tmdb.movies.similar
Get movie recommendations based on a movie ID — similar genres, themes, cast (TMDB)
This record as markdown: /tools/io-github-whiteknightonhorse-apibase/tmdb.movies.similar.md
What tmdb.movies.similar does on Apibase
AI agents call tmdb.movies.similar to retrieve information from Apibase without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
id | integer | Yes | TMDB movie ID to get recommendations for |
page | integer | — | Page number (1-500, default 1) |
language | string | — | ISO 639-1 language code (e.g. "en-US"). Default: en-US |
Parameters from the server's own tool schema.
Why tmdb.movies.similar is rated Low
Retrieves read-only movie recommendation data with no side effects or data modification.
From the tool's definition Get movie recommendations based on a movie ID — similar genres
Attacks that exploit this kind of access
The rule that runs tmdb.movies.similar safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Apibase, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For tmdb.movies.similar, this is the rule to start with:
tmdb.movies.similar is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Apibase, apply this rule, and every tmdb.movies.similar call is checked against it from then on.
Questions about tmdb.movies.similar
Get movie recommendations based on a movie ID — similar genres, themes, cast (TMDB). It is categorised as a Read tool in the Apibase MCP Server, which means it retrieves data without modifying state.
tmdb.movies.similar accepts 3 parameters: id, page, language. Required: id. The full parameter table on this page comes from the server's own tool schema.
Register the Apibase MCP server in PolicyLayer and add a rule for tmdb.movies.similar: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Apibase. Nothing to install.
tmdb.movies.similar is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the tmdb.movies.similar rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for tmdb.movies.similar. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
tmdb.movies.similar is provided by the Apibase MCP server (apibase-mcp-client). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Apibase, and thousands of servers like it.
This server
Across the catalogue