feat: upgrade to v0.3.0 with PostgreSQL sessions, daemon mode and setup wizard#9
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imdeniil wants to merge 8 commits into
Open
feat: upgrade to v0.3.0 with PostgreSQL sessions, daemon mode and setup wizard#9imdeniil wants to merge 8 commits into
imdeniil wants to merge 8 commits into
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- Add Telegram daemon for shared connection across multiple terminals
- Replace SQLite with PostgreSQL for session storage (PostgresSession)
- Add Docker Compose setup with PostgreSQL and daemon containers
- Add HTTP proxy client for MCP servers to communicate with daemon
- Add interactive setup wizard (mcp-telegram setup)
- Add new CLI commands: daemon, start --daemon, setup
- Add database migrations for schema initialization
- Update README with daemon mode documentation
Architecture:
MCP Terminal 1 ─┐
MCP Terminal 2 ─┼──▶ Telegram Daemon ──▶ PostgreSQL
MCP Terminal N ─┘ │
▼
Telegram
This allows multiple AI agents/terminals to share a single Telegram
connection without re-authentication or session conflicts.
- setup: auto-create database and run migrations - setup: better error messages and instructions - login: support PostgreSQL mode when DATABASE_URL is set - login: create account in database if not exists - login: update account with user info after auth - Add test_chain.sh for verification
- setup creates database + runs migrations - Authenticates with Telegram - Optionally starts daemon - Provides final instructions This wizard will: 1. Configure PostgreSQL database (create + migrate) 2. Set Telegram API credentials 3. Authenticate with Telegram 4. Optionally start daemon
- Split setup into sync wrapper and async implementation - Fix daemon startup outside of async context - Update README with simplified setup instructions
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Description
This PR upgrades mcp-telegram to v0.3.0, introducing several major features and stability improvements:
mcp-telegram setupcommand that automates database creation, migrations, and Docker integration.access_hasherrors by syncing entity caches.Changes
PostgresSessionclass insession.py.daemon.pywith robust API and lifecycle management.