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  1. Home
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  3. MCP Victoriametrics
MCP Victoriametrics logo
Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 4:45:25 PM

MCP Victoriametrics

User RatingsBe the first to rate and review this MCP server!
View Repository231 GitHub StarsTotal stargazers on GitHub for the source repository (231 stars).Visit Website
victoriametricsmonitoringobservabilitymetricsdebugging

Query, inspect, and debug VictoriaMetrics data, rules, configuration, and documentation through MCP.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "victoriametrics-community-mcp-victoriametrics": {
      "url": "https://play-mcp.victoriametrics.com/mcp"
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ“Š More in Monitoring

Overview

VictoriaMetrics-Community/mcp-victoriametrics MCP server exposes VictoriaMetrics APIs and embedded documentation through Model Context Protocol. It supports read-only metric queries, metadata exploration, alert and recording rule analysis, query inspection, configuration debugging, and cardinality analysis. Run it against a VictoriaMetrics single-node, cluster, or Cloud instance when an AI client needs observability data or VictoriaMetrics-specific guidance. A public Streamable HTTP instance is also available for testing with the VictoriaMetrics Playground.

Use cases

β€’Query time-series metrics for an incident
β€’Inspect alerting and recording rules
β€’Trace and explain PromQL queries
β€’Debug relabeling and retention settings
β€’Search VictoriaMetrics documentation offline

Key features

β€’Read-only VictoriaMetrics API access
β€’Metric, label, and series exploration
β€’Alert and recording rule analysis
β€’Query tracing, formatting, and explanation
β€’Cardinality and usage inspection
β€’Embedded offline documentation search

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Victoriametrics.

Extracted Tool Capabilities
Read-only VictoriaMetrics API access
Metric, label, and series exploration
Alert and recording rule analysis
Query tracing, formatting, and explanation
Cardinality and usage inspection
Embedded offline documentation search

How MCP Victoriametrics works

What VictoriaMetrics-Community/mcp-victoriametrics MCP server does

VictoriaMetrics-Community/mcp-victoriametrics MCP server connects an MCP client to a VictoriaMetrics deployment and exposes most of the read-only capabilities available in VMUI. It is intended for monitoring, observability, and troubleshooting workflows where an agent needs to inspect metrics or understand VictoriaMetrics configuration.

The server can query time-series data, enumerate metrics and labels, retrieve label values, and export series. It also supports investigation of alerting and recording rules, active alerts, instance parameters, metric cardinality, and usage statistics. Query-focused functions include analysis, tracing, formatting, and explanation. Configuration-oriented functions cover relabeling rules, downsampling, and retention policies.

An embedded copy of VictoriaMetrics documentation can be searched without network access. VictoriaMetrics Cloud is supported in addition to single-node and clustered VictoriaMetrics installations.

How it works

The process translates MCP requests from a compatible client into requests against the configured VictoriaMetrics instance and its documented APIs. Its tools are primarily read-only, so the material describes inspection and analysis rather than data mutation. Results depend on the permissions and behavior of the connected VictoriaMetrics deployment, as well as the MCP client and model handling the responses.

The server can run in different transport modes, including stdio and Streamable HTTP. In Streamable HTTP mode, the root endpoint provides setup instructions and a tool-inspection UI. A hosted test endpoint at https://play-mcp.victoriametrics.com/mcp connects to the public VictoriaMetrics Playground and is intended for MCP clients rather than ordinary browser visits.

Setup and configuration

VictoriaMetrics-Community/mcp-victoriametrics MCP server requires access to a VictoriaMetrics or VictoriaMetrics Cloud instance. Installation options include downloading a release binary, running the published container image, building from source with Go, or using the VictoriaMetrics MCP Helm chart.

Configuration is supplied through environment variables. VM_INSTANCE_ENTRYPOINT identifies the root URL of a vmsingle or vmselect endpoint, while VM_INSTANCE_TYPE specifies the deployment type. The configuration also documents VMC_API_KEY for VictoriaMetrics Cloud access. Transport and listener settings include MCP_SERVER_MODE and MCP_LISTEN_ADDR; the Docker example uses the sse mode and port 8080. The README states that Go 1.26 or newer is needed when building from source.

A Docker-based HTTP setup can use the published image ghcr.io/victoriametrics/mcp-victoriametrics. Replace the example instance settings with the endpoint and type for the target deployment. For a local client using stdio, use the downloaded binary or a locally built binary according to that client’s MCP configuration format.

Tools and capabilities

Supported workflows include:

  • Run metric queries and inspect returned time-series data.
  • List metrics, labels, label values, and complete series.
  • Examine alerting rules, recording rules, and alerts.
  • Review instance parameters and metric cardinality.
  • Inspect metric usage statistics.
  • Trace, explain, analyze, and prettify queries.
  • Test relabeling rules and investigate downsampling or retention settings.
  • Search the bundled VictoriaMetrics documentation offline.

The README notes that clients with graph-rendering support may be able to draw query results.

Limitations and notes

The documented API surface is described as almost entirely read-only; the supplied material does not establish write or mutation operations. Access to useful data requires a reachable VictoriaMetrics or VictoriaMetrics Cloud instance, except when using the public test deployment. The public endpoint is tied to the VictoriaMetrics Playground and is intended for evaluation rather than ordinary browser access.

The quality of responses depends on the MCP client and the model in use. The README also notes that the server can be combined with other observability or documentation-search MCP servers, but those are separate components and are not included here.

Read the full README β†’View source on GitHub β†’

Related MCP Servers

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
231
Stargazers on the source repository.
Last commit
20d ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about MCP Victoriametrics

Download a release binary, run the published Docker image, build it from source with Go 1.26 or newer, or install it with the VictoriaMetrics MCP Helm chart.

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Technical Specs & Signals

CategoryπŸ“ŠMonitoring
PricingFree
More technical detailsExpand β–Ύ
TransportSSE (Remote)
AuthAPI key
LicenseApache-2.0
ClientsClaude Desktop
Last updatedSep 7, 2026
4/5 checks healthy over the last 32d
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars231
GitHub Star CountTotal stargazers on GitHub representing community popularity (231 stars).
Last commit20d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 23, 2026
56Quality signal: Good Β· 56/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools24/30
Adoption & activity8/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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