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hollywoodmetrics.ai

Provides access to a large film catalog with search, details, similar films, poster analysis, and recommendations.

1 endpoint17 known toolsFirst detected July 28, 2026Last detected July 28, 2026

ENDPOINT 1

https://hollywoodmetrics.ai/mcp

No auth detected

MCP server metadata

Name
hollywood-metrics
Version
1.0.0
Capabilities
tools.listChanged
Server instructions

Hollywood Metrics is a cinema analytics platform: 74,000+ films across 100 years, a 1,571-screenplay research set with a 20-feature quality model, craft style guides, and film outcome forecasting. Sign in through your MCP host to connect your account (OAuth), or send a Hollywood Metrics API key. Without either you are in sandbox mode: read-only tools, 25 requests per day per IP. Paid tiers raise the daily limit and unlock the AI tools on Studio tier. Call get_account_status (free, unmetered) to see your mode, tier, scopes, and remaining quota. Every other tool call counts as one API request.

Known tools 17

search_films

Search and filter the 74,000+ film catalog (1915 to today).

Inferred read-only
get_film

Full canonical record for one film by IMDb id (e.g.

Inferred read-only
get_similar_films

Films similar to a given IMDb id, from curated similarity data.

Inferred read-only
get_poster_analysis

Structured visual analysis of a film's theatrical poster: design quality, mood, composition, color, typography, genre signals, standout elements.

Inferred read-only
recommend_films

Content-based recommendations from liked (and optionally disliked) films.

Inferred read-only
get_catalog_stats

Aggregate statistics computed across the whole catalog: total films, genre and decade distributions, IMDb rating and master-score distributions, budget tiers, ROI by decade, top directors by film count, top languages, and the top Oscar-winning films.

Inferred read-only
search_scripts

Browse the 1,571-screenplay research set, ranked into tiers S (exceptional) through E.

Inferred read-only
get_script

One ranked screenplay by IMDb id: tier, rank, points, and its full 20-feature measurement vector.

Inferred read-only
analyze_screenplay

Run screenplay text through the tier-prediction model trained on 1,571 ranked scripts.

Inferred read-only
predict_project_outcome

Forecast a film project's prospects from its package: estimated worldwide gross, IMDb rating, master score, and ROI, with comparable films, audience read, and marketing angles.

Inferred read-only
list_style_guides

List the style guides available for one discipline: screenwriters (~166), directors (~100), or cinematographers (~160).

Inferred read-only
get_style_guide

Full style guide for one screenwriter, director, or cinematographer by name or slug: overview, keywords, signature techniques, and reference films.

Inferred read-only
ai_script_coverage

Professional-grade AI coverage of screenplay text: structure, dialogue, pacing, and craft notes grounded in the platform's 20-feature measurement of the same text.

Inferred read-only
ai_rewrite_scene

Rewrite scene or screenplay text in the voice of a named screenwriter, guided by that writer's style guide.

Inferred read-only
get_account_status

Your connection status: mode (sandbox, signed_in via OAuth, or api_key), tier, scopes, daily request limit, approximate usage today, and when the quota resets.

Inferred read-only
search

Search films and ranked screenplays by title, people, keywords, or synopsis.

Inferred read-only
fetch

Fetch the full document for a search result id ('film:tt...' or 'script:tt...').

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.hollywood-metrics]
url = "https://hollywoodmetrics.ai/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "hollywood-metrics": {
      "type": "http",
      "url": "https://hollywoodmetrics.ai/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: hollywood-metrics
Remote MCP URL: https://hollywoodmetrics.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "hollywood-metrics": {
      "url": "https://hollywoodmetrics.ai/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "hollywood-metrics": {
      "type": "http",
      "url": "https://hollywoodmetrics.ai/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "hollywood-metrics",
  "transport": "streamable-http",
  "url": "https://hollywoodmetrics.ai/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for hollywoodmetrics.ai was fetched 2026-08-03T22:27:29.271Z and is being refreshed.

Trust status Neutral

hollywoodmetrics.ai is assessed as Neutral: No suspicious signals found, but no strong positive signal either

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.