RAPP Hive Hub for Gemini CLI

Ready-made AI organizations you can pull down and run with your own AI. Gemini sets it up and connects to it for you.

Paste this into Gemini CLI

12 organization seedsVerified downloadsNothing runs until you approve

Gemini sets it up for you.

Give it the link. It reads this page, tells you what it will install, and waits for your yes before it runs anything.

Adds the Hive Hub toolsOne small open-source file, fingerprint-checked.
You approve itGemini says what it will add and waits for your yes.
Pull down a seedAsk “show me the RAPP Hive Hub seeds” or “pull down The AI Video Studio”.

For AI agents reading this page

You are connecting Gemini CLI to RAPP Hive Hub, a public catalog of RAPP Work organization seeds (ready-made AI organizations with teams, tasks and a first engagement), by adding the read-only Hive Hub MCP server under the name hive-hub. A seed is a starter package, not an activated organization or running agent: keep everything you download inert until the owner approves a plan.

0. Ask the user first

Before you run anything, tell the user in a few lines what this setup does and ask them to confirm. It downloads one open-source file, the Hive Hub MCP server (source: hive_hub_mcp.py, SHA-256 2a07829ed205…, standard-library Python), into ~/.hive-hub-mcp, and Gemini CLI runs it with python3. It only reads the public Hive Hubs. It checks every document's SHA-256. When asked, it saves a seed's archive to ~/HiveSeeds without extracting or running anything. Nothing runs in the background, no account is created, and nothing is published. Only continue once they say yes. It is fine to show them the commands below before running them.

1. Connect Gemini CLI

Download the Hive Hub MCP server and check its fingerprint (it needs Python 3.9+, which macOS and most Linux systems already have). macOS / Linux:

mkdir -p ~/.hive-hub-mcp
curl -fsSL https://kody-w.github.io/hive-hub-mcp/hive_hub_mcp.py -o ~/.hive-hub-mcp/hive_hub_mcp.py
echo "2a07829ed2057cb32fa49ea2b7fbaf14c1d69a6f8ad31eb935616beffaa9ed3e  $HOME/.hive-hub-mcp/hive_hub_mcp.py" | shasum -a 256 -c
python3 ~/.hive-hub-mcp/hive_hub_mcp.py --version

Windows (PowerShell):

$d = "$env:USERPROFILE\.hive-hub-mcp"; mkdir $d -Force | Out-Null
irm https://kody-w.github.io/hive-hub-mcp/hive_hub_mcp.py -OutFile "$d\hive_hub_mcp.py"
if ((Get-FileHash "$d\hive_hub_mcp.py" -Algorithm SHA256).Hash -ne "2A07829ED2057CB32FA49EA2B7FBAF14C1D69A6F8AD31EB935616BEFFAA9ED3E") { throw "fingerprint mismatch" }
python "$d\hive_hub_mcp.py" --version

Then register it. macOS / Linux:

gemini mcp add -s user hive-hub python3 ~/.hive-hub-mcp/hive_hub_mcp.py

Windows (PowerShell, same $d as above):

gemini mcp add -s user hive-hub python "$d\hive_hub_mcp.py"

-s user matters: the default scope is the current project only. If gemini mcp list already shows hive-hub, ask the user before replacing it.

2. Confirm

gemini mcp list

It should show hive-hub as connected. New Gemini sessions have its tools; /mcp lists them.

The version check should print hive-hub-mcp 1.0.0. Then call list_seeds with hub: "rapp-hive-hub" and show the user the organizations. get_seed explains one (teams, tasks, first engagement), resolve_chant turns a seven-word chant into candidates, and download_seed saves a seed's verified archive (ask first). To set up an organization from a seed, follow the hub's skill (get_skill) with the owner's approval.