SteamSpy MCP. Benchmark Game Ownership & Market Trends
Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
SteamSpy lets your AI agent read deep data from the Steam market and game statistics. You can track estimated owner counts, average playtime per user, and find top-performing games based on specific metrics like genre or tags.
Use it to research anything from competitor saturation to niche market gaps—all without leaving your client.
What your AI agents can do
Get all
Fetches all game records and their owner data, limited to 1,000 entries per page.
Get app details
Retrieves detailed statistics for a specific Steam application using its unique AppID.
Get genre
Finds and lists all games within an exact specified genre (e.g., 'Action', 'Puzzle').
Retrieves a large batch of game records, providing owner metrics for up to 1,000 entries per page.
Fetches precise statistics—including ownership and playtime estimates—using the unique AppID number of a Steam title.
Queries the catalog to list all games that match one or more specified genres (e.g., RPG, Strategy).
Retrieves a list of games associated with a specific community-defined tag (e.g., 'Coop', 'Survival').
Generates a ranked list of the Top 100 most popular games based on player activity since March 2009.
Ranks and lists the Top 100 games that have seen the highest number of players join or play within the last 14 days.
Identifies the Top 100 games based purely on the total number of owners estimated in the Steam database.
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SteamSpy MCP Server: 7 Tools for Game Data Analytics
Use these seven specialized tools to retrieve detailed market data, owner counts, genre lists, and current game statistics from the Steam ecosystem.
019e5d5aget all
Fetches all game records and their owner data, limited to 1,000 entries per page.
019e5d5aget app details
Retrieves detailed statistics for a specific Steam application using its unique AppID.
019e5d5aget genre
Finds and lists all games within an exact specified genre (e.g., 'Action', 'Puzzle').
019e5d5aget tag
Lists games associated with a specific community tag that users can apply to titles.
019e5d5aget top 100 forever
Gets the Top 100 most popular games ranked by cumulative player activity since March 2009.
019e5d5aget top 100 in 2 weeks
Gathers a list of the top 100 trending games based on recent player activity in the last two weeks.
019e5d5aget top 100 owned
Ranks and retrieves the Top 100 titles by their estimated total number of owners.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
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Make Your AI Do More
Start with SteamSpy, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
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- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
You wanna know what makes a game tick? You gotta look at the raw numbers. SteamSpy gives your AI agent direct access to Steam's deep market data, so you can stop guessing and start knowing. This server lets your client run complex research queries—it’s all right there in the toolset.
Need broad coverage? Use get_all to fetch massive batches of game records and their owner metrics; it gives you up to 1,000 entries per page, so you can crawl through huge swathes of data without getting stuck. For a deep dive into one specific title, use get_app_details. Just give it the unique AppID number for any Steam app, and your agent pulls precise stats—that's ownership estimates, playtime metrics, and more.
If you wanna narrow down the haystack, you can filter by category. Use get_genre to query the catalog and pull up every game that fits an exact genre, like 'Puzzle' or 'Action'. You can also find games associated with specific community tags using get_tag, listing titles under a tag like 'Survival' or 'Coop'.
When you need to know what's hot right now, there are tools for that. Use get_top_100_in_2_weeks and it gives you the list of the 100 games that have seen the most player action in just the last two weeks—that's your immediate trend report. To see what has always been popular, use get_top_100_forever; this ranks the Top 100 titles based on cumulative player activity dating all the way back to March 2009.
If you're purely interested in market share and ownership size, get_top_100_owned pulls the list of the Top 100 games ranked by their estimated total number of owners.
You use these tools—get_all, get_app_details, get_genre, get_tag, get_top_100_forever, get_top_100_in_2_weeks, and get_top_100_owned—to build a complete picture. Your agent reads the data, tracks player behavior patterns across genres or community tags, and gives you hard metrics on market saturation or niche gaps. You don't leave your client; your AI agent does all the heavy lifting right where you are.
How SteamSpy MCP Works
- 1 You connect your AI client to the SteamSpy MCP Server and provide your API key.
- 2 Your agent formulates a query, specifying which data dimension you need (e.g., 'Top 100 by owners' or 'details for AppID 730').
- 3 The server runs the appropriate tool (
get_top_100_owned,get_app_details, etc.) and returns structured, actionable gaming data to your agent.
The bottom line is you ask a question in plain English, and the server executes specialized database calls to give you the hard numbers.
Who Is SteamSpy MCP For?
Game developers, market analysts, and product managers use this. If your job involves figuring out if a game idea is oversaturated or if an old title is secretly making a comeback, you need this. It cuts the guesswork from competitive analysis.
Tracks ownership growth across specific tags and monitors how new genres perform against established market leaders.
Researches competitor titles, analyzes playtime metrics for genre benchmarking, or finds gaps in niche categories.
Validates product positioning by comparing the total ownership of a new title against historical top-tier games.
What Changes When You Connect
- Get deep player stats instantly. Using
get_app_detailsallows you to pull owner estimates and average playtime for any specific AppID, so you don't have to manually check Steam. - Find what's hot right now. The
get_top_100_in_2_weekstool immediately identifies trending titles, letting you pivot your marketing or development focus without delay. - Benchmark against history. Need proof of longevity? Use
get_top_100_foreverto see which games have maintained player interest since 2009—a true measure of success. - Identify gaps fast. Instead of browsing, use
get_tagorget_genreto filter the entire catalog by niche tags (like 'Roguelike') and pinpoint underserved markets. - See market saturation at scale. The
get_top_100_ownedtool shows you which games have amassed the largest user bases, helping you gauge overall industry size.
