SteamDT MCP Server
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Alternatives to SteamDT MCP Server
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- FlicenseNot gradedqualityDmaintenanceEnables querying Steam item prices, wear, and price history via the SteamDT API, allowing AI assistants to retrieve and analyze Steam marketplace data.14-
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to query CS2 item market analytics, including historical K-lines, live broad index trends, price snapshots, float/wear parsing, and cloud-rendered 3D inspection images.MIT
- AlicenseAqualityAmaintenanceEnables AI assistants to query Steam profiles, libraries, achievements, store data, and reviews via the Steam Web API.152MIT
- FlicenseAqualityBmaintenanceProvides AI assistants with real-time access to Warframe market data and game information, including item search, orders, statistics, and liquidity estimates.191-
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to recommend Steam games from natural language by searching games, finding similar titles, filtering by tags and platform, and retrieving detailed game metadata.1MIT
- AlicenseAqualityBmaintenanceReal-time data API for AI Agents. 10 MCP tools covering A-share stock quotes, market overview, fund data, web search, news, weather, logistics tracking, and IP geolocation.10MIT
TDQS
Scored across 13 tools
Each tool targets a distinct aspect of CS2 item data (basics, indices, klines, prices, wear, inspect, search, styles) with no overlap. Even similar tools like price_single and price_batch are clearly differentiated.
All tools follow the consistent pattern 'steamdt_verb_noun' in snake_case, making the purpose predictable. Examples: steamdt_get_base_info, steamdt_search_item_by_name.
13 tools is well within the ideal range. Each tool serves a specific need without redundancy, covering the core functionality of a CS2 data server without being overwhelming.
The tool set covers essential operations: retrieving base data, indices, klines, prices (single, batch, averages), wear, inspect, and search. Minor gaps exist (e.g., no direct item detail endpoint, no user-specific data), but the core CS2 item analysis workflow is well-supported.