INDIVIDUAL MCP TOOL

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.

hollywoodmetrics.ainone authenticationAvailability not checked

LIVE ENDPOINT

https://hollywoodmetrics.ai/mcp

No auth detected

Connect to this endpoint to inspect the live schema for predict_project_outcome and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

hollywoodmetrics.ai

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.

Related tools

search_films — Search and filter the 74,000+ film catalog (1915 to today).
get_film — Full canonical record for one film by IMDb id (e.g.
get_similar_films — Films similar to a given IMDb id, from curated similarity data.
get_poster_analysis — Structured visual analysis of a film's theatrical poster: design quality, mood, composition, color, typography, genre signals, standout elements.
recommend_films — Content-based recommendations from liked (and optionally disliked) films.
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.
search_scripts — Browse the 1,571-screenplay research set, ranked into tiers S (exceptional) through E.
get_script — One ranked screenplay by IMDb id: tier, rank, points, and its full 20-feature measurement vector.