Real-World Use Cases
Analyzing a competitor's core game.
A studio lead needs to know if their main rival's flagship title is still relevant. They use get_app_details with the AppID, immediately getting stats on owner count and playtime per user. This tells them whether they are competing against an aging favorite or a powerhouse.
Finding a new niche genre to enter.
A product manager wants to avoid saturated markets. They use get_tag to list all games with the 'Simulation' tag, then filter that list using get_genre for 'Strategy'. This quickly maps out potential under-represented combinations.
Understanding current player hype.
A marketer wants proof of immediate interest. They run the get_top_100_in_2_weeks tool, getting a list of titles that are trending right now. This data proves which games need ad spend today.
Validating long-term market potential.
A venture capitalist wants to know if the genre 'Survival' has staying power. They combine get_top_100_forever (for historical context) with get_top_100_owned (for sheer volume), giving a holistic view of market maturity.
The Tradeoffs
Searching by name only
Asking the agent, 'Tell me about Elden Ring.' The server can't guess the AppID or category.
→
Always use a precise tool. If you know the game, use get_app_details and feed it the exact AppID number for accurate results.
Mixing tools unnecessarily
Asking to 'get top 100 games in two weeks AND all games'—this creates conflicting data sets.
→
Focus on one dimension at a time. If you need recent hype, use get_top_100_in_2_weeks. If you need the full dataset for filtering, use get_all.
Assuming ownership equals popularity
Thinking that because a game has many owners, it's still highly active.
→
Check both. Use get_top_100_owned to see total users, but always follow up with get_app_details or get_top_100_in_2_weeks to verify current engagement.
When It Fits, When It Doesn't
Use this server if your work requires hard numbers about Steam game ownership: owner counts, playtime averages, genre breakdowns, or trend tracking. This is for quantitative research.
Don't use it if you just need qualitative info—like 'What are the best-selling games?' (you need a sales tool) or 'Does this game look fun?' (that's subjective). If your goal is simply to list all titles, get_all works, but for specialized market analysis, rely on get_tag, get_genre, and the top 100 tools. The strength here is specialization; if a tool doesn't exist in the listing, don't expect it.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by SteamSpy. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 7 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Sifting through Steam data used to mean clicking dozens of tabs.
Today, figuring out market trends means opening Steam, navigating deep into community sections, checking different genre filters, and manually cross-referencing ownership estimates with recent activity reports. It's slow, error-prone work that takes hours just to gather raw data points.
With the **SteamSpy** MCP Server, you simply ask your agent: 'What are the top 100 games by owners?' The server runs `get_top_100_owned` and hands you a clean, actionable list. You get the answer in seconds.
SteamSpy MCP Server lets you query market data with just one prompt.
The process used to be: 1. Get AppID. 2. Check genre page for that AppID. 3. Go to a separate statistics tab to check owner counts. You were copy-pasting numbers across three different interfaces.
Now, you tell your agent to `get_app_details` using the AppID. It pulls all those metrics—owner count, price, playtime—into one clean data block. The entire process is contained in a single tool call.
Common Questions About SteamSpy MCP
How do I get game statistics for a specific title using get_app_details? +
You must provide the AppID number of the game when calling get_app_details. This returns owner estimates, current price, and average playtime per user.
What is the difference between get_tag and get_genre? +
get_genre filters by official Steam categories (like 'Strategy'). get_tag uses community-defined tags that users can apply to titles, offering a different layer of filtering.
Which tool should I use if I want the most popular games overall? +
If you mean historical popularity, use get_top_100_forever. If you mean current hype, run get_top_100_in_2_weeks.
Can get_all retrieve owner data for every game? +
Yes. The get_all tool retrieves a large batch of games with their associated owner data, paginated in blocks of 1,000 records.
What do I need to set up before using any tool, like get_app_details? +
You must provide a valid SteamSpy API Key when connecting the server. This key is mandatory for all operations and verifies your access credentials with the Vinkius Marketplace.
If I run get_all, how do I retrieve more than 1,000 entries? +
The tool returns results in paginated batches of 1,000. To get more data, you need to use the pagination parameter (offset) and iterate through subsequent calls until all desired records are collected.
What should I do if my AppID used in get_app_details returns an error? +
If the tool fails, check your input for a typo or verify that the given Steam AppID actually exists. Invalid identifiers will cause the API call to reject the request.
Can I filter top lists, like get_top_100_in_2_weeks, by specific tags? +
The tool calls are specialized and usually cannot cross-reference multiple criteria in one go. You first run the desired list (e.g., get_tag) and then manually apply secondary filters to narrow down the results.
Can I get detailed ownership and playtime statistics for a specific game? +
Yes! Use the get_app_details tool with the Steam AppID. It returns owner estimates, average playtime, median playtime, and price information.
How can I find the most popular games on Steam right now? +
You can use the get_top_100_in_2_weeks tool to see which games have the most active players over the last 14 days, or get_top_100_owned for the most owned games of all time.
Is it possible to browse games by specific categories like 'Indie' or 'Strategy'? +
Absolutely. Use the get_genre tool for broad categories or the get_tag tool for more specific community-defined labels to see top games in those segments.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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