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 (
    130, 51106, 51107, 51112, 51111, 51110, 
    51109, 51108, 51182, 51180, 51179, 
    51178, 51177, 93, 10, 51232, 12, 51238, 
    51237, 51236, 51235, 51234, 51233, 
    51246, 51245, 51244, 35, 51248, 51247, 
    51256, 51255, 51254, 33, 32, 51281, 
    51280, 51279, 51278, 51282, 7, 16, 54, 
    51313, 51312, 51314, 51311, 51310, 
    89, 51390, 51391, 51392, 51393, 51394
  ) 
  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 0.00127

JSON explain

{
  "query_block": {
    "select_id": 1,
    "cost_info": {
      "query_cost": "74.21"
    },
    "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": 106,
      "rows_produced_per_join": 106,
      "filtered": "100.00",
      "index_condition": "((`test_uchur_k`.`cscart_seo_names`.`object_id` in (130,51106,51107,51112,51111,51110,51109,51108,51182,51180,51179,51178,51177,93,10,51232,12,51238,51237,51236,51235,51234,51233,51246,51245,51244,35,51248,51247,51256,51255,51254,33,32,51281,51280,51279,51278,51282,7,16,54,51313,51312,51314,51311,51310,89,51390,51391,51392,51393,51394)) 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": "63.61",
        "eval_cost": "10.60",
        "prefix_cost": "74.21",
        "data_read_per_join": "179K"
      },
      "used_columns": [
        "name",
        "object_id",
        "company_id",
        "type",
        "dispatch",
        "path",
        "lang_code"
      ]
    }
  }
}