SteamDT MCP Server
Related Servers
Alternatives to SteamDT MCP Server
No user-submitted related servers found.
Related Servers
- 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
- AlicenseNot gradedqualityBmaintenanceEnables AI agents and coding assistants to access live Steam market intelligence, including app search, store details, player-count trends, review mining, and news digests.15 npm1MIT
- AlicenseAqualityAmaintenanceEnables AI assistants to query Steam profiles, libraries, achievements, store data, and reviews via the Steam Web API.152MIT
- AlicenseAqualityBmaintenanceProvides AI assistants with real-time access to Warframe market data and game information, including item search, orders, statistics, and liquidity estimates.19270 npm1MIT
- AlicenseAqualityCmaintenanceEnables AI agents to query live Escape from Tarkov data, including items, flea market prices, traders, maps, quests, hideout stations, barters, crafts, and server status, with real-name resolution.14MIT
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.