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TMDB MCP Server

Get similar titles

get_similar
Read-only

Retrieve titles TMDB flags as similar to a movie or TV show based on shared genres and keywords. Use it for genre-adjacent picks when behavioral recommendations fall short.

Instructions

Get titles TMDB considers similar to a given movie or TV show, based on shared genres and keywords — a blunter heuristic than get_movie_recommendations'/get_tv_recommendations' behavioral (co-viewing) data, so results are often thematically noisy (verified live: The Matrix's first page mixes Videodrome and Dune with The Man with the Golden Gun). Returned exactly as TMDB ranks them, 20 per page; the list runs into the whole catalog (total_results 20001 for The Matrix), so only the first page or two are worth reading. Try recommendations first for thematically closer picks; use this when you specifically want genre/keyword-adjacent titles. Get the id from search_movies/search_tv.

Input Schema

NameRequiredDescriptionDefault
idYesTMDB numeric id.
pageNo1-based page number for pagination (TMDB returns up to 20 results per page, max 500).
media_typeYesMedia type: 'movie' or 'tv'.

Output Schema

NameRequiredDescriptionDefault
pageYes
resultsYes
total_pagesYes
total_resultsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.14.0
    • changedOutput schema / properties / results / items / oneOf
      Previous value: -[
      -  {
      -    "additionalProperties": false,
      -    "properties": {
      -      "id": {
      -        "type": "number"
      -      },
      -      "media_type": {
      -        "const": "movie",
      -        "type": "string"
      -      },
      -      "original_title": {
      -        "type": "string"
      -      },
      -      "overview": {
      -        "anyOf": [
      -          {
      -            "type": "string"
      -          },
      -          {
      -            "type": "null"
      -          }
      -        ]
      -      },
      -      "poster_url": {
      -        "anyOf": [
      -          {
      -            "type": "string"
      -          },
      -          {
      -            "type": "null"
      -          }
      -        ]
      -      },
      -      "release_date": {
      -        "anyOf": [
      -          {
      -            "format": "date",
      -            "pattern": "^(?:(?:\\d\\d[2468][048]|\\d\\d[13579][26]|\\d\\d0[48]|[02468][048]00|[13579][26]00)-02-29|\\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\\d|30)|(?:02)-(?:0[1-9]|1\\d|2[0-8])))$",
      -            "type": "string"
      -          },
      -          {
      -            "type": "null"
      -          }
      -        ],
      -        "default": null
      -      },
      -      "title": {
      -        "type": "string"
      -      },
      -      "vote_average": {
      -        "anyOf": [
      -          {
      -            "type": "number"
      -          },
      -          {
      -            "type": "null"
      -          }
      -        ]
      -      },
      -      "vote_count": {
      -        "anyOf": [
      -          {
      -            "type": "number"
      -          },
      -          {
      -            "type": "null"
      -          }
      -        ]
      -      },
      -      "year": {
      -        "anyOf": [
      -          {
      -            "type": "number"
      -          },
      -          {
      -            "type": "null"
      -          }
      -        ]
      -      }
      -    },
      -    "required": [
      -      "id",
      -      "media_type",
      -      "year",
      -      "release_date",
      -      "vote_average",
      -      "vote_count",
      -      "overview",
      -      "poster_url"
      -    ],
      -    "type": "object"
      -  },
      -  {
      -    "additionalProperties": false,
      -    "properties": {
      -      "first_air_date": {
      -        "anyOf": [
      -          {
      -            "format": "date",
      -            "pattern": "^(?:(?:\\d\\d[2468][048]|\\d\\d[13579][26]|\\d\\d0[48]|[02468][048]00|[13579][26]00)-02-29|\\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\\d|30)|(?:02)-(?:0[1-9]|1\\d|2[0-8])))$",
      -            "type": "string"
      -          },
      -          {
      -            "type": "null"
      -          }
      -        ],
      -        "default": null
      -      },
      -      "id": {
      -        "type": "number"
      -      },
      -      "media_type": {
      -        "const": "tv",
      -        "type": "string"
      -      },
      -      "name": {
      -        "type": "string"
      -      },
      -      "original_name": {
      -        "type": "string"
      -      },
      -      "overview": {
      -        "anyOf": [
      -          {
      -            "type": "string"
      -          },
      -          {
      -            "type": "null"
      -          }
      -        ]
      -      },
      -      "poster_url": {
      -        "anyOf": [
      -          {
      -            "type": "string"
      -          },
      -          {
      -            "type": "null"
      -          }
      -        ]
      -      },
      -      "vote_average": {
      -        "anyOf": [
      -          {
      -            "type": "number"
      -          },
      -          {
      -            "type": "null"
      -          }
      -        ]
      -      },
      -      "vote_count": {
      -        "anyOf": [
      -          {
      -            "type": "number"
      -          },
      -          {
      -            "type": "null"
      -          }
      -        ]
      -      },
      -      "year": {
      -        "anyOf": [
      -          {
      -            "type": "number"
      -          },
      -          {
      -            "type": "null"
      -          }
      -        ]
      -      }
      -    },
      -    "required": [
      -      "id",
      -      "media_type",
      -      "year",
      -      "first_air_date",
      -      "vote_average",
      -      "vote_count",
      -      "overview",
      -      "poster_url"
      -    ],
