adds an emoji reaction. Only specific Telegram emojis are allowed (👍, ❤, 🔥, 👀, etc.).
edit_message Edits a previously sent bot message. Great for status updates like "Working..." → "Done".

Key Differences from Remote Control

  • Remote Control: Moves the client to the cloud. You see the full transcript.
  • Telegram Plugin: Connects an IM app to the agent. You see chat bubbles – it's more fragmented and IM-like.
  • History: Telegram Bot API does not provide chat history. The bot only sees messages received after it started.

Related Tools & Resources

Related Products

📦

mempalace

MemPalace is a local-first AI memory tool designed to store conversation history verbatim and retrieve it through semantic search, without summarizing or paraphrasing. It utilizes a structured index, categorizing information into "wings," "rooms," and "drawers" to enable scoped searches. The retrieval layer is pluggable (ChromaDB by default), ensuring all data remains on the user's machine unless opted out. It achieves an impressive 96.6% R@5 raw recall on the LongMemEval benchmark, notably without requiring LLMs or API calls, showcasing high performance in a local environment.
📦

code-review-graph

code-review-graph is an AI-assisted code review tool that builds a structural map of code using Tree-sitter and incrementally tracks changes to provide precise context to AI assistants via the Model Context Protocol (MCP). This approach significantly reduces token consumption by enabling AI models to read only the minimal set of files relevant to a change, rather than the entire codebase. It aims to solve the token waste problem in large repositories and monorepos, improving the efficiency and quality of AI code reviews.
📦

claude-context

Claude Context is an MCP (Model Context Protocol) plugin developed by Zilliztech, designed to provide deep code context to Claude Code and other AI coding assistants. It leverages semantic search to efficiently retrieve relevant code snippets from entire codebases, injecting them directly into the AI's context. This approach addresses the limitations of context windows and high costs associated with large codebases by storing the codebase in a vector database for efficient management and cost-effectiveness.