Mcp Victoriametrics
Natural language interface for VictoriaMetrics time series queries via MCP.
A practical MCP server for teams already running VictoriaMetrics. It simplifies PromQL exploration but doesn't replace dashboards or alerting. Best for on-call triage and onboarding new engineers.
- Site reliability engineers querying metrics in natural language
- Platform teams monitoring microservices health
- Observability engineers on-call for faster incident triage
- Developers new to PromQL learning queries through examples
- Non-technical users without basic understanding of metrics names and labels
- Real-time alerting or dashboarding (it's an interactive assistant, not a monitoring system)
- Heavy ad-hoc analysis requiring complex multi-step PromQL functions
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In short
Mcp Victoriametrics — Natural language interface for VictoriaMetrics time series queries via MCP. Best for Site reliability engineers querying metrics in natural language, Platform teams monitoring microservices health, Observability engineers on-call for faster incident triage. Free to use.
What's new in Mcp Victoriametrics
Checked 14 days agoAcross the latest 4 updates: 2 feature updates, 1 changelog entry and 1 news mention.
How VictoriaLogs Stores Your Logs in a Columnar Layout
Beginners' guide to VictoriaLogs disk storage: streams, daily partitions, immutable parts, blocks, columns, and index structure.
VictoriaMetrics May 2026 Ecosystem Updates
v1.144.0 with 15 bug fixes and 9 UX improvements; v1.143.0 adds native Prometheus histogram ingestion. First LTS for Operator.
Operator now has Long-Term Support (LTS) version
VictoriaMetrics Operator offers LTS starting with v0.68.x for stable, predictable upgrades.
How Airbnb Built a High-Volume Metrics Pipeline with OpenTelemetry and vmagent
Airbnb rebuilt observability with OpenTelemetry and vmagent, handling 100M samples/sec, 10x cost reduction.
Viability Score
How likely is Mcp Victoriametrics to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Natural language to PromQL query translation via MCP tools
- Check VictoriaMetrics health status
- List available time series matching label filters
- Execute instant queries (point-in-time metric values)
- Execute range queries (time-series data over a window)
- Retrieve PromQL documentation for learning query syntax
- Support for both single-node and cluster VictoriaMetrics deployments
- Open-source implementation with MIT license
- Easy installation via pip or npm
- Configurable endpoint and timeouts
- Compatible with any MCP client (Claude Desktop, etc.)
- Structured JSON outputs for easy integration
About Mcp Victoriametrics
Mcp VictoriaMetrics is an open-source implementation of the Model Context Protocol (MCP) server that bridges VictoriaMetrics' high-performance time series database with AI assistants. It enables users to query metrics, check health, list time series, and retrieve metadata using natural language commands through MCP-compatible clients like Claude Desktop. Designed for SREs, platform engineers, and observability teams, this tool eliminates the need to memorize PromQL syntax or VictoriaMetrics API endpoints. Instead, users describe their monitoring questions in plain English, and the MCP server translates them into precise VictoriaMetrics queries, returning structured results. The server connects to any running VictoriaMetrics single-node or cluster instance via HTTP and exposes MCP tools for health checks, metric search, instant queries, range queries, and series listing. It also provides detailed PromQL documentation to help users learn query language concepts. What sets Mcp VictoriaMetrics apart is its tight integration with the VictoriaMetrics ecosystem, support for both single-node and cluster deployments, and its role as a natural language interface for observability—reducing the learning curve for new team members and accelerating incident response.
Behind the Verdict
Mcp VictoriaMetrics is a focused tool that solves a real pain point: querying time series data without requiring deep PromQL knowledge. If your team already uses VictoriaMetrics and an MCP-compatible client like Claude Desktop, this server is easy to install via pip or npm and works out of the box. It translates natural language into PromQL instant queries, range queries, health checks, and metric listings—handy for incident response or learning. We'd reach for this when you're on-call and need a quick answer like 'what was my CPU usage for the last 5 minutes?' without opening a terminal or writing PromQL. It also helps new team members get comfortable with VictoriaMetrics by providing PromQL documentation alongside the query results. Where it falls short is scope: it's an interactive assistant, not a monitoring platform. You can't set alerts or build dashboards with it. And it relies on the quality of MCP client interpretation—ambiguous natural language might produce wrong queries. Also, non-technical users who don't understand metric names will struggle. Compared to alternatives like Grafana's Explore mode or direct PromQL editors, Mcp VictoriaMetrics lowers the barrier to entry but sacrifices precision for simplicity. For teams on Prometheus or other TSDBs, this tool is irrelevant. Overall, a nice utility for VictoriaMetrics users who want a conversational interface. If you're not in that ecosystem, skip it.
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Use Cases
- Ask 'what is the current CPU usage of host X' and get the exact metric value without writing PromQL.
- List all metrics matching a regex pattern to discover available data for a new service.
- Check VictoriaMetrics health during an incident to confirm the database is reachable.
- Retrieve the last 1 hour of latency metrics for a specific endpoint to troubleshoot slow responses.
- Learn PromQL by asking 'show me an example query for rate increase' and getting documentation back.
- Integrate with Claude Desktop to monitor deployment success by querying error rates after rollouts.
Limitations
- Relies on an external MCP client for the natural language interface; no standalone UI.
- Query complexity is limited by the MCP tool definitions (cannot chain multiple queries autonomously).
- Authentication support is basic (no token auth built-in, relies on VictoriaMetrics' own security).
Integrations
Resources & Guides
Official links
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