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 (
    51480, 51479, 132, 3, 2, 66, 133, 51471, 
    51472, 51470, 51529, 51459, 51457, 
    51460, 51501, 51464, 51478, 51469, 
    51486, 51467, 51461, 51475, 51477, 
    51473, 51458, 51463, 51516, 51532, 
    51492, 51514, 51468, 51476, 51491, 
    51513, 51474, 51462, 51502, 51465, 
    51515, 51466, 51485, 51518, 51528, 
    51527, 51482, 51512, 51493, 51511, 
    51505, 51535
  ) 
  AND cscart_seo_names.type = "p" 
  AND cscart_seo_names.dispatch = "" 
  AND cscart_seo_names.lang_code = 'ru' 
  AND (
    cscart_seo_names.company_id = 1 
    OR cscart_seo_names.company_id = 0
  )

Query time 0.00098

JSON explain

{
  "query_block": {
    "select_id": 1,
    "cost_info": {
      "query_cost": "70.01"
    },
    "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": 100,
      "rows_produced_per_join": 100,
      "filtered": "100.00",
      "index_condition": "((`test_uchur_k`.`cscart_seo_names`.`object_id` in (51480,51479,132,3,2,66,133,51471,51472,51470,51529,51459,51457,51460,51501,51464,51478,51469,51486,51467,51461,51475,51477,51473,51458,51463,51516,51532,51492,51514,51468,51476,51491,51513,51474,51462,51502,51465,51515,51466,51485,51518,51528,51527,51482,51512,51493,51511,51505,51535)) and (`test_uchur_k`.`cscart_seo_names`.`type` = 'p') and (`test_uchur_k`.`cscart_seo_names`.`dispatch` = '') and (`test_uchur_k`.`cscart_seo_names`.`lang_code` = 'ru') and ((`test_uchur_k`.`cscart_seo_names`.`company_id` = 1) or (`test_uchur_k`.`cscart_seo_names`.`company_id` = 0)))",
      "cost_info": {
        "read_cost": "60.01",
        "eval_cost": "10.00",
        "prefix_cost": "70.01",
        "data_read_per_join": "169K"
      },
      "used_columns": [
        "name",
        "object_id",
        "company_id",
        "type",
        "dispatch",
        "path",
        "lang_code"
      ]
    }
  }
}