Telegram-Community-MCP: Instructions file for Claude Code

CLAUDE.md

Telegram-Community-MCP CLAUDE.md is an instructions file for Claude Code from nullnumber1/Telegram-Community-MCP. It costs 518 tokens per session, scanned A, original, MIT.

A project instruction file for Telegram-Community-MCP, a tool that connects software to Telegram community data. It records the commands, library versions, database rules, and search design required by the project.

In plain words
What is it for?
Use it when developing, testing, formatting, or running the project’s Telegram MCP server and its local message database and semantic search.
Why use it?
It prevents agents from using incompatible libraries, invalid settings, unsafe file paths, or a slower and incorrect search setup.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md.

This is nullnumber1/Telegram-Community-MCP's own configuration. It tells Claude Code how to work on Telegram-Community-MCP itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Telegram-Community-MCP configures →

Reuse

Borrowing it

Nothing to install: this file belongs to nullnumber1/Telegram-Community-MCP. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/nullnumber1/Telegram-Community-MCP/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/nullnumber1/Telegram-Community-MCP

Made for: Claude Code.

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-Community-MCP CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/nullnumber1/telegram-community-mcp/claude-md/github.svg)](https://agentmods.dev/instructions/nullnumber1/telegram-community-mcp/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/nullnumber1/telegram-community-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/nullnumber1/telegram-community-mcp/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for Telegram-Community-MCP CLAUDE.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/nullnumber1/telegram-community-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/nullnumber1/telegram-community-mcp/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 518 This file is loaded in full into every session.
When invoked 518 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00518 $0.00518
Opus 5.5 $0.00207 $0.00207
Sonnet 5.5 $0.00104 $0.00104
Haiku 4.5 $0.00052 $0.00052

Measured 2mo ago against content hash 2ee8f929dc3f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Telegram-Community-MCP CLAUDE.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 2mo 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.

CLAUDE.md · 43 lines

How it starts

The opening of the file, as written. The whole thing — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md — agent instructions

Development commands

Run tests

uv run pytest -x -v

Linting and formatting

uv run ruff check . --fix uv run ruff format .

Test MCP server locally

uv run mcp dev server.py

Architectural decisions

  • Telethon: strictly v1.42.x. DO NOT use v2 alpha. Parameter is api_hash, NOT api_secret.
  • MCP FastMCP: import ONLY from mcp.server.fastmcp. NOT from standalone fastmcp package.
  • sqlite-vec: KNN query MUST contain k = N. Without it — OperationalError.
  • SentenceTransformer.encode(): parameter normalize_embeddings=True, NOT return_tensors.
  • All paths in claude_desktop_config.json must be absolute.
  • DB always in WAL mode: PRAGMA journal_mode=WAL.
  • Message ID: composite chat_id * 10_000_000_000 + message_id to avoid cross-chat collisions.
  • Semantic search is two-phase: coarse Hamming KNN over vec_messages_bin (binary bit[384], ~32x smaller, kills cold-scan latency) then exact fp32 rerank over vec_messages. Both tables are dual-written on insert. Rerank MUST fetch fp32 via per-id point lookups (message_id = ?), NOT IN (...) — vec0 full-scans an IN-list (~14x slower). Build the bit index from existing fp32 without re-embedding: python scripts/ingest.py --build-binary.

Project structure

src/db.py — DB initialization, CRUD, FTS queries, sqlite-vec queries src/embedder.py — model loading, embed(texts) -> np.ndarray src/telegram.py — TelegramClient wrapper, iter_messages with checkpoint src/search.py — hybrid search: FTS + KNN + RRF fusion server.py — FastMCP entry point, tool definitions scripts/auth.py — first-time Telegram authorization scripts/ingest.py — full import / incremental import via --chat-id scripts/list_chats.py — list all account dialogs

What NOT to do

  • Do NOT index media files, stickers, polls — only message.text
  • Do NOT use transport="sse" — only transport="stdio"
  • Do NOT store api_hash or session in git
  • Do NOT make sync synchronous — it must be async

Read the full file on GitHub · 43 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. 2mo ago First seen · 43 lines · 518 tokens per session scan A 2ee8f929dc3f

Subscribe to this mod's changes

Telegram-Community-MCP CLAUDE.md is an instructions file published in the GitHub repository nullnumber1/Telegram-Community-MCP (2 stars, last pushed 5mo ago), licensed MIT. It adds 518 tokens to every session, about $0.0021 per session on Opus 5.5. 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.

Related

Telegram-Community-MCP CLAUDE.md compared with instructions from other repositories

Telegram-Community-MCP CLAUDE.md next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
Telegram-Community-MCP CLAUDE.mdnullnumber1/Telegram-Community-MCPInstructions file25mo agoMITA518Claude Code
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA9,719GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143ktodayMITA7,461Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA5,516GitHub Copilot
langchain AGENTS.mdlangchain-ai/langchainInstructions file149ktodayMITA4,680Codex, OpenCode
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode