Shadow-tg
Uses DuckDuckGo site-restricted search to discover public Telegram channels indexed under t.me/s/, with optional verification of subscriber counts and engagement.
Reads public Telegram channels through Telegram's public web preview, providing channel resolution and metadata, subscriber counts, recent posts, individual posts, media URLs, comments, and basic engagement/quality inspection.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
shadow-tg
Read public Telegram channels from AI agents — no MTProto, no Telethon, no api_id.
Part of the Shadow product line: tools that give AI agents eyes on the open web.
MCP server that scrapes Telegram's public web preview (t.me/s/…): channel metadata, posts, media URLs, comments, and DuckDuckGo-backed channel search. Stack: httpx + lxml + FastMCP. No browser.
get_channel("durov")
# → title, subscribers_raw ("2.54M"), description, avatar…
get_posts("durov", limit=3)
# → recent posts + views_raw + next_before cursor
search_posts("durov", "TON")
# → filter ~100 recent posts client-side (not Telegram search)Pain point
Agents need Telegram signal (channel size, engagement, fresh posts). Official Bot API can't read arbitrary public channels. MTProto/Telethon means app registration, session files, and ban risk.
shadow-tg stays on the public HTML surface Telegram already exposes. Same data a browser sees — structured for MCP tools.
Related MCP server: telegram-public-mcp-cloudflare
Quick install
pip install shadow-tgFrom source:
git clone https://github.com/ulinycoin/shadow-tg.git
cd shadow-tg
python3 -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"Cursor
After pip install shadow-tg (or pip install -e . from source), shadow-tg is available as a command:
{
"mcpServers": {
"tg": {
"command": "shadow-tg"
}
}
}Or point to the project venv directly:
{
"mcpServers": {
"tg": {
"command": ".venv/bin/python",
"args": ["-m", "tg_mcp.server"]
}
}
}Claude Code (Anthropic)
After pip install shadow-tg, add to ~/.claude/settings.json:
{
"mcpServers": {
"tg": {
"command": "shadow-tg"
}
}
}Agent tools pick up the included AGENTS.md for project context (CLAUDE.md is a symlink to it, for Claude Code).
Hermes (config.yaml)
After pip install shadow-tg:
mcp_servers:
tg:
command: shadow-tg
enabled: trueOr module form (pointing to the project venv):
mcp_servers:
tg:
command: python3
args: ["-m", "tg_mcp.server"]
enabled: trueExample prompts
Copy-paste these into your AI agent's chat after adding shadow-tg as an MCP server:
Find the top 5 Telegram channels about AI agents,
check their size and engagement, and recommend the best oneRead the last 10 posts from @durov and summarize
what he's talking about this weekInspect these channels for quality: @techcrunch, @techmeme, @verge
Drop any that are stale or have inflated subscribersSearch for Telegram channels about Rust programming.
Verify their subscriber counts and show me the 3 most active onesTools
Tool | What it does |
| Exists? title + canonical username |
| Metadata: subscribers / subscribers_raw, description, avatar |
| Batch size + |
| Feed page; paginate with |
| Single post (+ media) |
| CDN photo/video URLs + document cards |
| Comments: history ( |
| Scan ~100 recent posts + filter |
| DDG |
Important response fields
requested/canonical— alias vs real username fromdata-post(e.g.@durovstays@durov; alias channels like@some_news→@original_name)subscribers/subscribers_raw— int + display string (2.54M). Use raw for size; don't drop the decimal (2.54M≠54M)views/views_raw— post views, not channel sizemedian_views/engagement_ratio/flags— frominspect_channels/ verified search;stale= no posts newer thanstale_after_days(default 30)engagement_flags/likely_inflated— fake-sub signals:low_engagement,low_ratio,dead_reachhas_more/next_before— history cursor;next_after— live-tail comments (~3s poll)
Examples (@durov)
resolve_channel("durov")
get_channel("durov")
get_posts("durov", limit=3)
get_post("durov", 513)
get_media("durov", 532)
search_posts("durov", "TON")
inspect_channels("durov, telegram")
search_channels("durov ton", limit=5, verify=true)Comments (only if the channel has a discussion group):
get_comments("durov", 513) # first page → next_before + next_after
get_comments("durov", 513, before=…) # older
get_comments("durov", 513, after=…) # live-tail; empty = wait, reuse afterDo not pass before and after together.
How data is fetched
Need | Source |
Posts / channel page |
|
Single post / media |
|
Comments | discussion widget + |
Channel search | DuckDuckGo |
Limitations
Public channels only (web preview). Private / "Contact" pages →
exists: falseNo reactions, members list, DMs, or cross-channel user comment history
search_postsis a recent-post filter, not Telegram full-text searchsearch_channelsdepends on DuckDuckGo indexingComments require a linked discussion group
CDN media URLs can expire
Layout
src/tg_mcp/
server.py # FastMCP tools
tme_parser.py # t.me/s posts / channel / media
comment_parser.py # discussion widget + loadComments auth
channel_search.py # ddgs
channel_quality.py # median views + inflation / stale flags
cache.py # TTL cache under /tmp/tg-mcp-cache
AGENTS.md # Agent project context (CLAUDE.md -> symlink)
tests/
fixtures/ # HTML fixturesTests
PYTHONPATH=src python3 -m pytest tests/ -vLicense
MIT. Free for anything.
#telegram #mcp #ai-agents #llm-tools #web-scraping #python #channel-analytics #no-mtproto
This server cannot be deployed
Maintenance
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