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Alternatives to Steamworks Release Assistant

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    Related Servers

    • A
      license
      A
      quality
      C
      maintenance
      Enables AI agents to audit Steam store pages for algorithmic health, forecast sales cones with P10/P50/P90 scenarios, and retrieve genre benchmarks for indie game market analysis.
      3
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables 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.
      1
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Connect any MCP-compatible AI client (Claude Code, Cursor, Windsurf) to Unity or Godot. 300+ granular tools, an editor aware system prompt, game design document project context, script semantic search, and skill calibration.
      225
      MIT

    TDQS

    A3.7/5.0

    Scored across 35 tools

    Disambiguation4/5

    Most tools occupy clearly distinct phases of the pipeline (scan, interview, generate, validate, export, apply), and names like study_market/save_market_study vs study_reviews/save_review_study pair up predictably. The main overlap is among public-data readers - fetch_reference, store_lookup, study_market, compare_games - which all pull cached Steam data and could be confused, though the descriptions do differentiate them. A couple of general-purpose tools (apply, mark_applied, set_field) also sit near each other but are separated by intent.

    Naming Consistency4/5

    Nearly everything is lower_snake_case with a verb_noun shape (scan_project, set_field, save_draft, save_market_study, localization_set, export_package). A handful of bare nouns/generics (status, generate, validate, apply, server_info, integration_code) deviate from the verb_noun pattern but remain readable and consistent in casing. No mixed camelCase/snake_case chaos.

    Tool Count3/5

    35 tools is heavy and would normally suggest over-fragmentation, but the domain (store text, achievements, builds, localization, market/review studies, validation, exports, apply) genuinely spans many distinct phases. Still, some pairs (study_market/save_market_study, study_reviews/save_review_study, fetch_reference/store_lookup) could plausibly be consolidated, pushing this into borderline-heavy territory.

    Completeness5/5

    The surface covers a full release lifecycle: init/scan, guided interview, drafting, validation, code and build checks, image preparation, localization, market/review studies, Steamworks read/write via apply/import/set_build_live, and manual export packages. Read and write paths exist on both sides (steamworks_inspect vs apply, import_from_steamworks), and the deliberate omission of a publish action is explained, leaving no obvious dead ends.