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 (
    421, 427, 408, 382, 418, 1930, 400, 424, 
    1931, 381, 1529, 401, 1465, 1932, 1933, 
    1935, 428, 415, 391, 406, 439, 390, 393, 
    394, 1929, 396, 397, 398, 399, 422, 434, 
    383, 412, 1927, 419, 430, 431, 432, 1928, 
    429, 384, 1934, 395, 420, 385, 405, 410, 
    413, 417, 1937, 414, 425, 407, 389, 402, 
    388, 426, 409, 404, 1936, 387, 386, 416, 
    441, 322
  ) 
  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 0.00169

JSON explain

{
  "query_block": {
    "select_id": 1,
    "cost_info": {
      "query_cost": "312.01"
    },
    "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": 130,
      "rows_produced_per_join": 130,
      "filtered": "100.00",
      "index_condition": "((`eshopuga_upgr_4122`.`cscart_seo_names`.`object_id` in (421,427,408,382,418,1930,400,424,1931,381,1529,401,1465,1932,1933,1935,428,415,391,406,439,390,393,394,1929,396,397,398,399,422,434,383,412,1927,419,430,431,432,1928,429,384,1934,395,420,385,405,410,413,417,1937,414,425,407,389,402,388,426,409,404,1936,387,386,416,441,322)) and (`eshopuga_upgr_4122`.`cscart_seo_names`.`type` = 'p') and (`eshopuga_upgr_4122`.`cscart_seo_names`.`dispatch` = '') and (`eshopuga_upgr_4122`.`cscart_seo_names`.`lang_code` = 'en') and ((`eshopuga_upgr_4122`.`cscart_seo_names`.`company_id` = 1) or (`eshopuga_upgr_4122`.`cscart_seo_names`.`company_id` = 0)))",
      "cost_info": {
        "read_cost": "286.01",
        "eval_cost": "26.00",
        "prefix_cost": "312.01",
        "data_read_per_join": "220K"
      },
      "used_columns": [
        "name",
        "object_id",
        "company_id",
        "type",
        "dispatch",
        "path",
        "lang_code"
      ]
    }
  }
}