Zilliz MCP Server

Query the metrics of a specific cluster. Args: cluster_id: ID of the target cluster start: Starting date and time in ISO 8601 timestamp format (optional, use with end) end: Ending date and time in ISO 8601 timestamp format (optional, use with start) period: Duration in ISO 8601 duration format (optional, use when start/end not set) granularity: Time interval for metrics reporting in ISO 8601 duration format (minimum PT30S) metric_queries: List of metric queries, each containing 'metricName' and 'stat' fields - metricName: Name of the metric. Available options: * CU_COMPUTATION - Compute unit computation usage * CU_CAPACITY - Compute unit capacity * STORAGE_USE - Storage usage * REQ_INSERT_COUNT - Insert request count * REQ_BULK_INSERT_COUNT - Bulk insert request count * REQ_UPSERT_COUNT - Upsert request count * REQ_DELETE_COUNT - Delete request count * REQ_SEARCH_COUNT - Search request count * REQ_QUERY_COUNT - Query request count * VECTOR_REQ_INSERT_COUNT - Vector insert request count * VECTOR_REQ_UPSERT_COUNT - Vector upsert request count * VECTOR_REQ_SEARCH_COUNT - Vector search request count * REQ_INSERT_LATENCY_P99 - Insert request latency P99 * REQ_BULK_INSERT_LATENCY_P99 - Bulk insert request latency P99 * REQ_UPSERT_LATENCY_P99 - Upsert request latency P99 * REQ_DELETE_LATENCY_P99 - Delete request latency P99 * REQ_SEARCH_LATENCY_P99 - Search request latency P99 * REQ_QUERY_LATENCY_P99 - Query request latency P99 * REQ_SUCCESS_RATE - Request success rate * REQ_FAIL_RATE - Request failure rate * REQ_FAIL_RATE_INSERT - Insert request failure rate * REQ_FAIL_RATE_BULK_INSERT - Bulk insert request failure rate * REQ_FAIL_RATE_UPSERT - Upsert request failure rate * REQ_FAIL_RATE_DELETE - Delete request failure rate * REQ_FAIL_RATE_SEARCH - Search request failure rate * REQ_FAIL_RATE_QUERY - Query request failure rate * ENTITIES_LOADED - Number of loaded entities * ENTITIES_INSERT_RATE - Entity insert rate * COLLECTIONS_COUNT - Collection count * ENTITIES_COUNT - Total entity count - stat: Statistical method (AVG for average, P99 for 99th percentile - P99 only valid for latency metrics) Returns: Dict containing cluster metrics data Example: { "code": 0, "data": { "results": [ { "name": "CU_COMPUTATION", "stat": "AVG", "unit": "percent", "values": [ { "timestamp": "2024-06-30T16:09:53Z", "value": "1.00" } ] } ] } }