Answers for developers, publishers and site owners on monetizing and distributing web games.
336 posts
Ad revenue in a web game comes from how many ad requests get filled and at what rate: revenue = ad requests x fill rate x eCPM / 1000. Full-screen formats and Tier-1 geos earn more per impression than banners or other regions, so format mix and audience matter as much as traffic volume.
An MCP server exposes a game platform's actions (create game, upload build, upload cover, edit metadata) as tools an AI agent can call directly. The agent handles repetitive publishing steps through a coding assistant; a human still submits to moderation and handles deletion and payouts.
Run or connect to an MCP server from an AI coding agent (Claude Code, Cursor, VS Code, Codex) so the agent can call real tools - build steps, asset uploads, publishing actions - instead of just generating text. Add the server's endpoint to the agent's MCP config and grant it credentials for the workflow it should automate.
Yes, partly. An AI coding agent can automate the mechanical steps - filling forms, uploading builds and covers, editing catalog data - if the portal exposes an MCP server or API. Final moderation and payout steps are typically still left to a human.
Model Context Protocol (MCP) is an open standard that lets AI applications call tools on external systems. For game developers, it means an AI coding agent can create games, upload builds and covers, and manage in-app items directly through a connected MCP server, instead of you doing each step by hand in a dashboard.
Numbers rarely match exactly because each system reports on a different clock, at a different processing stage, and sometimes gross vs net of fees. Align the time zone, date range, currency and gross/net basis before assuming revenue is missing.
Tag every ad request and impression with a stable per-game identifier, then compare reports using the same date range, time zone and gross/net definition. Numbers from different systems (ad network dashboard, ad server, analytics) will never match exactly by construction - the goal is a consistent, explainable delta, not a zero difference.
You can't attribute revenue perfectly across systems because each one measures with a different attribution window, session definition and gross/net basis. Reconcile by aligning dates, time zone and currency, then use the ad network's numbers to steer campaigns and your own site's revenue report to judge if traffic actually pays.
At minimum: ad requests, match rate, fill rate, show rate, impressions, eCPM, RPM and revenue, broken down by game, placement, format, geo and device - with clear definitions for each metric so you can reconcile against your own analytics.
Blockers suppress ad requests before monetization code runs, reducing total requests. Lost revenue is calculated using Revenue = ad requests x fill rate x eCPM / 1000, where full-screen formats and Tier-1 geos earn several times more.