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 (
    51297, 51296, 139, 51300, 51299, 51298, 
    51304, 51303, 51302, 51301, 138, 51443, 
    51309, 51308, 51307, 51306, 51305, 
    129, 54, 51313, 51312, 51314, 51311, 
    51310, 51361, 30, 51362, 51363, 51364, 
    51365, 31, 51366, 51367, 51368, 51369, 
    46, 51370, 51371, 51372, 51373, 51452, 
    51453, 42, 51376, 51377, 51378, 51379, 
    51380, 88, 51395, 51396, 51397, 51555, 
    51556
  ) 
  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 0.00151

JSON explain

{
  "query_block": {
    "select_id": 1,
    "cost_info": {
      "query_cost": "75.61"
    },
    "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": 108,
      "rows_produced_per_join": 108,
      "filtered": "100.00",
      "index_condition": "((`test_uchur_k`.`cscart_seo_names`.`object_id` in (51297,51296,139,51300,51299,51298,51304,51303,51302,51301,138,51443,51309,51308,51307,51306,51305,129,54,51313,51312,51314,51311,51310,51361,30,51362,51363,51364,51365,31,51366,51367,51368,51369,46,51370,51371,51372,51373,51452,51453,42,51376,51377,51378,51379,51380,88,51395,51396,51397,51555,51556)) 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": "64.81",
        "eval_cost": "10.80",
        "prefix_cost": "75.61",
        "data_read_per_join": "183K"
      },
      "used_columns": [
        "name",
        "object_id",
        "company_id",
        "type",
        "dispatch",
        "path",
        "lang_code"
      ]
    }
  }
}