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 (
    111, 51212, 144, 51215, 51214, 51213, 
    51444, 51445, 51446, 51447, 51220, 
    51219, 51218, 51217, 51216, 146, 51448, 
    51449, 51231, 51230, 51229, 51228, 
    51227, 51226, 51225, 109, 51243, 51242, 
    51241, 51240, 51239, 36, 51253, 51252, 
    51251, 51250, 51249, 34, 51272, 51271, 
    51270, 51269, 51268, 51267, 51266, 
    145, 51273, 147, 51277, 51276, 51275, 
    51274
  ) 
  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 0.00108

JSON explain

{
  "query_block": {
    "select_id": 1,
    "cost_info": {
      "query_cost": "72.81"
    },
    "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": 104,
      "rows_produced_per_join": 104,
      "filtered": "100.00",
      "index_condition": "((`test_uchur_k`.`cscart_seo_names`.`object_id` in (111,51212,144,51215,51214,51213,51444,51445,51446,51447,51220,51219,51218,51217,51216,146,51448,51449,51231,51230,51229,51228,51227,51226,51225,109,51243,51242,51241,51240,51239,36,51253,51252,51251,51250,51249,34,51272,51271,51270,51269,51268,51267,51266,145,51273,147,51277,51276,51275,51274)) 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": "62.41",
        "eval_cost": "10.40",
        "prefix_cost": "72.81",
        "data_read_per_join": "176K"
      },
      "used_columns": [
        "name",
        "object_id",
        "company_id",
        "type",
        "dispatch",
        "path",
        "lang_code"
      ]
    }
  }
}