SELECT 
  cscart_seo_names.object_id AS product_id, 
  cscart_seo_names.name AS seo_name, 
  cscart_seo_names.path AS seo_path 
FROM 
  cscart_seo_names 
WHERE 
  cscart_seo_names.object_id IN (
    12916, 12921, 12956, 12958, 13014, 13028, 
    13040, 13052, 12960, 12974, 12988, 
    13000, 13148, 13153, 12928, 12926, 
    12942, 3135, 12850, 12869, 12876, 12896, 
    12900, 12909, 12752, 12802, 3403, 3404, 
    3405, 3406, 3408, 3409, 6930, 6931, 
    6932, 6933, 6934, 6935, 6936, 3407, 
    2666, 3845, 12796, 12797, 2667, 2668, 
    2669, 2670, 3846, 3847, 3848, 3849, 
    3850, 6258, 12795
  ) 
  AND cscart_seo_names.type = "p" 
  AND cscart_seo_names.dispatch = "" 
  AND cscart_seo_names.lang_code = 'en' 
  AND (
    cscart_seo_names.company_id = 1 
    OR cscart_seo_names.company_id = 0
  )

Query time 0.00206

JSON explain

{
  "query_block": {
    "select_id": 1,
    "cost_info": {
      "query_cost": "77.01"
    },
    "table": {
      "table_name": "cscart_seo_names",
      "access_type": "range",
      "possible_keys": [
        "PRIMARY",
        "dispatch"
      ],
      "key": "PRIMARY",
      "used_key_parts": [
        "object_id",
        "type",
        "dispatch",
        "lang_code",
        "company_id"
      ],
      "key_length": "210",
      "rows_examined_per_scan": 110,
      "rows_produced_per_join": 110,
      "filtered": "100.00",
      "index_condition": "((`test2_gaseus`.`cscart_seo_names`.`object_id` in (12916,12921,12956,12958,13014,13028,13040,13052,12960,12974,12988,13000,13148,13153,12928,12926,12942,3135,12850,12869,12876,12896,12900,12909,12752,12802,3403,3404,3405,3406,3408,3409,6930,6931,6932,6933,6934,6935,6936,3407,2666,3845,12796,12797,2667,2668,2669,2670,3846,3847,3848,3849,3850,6258,12795)) and (`test2_gaseus`.`cscart_seo_names`.`type` = 'p') and (`test2_gaseus`.`cscart_seo_names`.`dispatch` = '') and (`test2_gaseus`.`cscart_seo_names`.`lang_code` = 'en') and ((`test2_gaseus`.`cscart_seo_names`.`company_id` = 1) or (`test2_gaseus`.`cscart_seo_names`.`company_id` = 0)))",
      "cost_info": {
        "read_cost": "66.01",
        "eval_cost": "11.00",
        "prefix_cost": "77.01",
        "data_read_per_join": "186K"
      },
      "used_columns": [
        "name",
        "object_id",
        "company_id",
        "type",
        "dispatch",
        "path",
        "lang_code"
      ]
    }
  }
}