MCPVault

vmanomaly_timeseries_characteristics

MCP tool from MCP Vmanomaly by VictoriaMetrics

Profile sampled query results for trends, seasonalities, spikiness, and gaps

How to use it

vmanomaly_timeseries_characteristics is exposed by the MCP Vmanomaly MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), and the vmanomaly_timeseries_characteristics tool becomes available to the model automatically. See the full listing for setup details and every tool this server provides.

Install MCP Vmanomaly

$go install github.com/VictoriaMetrics/mcp-vmanomaly/cmd/mcp-vmanomaly@vX.Y.Z
FULL MCP VMANOMALY LISTING

Other tools in MCP Vmanomaly (15)

vmanomaly_cancel_autotune_task

Request cooperative cancellation of an autotune task

vmanomaly_check_compatibility

Check if persisted state is compatible with runtime version

vmanomaly_create_autotune_task

Start tuning one requested model class on sampled series

vmanomaly_generate_alert_rule

Generate VMAlert rule YAML for anomaly score alerting

vmanomaly_get_autotune_task

Poll autotune progress and retrieve a completed recommendation

vmanomaly_get_buildinfo

Get build information (version, build time, Go version)

vmanomaly_get_metrics

Get vmanomaly server metrics in Prometheus format

vmanomaly_get_model_schema

Get JSON schema for a specific model type

vmanomaly_get_server_models

Get configured server models and their query attachments

vmanomaly_get_server_queries

Get configured server query aliases and expressions

vmanomaly_health_check

Check vmanomaly server health status

vmanomaly_list_models

List models exposed to VMUI and other UI-oriented flows

vmanomaly_search_docs

Full-text search across vmanomaly documentation with fuzzy matching

vmanomaly_validate_config

Validate complete vmanomaly YAML configuration

vmanomaly_validate_model_config

Validate model configuration before using it