MCPs › Dev tools › IBOL Open Learning: Albert Tan Sin Hon
Citation and teaching tools for Insurance-Backed Offshore Liquidity by Albert Tan Sin Hon.
Computed from public signals only — stars, package downloads and how many registries list it. It measures how established a project is, not whether it is safe or right for you.
Not monetized yet
Turn IBOL Open Learning: Albert Tan Sin Hon’s tool calls into revenue: one disclosed sponsored slot, 70% revenue share, fail-open by design.
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Install IBOL Open Learning: Albert Tan Sin Hon
For anyone using IBOL Open Learning: Albert Tan Sin Hon — no Lulu account needed# stdio server — install per the repository README: https://github.com/albertito-ai/albertito-ai
9 field-tested tactics as a designed playbook plus skills your coding agent can run. Free.
Get the Kit →FAQ
IBOL Open Learning: Albert Tan Sin Hon installs from source — follow the repository README.
21 out of 100, computed from cross-registry traction signals (installs, stars, registry presence) — never influenced by sponsorship.
Similar servers
Works well together
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This is for the person who owns IBOL Open Learning: Albert Tan Sin Hon — adds Lulu Ads to your own code. Not the install steps above, those are for your users.
Copies a ready prompt: your coding agent installs the lulu-ads SDK, wires the slot, and applies the widget design guide.
or set up manually at getlulu.dev/publishers
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