ReelRecs

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

• 连接方式: 在云端运行
• 传输方式: Streamable HTTP
• 分类: 其他

安装

选择你使用的 AI 应用，然后复制设置。

你需要

• 在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

https://mcp.reelrecs.com/mcp

claude mcp add --transport http reelrecs https://mcp.reelrecs.com/mcp

{
  "mcpServers": {
    "reelrecs": {
      "url": "https://mcp.reelrecs.com/mcp"
    }
  }
}

{
  "servers": {
    "reelrecs": {
      "type": "http",
      "url": "https://mcp.reelrecs.com/mcp"
    }
  }
}

https://mcp.reelrecs.com/mcp

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

工具名称和描述与服务器在 2026年11月6日 报告的完全一致。这些内容由作者撰写，不是我们写的；我们以纯文本形式显示。

• search_titles

  Find a movie or TV show from its name, a remembered fragment or a typo. Resolve its exact version before recommendations or availability checks. Returns canonical IDs and rich title context: description, genres, subgenres, tags, subjects, keywords, cast, directors, language, runt

• recommend_titles

  Find movies like X, shows to watch after Y, or alternatives when someone liked one title but disliked another. Resolve names with search_titles first, then pass positive and disliked reference IDs plus any desired qualities. For open-ended or mood-only discovery without reference

• get_title_peers

  Find optional content references for one resolved movie or show when a comparison is useful. Returns ReelRecs Score out of 10, descriptions, tags, subgenres and links. Candidates are selected from content without audience-score or viewing/rating-affinity selection. They do not re

• get_charts

  Find movies or TV shows for tonight or a mood: "What should I watch?", "Netflix tonight", "Something light", "tense but not depressing", "help me figure out what I'm in the mood to watch", or what's popular on streaming. Start here even when an account is connected. Use mood_pref

• get_watch_options

  Find where to watch a movie or show, including on the viewer's saved services. Resolve names with search_titles first, then pass up to ten exact IDs. Returns providers, offer types, observation dates and availability freshness. With personal access, also returns streaming_prefere

• get_my_profile

  Read account identity and saved streaming-service names when the viewer asks about their account or saved services. This is not a prerequisite for recommendations or help discovering a viewing mood; use public get_charts for those requests. Returns display identity, whether saved

• recommend_for_me

  Use when the viewer asks to explore their saved taste or the wider library, such as "recommend based on my ratings". For an open-ended "Netflix tonight", "What should I watch?" or mood-only start, use get_charts first even when connected; current chart candidates can include pers

• get_my_ratings

  Use for my ratings, all the movies and shows I rated, understand my taste, what I loved or disliked, and have I rated this title. Omit title_ids to browse the viewer's full rated list, independently of bookmarks. Browse with an optional title fragment, kind, highest/lowest/title

• get_my_bookmarks

  Use for my bookmarks, my watchlist, saved movies or shows, did I save this title, and help me pick from my list. Lists the connected viewer's own saves, newest first; query searches the full list by title fragment, kind filters movies or shows, and next_offset retrieves another p

• get_my_watchplus_groups

  Find the connected viewer's accepted Watch+ groups by group or member name, such as Jenna. Returns current accepted member IDs, display names and app usernames, never emails or pending invitees. Use these IDs for the people watching now, then recommend_for_group. Match usernames

• get_watchplus_context

  Explore the selected accepted group members' accessible tastes. Returns liked and less-liked examples and descriptive patterns. Supply up to ten resolved title IDs for each person's predicted rating, saved rating, Watch+ interest/pass and relevant saved references, including evid

• recommend_for_group

  Choose what the accepted Watch+ members watching together might enjoy tonight. Resolve the group and people with get_my_watchplus_groups first. Returns up to twelve compact candidates for the assistant to curate into two or three, with rich title details, audience ReelRecs Score,

• report_recommendation_feedback

  Record a brief quality report about a meaningful acceptance, rejection, correction or concrete problem with ReelRecs results, when permitted by the viewer and host. At most one report per new signal across ReelRecs tools. Accepts the relevant result request_id and up to five affe

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

• ! 注意

  作者与仓库一致

  注册中心没有列出源代码仓库，因此无法将发布者（reelrecs.com）与代码对应起来

• … 尚未检查

  仍在维护

  我们还没有从 GitHub 读取这个仓库

• … 尚未检查

  有许可证

  我们还没有从 GitHub 读取这个仓库

• ✓ 通过

  端点有响应

  在 158 毫秒内响应（HTTP 200）

• – 不适用

  使用 OAuth 登录

  无需登录

• ✓ 通过

  工具描述中没有隐藏指令

  已读取 13 个工具描述，未发现针对 AI 的隐藏指令

与“其他”中的其他服务器比较i

• 星标数多于此分类中其他 32599 个服务器的 0%
• 发布到注册中心的时间比此分类中其他 32599 个服务器的 92% 更新
• 基础检查结果等于或优于此分类中其他 32599 个服务器的 37%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

作者的 README

仓库中没有找到 README