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Improvado gives your AI agent direct access to Steam data through an MCP server. Query reviews, player counts, sales performance, and store metrics — all in natural language. Works with Claude, ChatGPT, Cursor, Gemini, and any MCP-compatible tool.
Skip manual API calls and Steam Spy scraping. Ask your AI agent for review sentiment, player count trends, tag performance, or regional sales data — across any game, time range, or market. The MCP server handles Steam API calls.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Your AI agent doesn't just read Steam data — it acts on it. Update game descriptions, respond to review trends, push discount events, and manage store metadata through natural language commands.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Set up watches on review scores, player counts, and store performance. Your AI agent monitors Steam metrics continuously and flags changes before they affect rankings or revenue.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Your AI agent doesn't just read Steam data — it acts on it. Update game descriptions, respond to review trends, push discount events, and manage store metadata through natural language commands.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
Publishers managing dozens of titles spend hours reading through Steam reviews to spot recurring bugs, feature requests, or sentiment shifts. There's no native bulk analysis — only per-game review pages.
Improvado aggregates Steam review data across your entire catalog into a queryable model. The MCP server lets AI agents analyze sentiment, tag recurring themes, and surface issues across all titles at once.
Running Steam sales events requires comparing sales velocity before, during, and after discounts — across multiple titles and regions. Native Steam reports don't make this easy, especially for publishers with large catalogs.
Improvado tracks Steam sales data and discount periods, allowing pre/during/post comparison. The MCP server delivers discount impact analysis across your full catalog in seconds.
Steam is a global platform, but most teams only look at aggregate numbers. Regional pricing strategies, localization investments, and geo-specific marketing decisions are made without data on regional player behavior.
Improvado extracts Steam regional data — player counts, reviews, and sales by country — into a unified model. The MCP server makes geo-level analysis available as plain-language queries.
Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.
Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.
Valve does not publish an official MCP server for Steam. Improvado provides a hosted MCP server that connects to Steam's public and developer APIs, making store, review, and player data queryable in natural language.
You can query game reviews (sentiment, volume, text), player counts, wishlist data, store page metrics, tags, and regional breakdowns. Improvado connects to both Steam's public APIs and developer-level data for verified developers.
Yes. Improvado aggregates review data across your entire catalog and applies sentiment classification. You can query sentiment trends, recurring themes, and issue frequency across all your games at once.
Improvado connects via Steam's Web API and Steamworks data access. Setup takes under 15 minutes for public data. Developer-level data requires Steamworks partner authentication.
Yes. The MCP server works for any catalog size. Smaller teams benefit from having all review sentiment, player data, and store metrics in one place without manual aggregation — the same as large publishers.
Yes. Improvado's MCP server covers 500+ platforms. You can correlate Steam wishlist spikes with ad campaigns, compare review sentiment changes with social media activity, or analyze player acquisition across channels in one query.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
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