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 (
    51194, 51193, 51192, 51191, 51190, 51189, 
    19, 51201, 51200, 51199, 51198, 51197, 
    51196, 51195, 131, 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, 9, 59, 13, 51346, 118, 84, 
    51347, 85, 61, 51350, 123, 15, 95
  ) 
  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 0.00095

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 (51194,51193,51192,51191,51190,51189,19,51201,51200,51199,51198,51197,51196,51195,131,111,51212,144,51215,51214,51213,51444,51445,51446,51447,51220,51219,51218,51217,51216,146,51448,51449,51231,51230,51229,51228,51227,51226,51225,109,9,59,13,51346,118,84,51347,85,61,51350,123,15,95)) 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"
      ]
    }
  }
}