vmanomaly_timeseries_characteristics

MCP tool from MCP Vmanomaly by VictoriaMetrics

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

How to use it

Project documentation lists vmanomaly_timeseries_characteristics for the MCP Vmanomaly MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), then check which tools your installed version makes available. Tool availability can depend on configuration and credentials. A server handshake does not verify this tool’s behavior. See the full listing for setup details.

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