Developer tools · MCP server
MCP victoriametrics: MCP server, setup and security
MCP victoriametrics is an open-source MCP server that lets an AI agent access the VictoriaMetrics API and its documentation through MCP. Its repository has 240 stars and its last commit is from October 24, 2026 and it is licensed under Apache-2.0.
What MCP victoriametrics does
According to its repository: “MCP Server for VictoriaMetrics. Provides integration with VictoriaMetrics API and documentation”
An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. MCP victoriametrics is listed under Developer tools, a category of 475 servers in the directory, where it ranks #103 by stars.
Topics declared by the repository: monitoring, observability, victoriametrics, rag.
Installing and connecting MCP victoriametrics
Distribution modes declared in the official MCP registry:
- Docker (OCI) image
Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: Go.
The registry lists 2 secret variables to provide (API key, access token). Keep them in the client's environment variables, never in a shared file or a repository.
Security: what to check
An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.
Points found for MCP victoriametrics:
- Secrets: the server acts with your credentials. Create a dedicated key with minimum rights and an expiry date.
Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.
Project activity and maintenance
Created on May 8, 2025, the VictoriaMetrics/mcp-victoriametrics repository has 240 stars and 35 forks, with 11 open issues. It has more stars than 80% of the servers in the directory. It received changes this month. Version published in the registry: 1.120.1 (March 19, 2026).
Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.
Verdict
MCP victoriametrics is a reasonable choice; check the points below before connecting it.
Strengths
- Active project: recent commit
- Widely followed: 240 stars
- Listed in the official MCP registry
- Permissive licence (Apache-2.0)
Limitations
- Requires an API key or token
Avoid if…
- You do not want to give credentials to an agent
Alternatives
- Radar Kubernetes MCP Server3.9K ★
- Repowise7.9K ★
- Jscpd6.4K ★
- Apify MCP server12.9K ★
- Codebase Memory47.4K ★
- PostHog MCP Server40.4K ★
Learn more
Frequently asked questions
How do I install MCP victoriametrics?
MCP victoriametrics is distributed as Docker (OCI) image. Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of VictoriaMetrics/mcp-victoriametrics.
Is MCP victoriametrics free?
The code is published under the Apache-2.0 licence and can be used free of charge. It needs an API key: the service it connects to may be paid.
Is MCP victoriametrics safe?
Points to watch: secrets. Give it minimum rights and approve sensitive actions.
Is it an official server?
Nothing says so: it is a project published by VictoriaMetrics on GitHub. Check who maintains it before giving it access.
What are the alternatives to MCP victoriametrics?
In the same category: Radar Kubernetes MCP Server, Repowise, Jscpd, and Apify MCP server. Radar Kubernetes MCP Server and Repowise score higher on our grid.
Related articles
- Build your own MCP server in 30 minutesOctober 24, 2026
- Automate your inbox with an AI agentOctober 18, 2026
- MCP, A2A, and tool calling: agent protocols explainedOctober 17, 2026
- Build an AI agent with n8n, without codingOctober 16, 2026
Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score