Content Tools
hollywoodmetrics.ai
Provides access to a large film catalog with search, details, similar films, poster analysis, and recommendations.
ENDPOINT 1
https://hollywoodmetrics.ai/mcp
MCP server metadata
- Name
- hollywood-metrics
- Version
- 1.0.0
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
get_poster_analysisStructured visual analysis of a film's theatrical poster: design quality, mood, composition, color, typography, genre signals, standout elements.
Inferred read-onlyrecommend_filmsContent-based recommendations from liked (and optionally disliked) films.
Inferred read-onlyget_catalog_statsAggregate 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-onlysearch_scriptsBrowse the 1,571-screenplay research set, ranked into tiers S (exceptional) through E.
Inferred read-onlyget_scriptOne ranked screenplay by IMDb id: tier, rank, points, and its full 20-feature measurement vector.
Inferred read-onlyanalyze_screenplayRun screenplay text through the tier-prediction model trained on 1,571 ranked scripts.
Inferred read-onlypredict_project_outcomeForecast 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-onlylist_style_guidesList the style guides available for one discipline: screenwriters (~166), directors (~100), or cinematographers (~160).
Inferred read-onlyget_style_guideFull style guide for one screenwriter, director, or cinematographer by name or slug: overview, keywords, signature techniques, and reference films.
Inferred read-onlyai_script_coverageProfessional-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-onlyai_rewrite_sceneRewrite scene or screenplay text in the voice of a named screenwriter, guided by that writer's style guide.
Inferred read-onlyget_account_statusYour 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-onlysearchSearch films and ranked screenplays by title, people, keywords, or synopsis.
Inferred read-onlyfetchFetch the full document for a search result id ('film:tt...' or 'script:tt...').
Inferred read-onlyCONNECT 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.
hollywoodmetrics.ai is assessed as Neutral: No suspicious signals found, but no strong positive signal either
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.