The VictoriaMetrics MCP Server facilitates efficient data collection, storage, and querying for VictoriaMetrics monitoring system. It supports metrics ingestion through multiple protocols and provides APIs for querying time series data, enhancing monitoring and analytics.
Added on:
Created by:
Apr 24 2025
The VictoriaMetrics MCP Server facilitates efficient data collection, storage, and querying for VictoriaMetrics monitoring system. It supports metrics ingestion through multiple protocols and provides APIs for querying time series data, enhancing monitoring and analytics.
Added on:
Created by:
Apr 24 2025
jackyin
Featured
What is VictoriaMetrics MCP Server?
This MCP Server for VictoriaMetrics enables seamless collection and management of monitoring metrics. It supports data ingestion via direct write APIs and Prometheus format, allowing flexible data inputs. Users can execute complex PromQL queries, retrieve current metric values, and explore label information. It acts as an intermediary to streamline metrics management, making it suitable for large-scale monitoring environments. The server assists in efficient data storage, high-performance querying, and easy integration with other monitoring tools, thus enhancing observability and system health analysis.
Who will use VictoriaMetrics MCP Server?
- DevOps Engineers
- System Administrators
- Monitoring System Integrators
- Developers working with VictoriaMetrics
How to use the VictoriaMetrics MCP Server?
- Step1: Set up the MCP server environment
- Step2: Configure data ingestion endpoints (e.g., vm_data_write, prometheus_write)
- Step3: Send metrics data using supported APIs or formats
- Step4: Query metrics with PromQL using vm_query or vm_query_range
- Step5: Retrieve label information with vm_labels and vm_label_values
VictoriaMetrics MCP Server's Core Features & Benefits
The Core Features
- Data write (vm_data_write)
- Prometheus data import (vm_prometheus_write)
- Query over range (vm_query_range)
- Current value query (vm_query)
- Label management (vm_labels, vm_label_values)
The Benefits
- Supports high-performance metrics ingestion
- Flexible querying capabilities
- Easy integration with Prometheus
- Efficient label management
- Suitable for large-scale monitoring
VictoriaMetrics MCP Server's Main Use Cases & Applications
- Metrics ingestion for cloud infrastructure
- Real-time monitoring dashboards
- Performance analysis and alerting
- Historical data analysis
- Integration with DevOps pipelines
FAQs of VictoriaMetrics MCP Server
Developer
- yincongcyincong
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