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reel-relay

Share an Instagram reel to Claude and have it watch, research, and build what it shows. Self-hosted MCP connector (yt-dlp + ffmpeg + Groq Whisper).

Install / Use

claude mcp add siemd2 -- npx -y github:siemd2/reel-relay

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

81/100

Supported Platforms

Claude Code
Claude Desktop

Tags

Our assessment of reel-relay

reel-relay scores 81/100 on our quality scale, 387th of 437 Education & Research skills we index.

Its MCP Server is 8.1 KB long, well organised into 14 sections with 3 code examples: a thorough specification that gives an agent plenty to work with.

It has 10 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
29/30
Structure
18/20
Description
15/15
Adoption
4/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated about 3 months ago, so reel-relay is actively maintained.
  • Our last check on 2026-09-09 found the source still online.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 97/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.

AI review by kimi-k2.7-code on 2026-10-10. Automated pattern scan on 2026-10-10. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

reel-relay compared with similar skills

All 4 of these similar skills score higher than reel-relay; compare them before choosing.

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Frequently asked questions

How do I install reel-relay?
Run claude mcp add siemd2 -- npx -y github:siemd2/reel-relay. The install tabs above show the steps for each supported agent.
Which AI agents does reel-relay work with?
It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
Is reel-relay safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 97/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is reel-relay still maintained?
The repository was last updated about 3 months ago, so reel-relay is actively maintained.

reel-relay

Forward an Instagram reel to Claude the same way you send it to a friend - then have Claude watch it, research it, and build what it shows.

<p> <a href="https://github.com/siemd2/reel-relay/actions/workflows/tests.yml"><img alt="tests" src="https://github.com/siemd2/reel-relay/actions/workflows/tests.yml/badge.svg"></a> <img alt="Python 3.11+" src="https://img.shields.io/badge/python-3.11%2B-blue"> <img alt="License: MIT" src="https://img.shields.io/badge/license-MIT-green"> <img alt="MCP" src="https://img.shields.io/badge/Model_Context_Protocol-connector-8A2BE2"> <img alt="Self-hosted" src="https://img.shields.io/badge/self--hosted-yes-orange"> </p>

Ever be doomscrolling reels, hit one with a genuinely good idea - for me it's usually some insane UI demo - and I think "I want Claude to build a demo"... but you can't be bothered to pause, transcribe it, and explain it? So you save it to the graveyard folder you'll never open again.

reel-relay closes that gap. Share the reel to your self-hosted endpoint (a Telegram bot, an iOS Shortcut, or an Instagram DM), and it lands in Claude as a timestamped transcript plus sampled video frames - so Claude can actually "watch" it and you can just say "what's in the reel I just shared?" Then take it further: "research whether this tactic would work for my project" or "build the thing in that reel."

The share gesture you already use 20 times a day - now one of the recipients is Claude.


How it works

  phone: Telegram bot  ·  iOS Shortcut  ·  Instagram DM
            │  POST /ingest {url}   (X-Ingest-Secret)
            ▼
   your server (localhost or a free cloud VM)
     ├─ yt-dlp        → download the reel (≤720p mp4)
     ├─ ffmpeg        → ~30 deduplicated keyframes (JPEG, 512px wide)
     ├─ captions →    else Groq whisper-large-v3 → timestamped transcript
     └─ SQLite + frames on disk (the video itself is deleted)
            │
            ▼
   FastMCP server (streamable HTTP, same process)
            │  get_reel() → transcript + frames as MCP images
            ▼
   Claude  (web · desktop · mobile · Claude Code)  via a custom connector

Everything runs in one Python process you host yourself. Claude reaches it as a standard MCP custom connector - the reel's transcript arrives as text and its frames arrive as images, so Claude sees both what's said and what's shown.

Features

  • Multiple ways to ingest - forward a reel to a Telegram bot (easiest, works on iOS and Android, no app review), an iOS share-sheet Shortcut, or an Instagram DM webhook.
  • Claude actually "watches" the video - timestamped transcript + evenly-sampled, deduplicated frames delivered as MCP image content.
  • Three MCP tools tuned so Claude knows to grab "the reel I just shared" with zero ceremony.
  • Free transcription via Groq's whisper-large-v3 (falls back to it only when a reel has no captions).
  • Runs anywhere - your Mac, a Raspberry Pi, or a free-forever cloud VM. Binds to localhost; you expose it through a tunnel, so no ports are opened to the world.
  • Self-healing & tiny - the video is never stored (~0.6 MB of frames per reel), the disk auto-prunes, and the service auto-restarts.