      -    "type": "object"
      -  }
      -]New value: +[
      +  {
      +    "additionalProperties": false,
      +    "properties": {
      +      "id": {
      +        "type": "number"
      +      },
      +      "media_type": {
      +        "const": "movie",
      +        "type": "string"
      +      },
      +      "original_title": {
      +        "type": "string"
      +      },
      +      "overview": {
      +        "type": [
      +          "string",
      +          "null"
      +        ]
      +      },
      +      "poster_url": {
      +        "type": [
      +          "string",
      +          "null"
      +        ]
      +      },
      +      "release_date": {
      +        "anyOf": [
      +          {
      +            "format": "date",
      +            "pattern": "^(?:(?:\\d\\d[2468][048]|\\d\\d[13579][26]|\\d\\d0[48]|[02468][048]00|[13579][26]00)-02-29|\\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\\d|30)|(?:02)-(?:0[1-9]|1\\d|2[0-8])))$",
      +            "type": "string"
      +          },
      +          {
      +            "type": "null"
      +          }
      +        ],
      +        "default": null
      +      },
      +      "title": {
      +        "type": "string"
      +      },
      +      "vote_average": {
      +        "description": "TMDB's own 0-10 user score. A different audience and scale from the IMDb/RT/Metacritic scores get_movie/get_tv return as `ratings` — don't compare, average or substitute across the two.",
      +        "type": [
      +          "number",
      +          "null"
      +        ]
      +      },
      +      "vote_count": {
      +        "type": [
      +          "number",
      +          "null"
      +        ]
      +      },
      +      "year": {
      +        "type": [
      +          "number",
      +          "null"
      +        ]
      +      }
      +    },
      +    "required": [
      +      "id",
      +      "media_type",
      +      "year",
      +      "release_date",
      +      "vote_average",
      +      "vote_count",
      +      "overview",
      +      "poster_url"
      +    ],
      +    "type": "object"
      +  },
      +  {
      +    "additionalProperties": false,
      +    "properties": {
      +      "first_air_date": {
      +        "anyOf": [
      +          {
      +            "format": "date",
      +            "pattern": "^(?:(?:\\d\\d[2468][048]|\\d\\d[13579][26]|\\d\\d0[48]|[02468][048]00|[13579][26]00)-02-29|\\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\\d|30)|(?:02)-(?:0[1-9]|1\\d|2[0-8])))$",
      +            "type": "string"
      +          },
      +          {
      +            "type": "null"
      +          }
      +        ],
      +        "default": null
      +      },
      +      "id": {
      +        "type": "number"
      +      },
      +      "media_type": {
      +        "const": "tv",
      +        "type": "string"
      +      },
      +      "name": {
      +        "type": "string"
      +      },
      +      "original_name": {
      +        "type": "string"
      +      },
      +      "overview": {
      +        "type": [
      +          "string",
      +          "null"
      +        ]
      +      },
      +      "poster_url": {
      +        "type": [
      +          "string",
      +          "null"
      +        ]
      +      },
      +      "vote_average": {
      +        "description": "TMDB's own 0-10 user score. A different audience and scale from the IMDb/RT/Metacritic scores get_movie/get_tv return as `ratings` — don't compare, average or substitute across the two.",
      +        "type": [
      +          "number",
      +          "null"
      +        ]
      +      },
      +      "vote_count": {
      +        "type": [
      +          "number",
      +          "null"
      +        ]
      +      },
      +      "year": {
      +        "type": [
      +          "number",
      +          "null"
      +        ]
      +      }
      +    },
      +    "required": [
      +      "id",
      +      "media_type",
      +      "year",
      +      "first_air_date",
      +      "vote_average",
      +      "vote_count",
      +      "overview",
      +      "poster_url"
      +    ],
      +    "type": "object"
      +  }
      +]
  2. Addedv0.10.1
  3. Removedv0.8.0
  4. First observedv0.3.0

TDQS

A4.4/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds genuinely useful, non-annotation context: the heuristic is noisy, results come in TMDB rank order, 20 per page, and the list can run into the whole catalog. However, some of this overlaps the schema's pagination text, so the added value is real but not exceptional.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the core definition and the sibling comparison before the caveats. Dense but largely earning its place; the 'verified live' anecdote is illustrative but slightly verbose for a definition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present, return values needn't be explained, and the description still covers quality expectations, ordering, pagination limits, and id acquisition. Nothing an agent needs to call this correctly is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline would be 3, but the description adds value the schema lacks: it sources the id from search_movies/search_tv and frames page usage via the 'first page or two' caveat. The media_type/page semantics are otherwise left to the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource (get titles TMDB considers similar), the underlying basis (shared genres and keywords), and explicitly contrasts with get_movie_recommendations/get_tv_recommendations. An agent can distinguish this from its nearest siblings without inspecting either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives an explicit routing rule: try recommendations first for thematically closer picks, use this when you specifically want genre/keyword-adjacent titles. Also tells the agent how to obtain the required id (search_movies/search_tv), covering the only real prerequisite.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.