telegram-mcp AGENTS.md

telegram-mcp AGENTS.md is an instructions file for Codex, OpenCode from VovaVindar/telegram-mcp. It costs 1,431 tokens per session, scanned A, original, MIT.

Instructions for using telegram-mcp, a server that can read, write, and organize Telegram chats, channels, and groups through a user's account.

In plain words
What is it for?
They are for listing channels, reviewing recent messages, grouping subscriptions by topic, and creating Telegram folders after confirmation.
Why use it?
They describe a repeatable way to sort channel subscriptions while requiring a plan before folders are created.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions AGENTS.md.

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/vovavindar/telegram-mcp/agents-md
Clone the repo
git clone --depth 1 https://github.com/VovaVindar/telegram-mcp

Made for: Codex, OpenCode.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for telegram-mcp AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/vovavindar/telegram-mcp/agents-md.svg)](https://agentmods.dev/instructions/vovavindar/telegram-mcp/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/vovavindar/telegram-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/vovavindar/telegram-mcp/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,431 This file is loaded in full into every session.
When invoked 1,431 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.01431 $0.01431
Opus 5 $0.00715 $0.00715
Sonnet 5 $0.00286 $0.00286
Haiku 4.5 $0.00143 $0.00143

Measured 5d ago against content hash 0db975159b44, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

telegram-mcp AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

AGENTS.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

This file describes how AI agents can use telegram-mcp to organize and manage a user's Telegram account. Any AI model or agent framework that discovers this file can use these workflows.

Server Overview

telegram-mcp is an MCP (Model Context Protocol) server that provides 19 tools for reading, writing, and organizing Telegram chats, channels, and groups. It connects via Telethon (user account, not bot API), so it has full access to everything the user can see.

Agent Workflows

1. Auto-organize channels into folders

The primary workflow. Analyze all channel subscriptions and create themed folders.

Steps:

  1. Call list_dialogs(filter="channels", limit=200) to get all channels with IDs, names, and unread counts.
  2. For each channel, call get_chat_info(chat_id) and get_messages(chat_id, limit=5) in parallel to get metadata and sample recent content.
  3. Analyze channel names, descriptions, and message content to infer topics.
  4. Group channels into 5-10 thematic folders (e.g., "Coding", "Design", "News", "Personal").
  5. Present the plan to the user as a table before making changes.
  6. On confirmation, call create_folder(name, chat_ids) for each folder sequentially (parallel calls will cause ID collisions).

Constraints:

  • Folder names are limited to 12 characters.
  • Telegram allows up to 10 custom folders.
  • Create folders one at a time, not in parallel.

2. Identify cleanup candidates

Find channels worth unsubscribing from or archiving.

Steps:

  1. Call list_dialogs(filter="channels", limit=200).
  2. Flag channels where last_message_date is older than 6 months (inactive/dead).
  3. Flag channels with very high unread_count (500+) as potentially abandoned by the user.
  4. For flagged channels, call get_messages(chat_id, limit=3) to check if the channel announced it's shutting down or migrating.
  5. Present results as a table with channel name, last active date, unread count, and recommendation (archive, mute, or unsubscribe).
  6. On confirmation, call archive_chat or mute_chat as requested. Note: there is no leave_chat tool, so the user must unsubscribe manually.

Read the full file on GitHub · 114 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 114 lines · 1,431 tokens per session scan A 0db975159b44

Subscribe to this mod's changes

telegram-mcp AGENTS.md is an instructions file published in the GitHub repository VovaVindar/telegram-mcp (1 stars, last pushed 5mo ago), licensed MIT. It adds 1,431 tokens to every session, about $0.0072 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.