MCP tools

| Tool | What it does | |---|---| | list_recent_reels(limit=10) | Browse recently shared reels (id, title, transcript preview). | | get_reel(reel_id?, include_frames=true, max_frames=10) | Watch a reel - full timestamped transcript + sampled frames. No reel_id → the most recent one (that's "the reel I just shared"). | | get_reel_frames(reel_id?, start_s, end_s) | Zoom into a specific time window for more visual detail. |


Quickstart (self-host in ~10 minutes)

Requirements: Python 3.11+, uv, ffmpeg, and a free Groq API key. A cloudflared or Tailscale tunnel to expose it, and a Claude account with custom connectors.

git clone https://github.com/siemd2/reel-relay.git
cd reel-relay

# system deps (macOS shown; Linux: apt install ffmpeg)
brew install ffmpeg uv

uv sync                 # install Python deps
make secrets            # generate INGEST_SECRET + MCP_PATH_TOKEN into .env
# add your Groq key:  echo 'GROQ_API_KEY=gsk_...' >> .env   (or edit .env)
make test               # offline tests - synthesizes a clip with ffmpeg, no network
make dev                # start the server on http://127.0.0.1:8787

Expose it & connect Claude:

# quickest tunnel for testing (random URL, no domain needed):
cloudflared tunnel --url http://localhost:8787

make mcp-url            # prints your connector URL: https://<tunnel-host>/mcp-<token>/mcp

Add that URL in Claude → Settings → Connectors → Add custom connector. No OAuth - the long random path segment is the credential, so treat the URL as a secret.

Share reels to it. Easiest is a Telegram bot — works on iOS and Android, no app review, ~2-minute setup: docs/telegram.md. Prefer something else? An iOS share-sheet Shortcut or the Instagram DM webhook. Then: share/forward a reel → open Claude → "what's in the reel I just shared?"

Run it 24/7 for free (always-on cloud)

Instagram rate-limits datacenter IPs, so the download step wants a "residential-looking" connection - but in practice a free-tier cloud VM works fine for personal volume. The setup the author runs (≈$0/month, survives reboots, independent of your laptop):

  1. Free VM - Oracle Cloud Always Free (VM.Standard.E2.1.Micro), or any small Linux box.
  2. Deploy - uv sync, drop your .env, install the ops/reel-relay.service systemd unit (systemctl enable --now reel-relay), and add the hourly ops/cleanup.sh cron.
  3. HTTPS with no open ports - Tailscale Funnel: tailscale funnel --bg 8787 gives you a permanent https://<machine>.<tailnet>.ts.net URL that routes inbound through Tailscale's edge (the VM never exposes a public port; the app stays bound to localhost). Register that URL + /mcp-<token>/mcp as your connector.

On macOS instead, make launchd-install keeps the server + a Cloudflare tunnel running at login.


Configuration

All settings come from environment variables (see .env.example):

| Var | Required | Purpose | |---|---|---| | GROQ_API_KEY | for transcription | Groq key for whisper-large-v3 (free tier). | | INGEST_SECRET | ✅ | Shared secret the /ingest endpoint requires (X-Ingest-Secret header). | | MCP_PATH_TOKEN | ✅ | Long random segment in the MCP URL - the connector's only auth. | | DATA_DIR, HOST, PORT | optional | Storage location and bind address (defaults: ./data, 127.0.0.1, 8787). | | YTDLP_COOKIES_FROM_BROWSER | optional | Reuse a browser's Instagram session for reels that require login. |

make secrets fills the two required secrets for you.

Security

  • The server binds 127.0.0.1 only; the tunnel is the sole path in.
  • /ingest and the debug endpoints require the X-Ingest-Secret header (constant-time compared).
  • The MCP endpoint is guarded by a long random path token - the connector URL is a secret.
  • Interactive API docs (/docs, /openapi.json) are disabled since the app faces the internet.
  • Videos are never persisted; data/ and .env are gitignored.

Roadmap

  • Not sure, will evolve with needs.

Contributions welcome - open an issue or PR.

How it's built

Python 3.11+ · FastAPI · FastMCP (streamable HTTP) · yt-dlp · ffmpeg · Groq whisper-large-v3 · SQLite · uv. One process, no external database, no build step.

License

MIT - do anything you like; self-host your own.

Related Skills

View on GitHub
GitHub Stars10
CategoryEducation
Updated2mo ago
Forks0

Languages

Python

Trust signals

97/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

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