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ReelRecs MCP server

Which MCP servers are ReelRecs's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.

read 2026-11-04

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Whose server it is
  • Registry namecom.reelrecs/reelrecsverified in the MCP registry

The registry name sits under reelrecs.com. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

When we asked itchecked 2026-11-04
  • Stateanswerschecked 2026-11-04
  • Tools13
  • Server calls itselfReelRecs
  • Server version0.1.0
  • Protocol version2025-06-18

On 2026-11-04 the server answered initialize and tools/list without a sign-in. First answer in 311 ms.

Should an agent connect itNot proven either way yet
  • Whether its tools do the product's job has not been judged yet.
  • Checked on 1 of the 7 days it takes to judge reliability.

Once connected

  • Parameters are untyped or undescribed in 12 of 13 tools: check arguments before calling.

Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.

Measured dailydaily checks: 1, the first on 2026-11-04
  • INITE MCP scoreafter a weeka score needs 7 daily checks: 1 so far
  • Answeredmeasuring1 of the 7 daily checks it takes to print a share
  • Median first answer320 ms
  • Space in an agent's context≈ 8,781 tokensthe definitions of all its tools (13), which an agent carries on every turn
  • Tool definitionsB · 85 of 100
  • Typed results13 of 13 toolsdeclared outputSchema: results come typed, read once
  • Parameters without a description: in 12 of 13

Worth a look

None of the five warning signs in these definitions.

A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →

Tools it offers13 tools · read 2026-11-04
  • 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…

  • 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 an…

  • 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…

  • get_charts

    Start here for "Netflix tonight", "What should I watch?", "Good shows", "Something light" or what's popular on streaming, including when an account is connected. Find current candidates first, then judge their fit for the viewer's mood…

  • 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…

  • get_my_profile

    Requires a connected ReelRecs account. Returns display identity, whether saved taste is available, and the viewer's saved streaming-service names in streaming_preferences.services. Use these when the viewer asks about their services…

  • 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…

  • 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…

  • 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…

  • 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…

  • 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…

  • 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…

  • 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…

How to connect

Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:

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

Add it

Claude Code, in a terminal

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

Add to CursorAdd to VS Code

claude.ai, ChatGPT and other clients: add https://mcp.reelrecs.com/mcp as a custom connector in the settings.

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.