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VictoriaMetrics
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VictoriaMetrics/mcp-victoriametrics

The implementation of Model Context Protocol (MCP) server for VictoriaMetrics

Go ◇ ai Apache-2.0
★243STARS
⑂38FORKS
!17ISSUES
🏆#17,621GLOBAL RANK
🔥2DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

mcp-victoriametrics is mcp-victoriametrics is an open-source project written in Go: The implementation of Model Context Protocol (MCP) server for VictoriaMetrics..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), VictoriaMetrics/mcp-victoriametrics has accumulated 243 GitHub stars and 38 forks. It is written in Go, licensed under Apache-2.0, and ranks #17,621 globally. It is actively maintained with the latest commit recorded on Nov 11, 2026.”
Repository VictoriaMetrics/mcp-victoriametrics ↗
Primary Category ai
Language & Stack Go
Software License Apache-2.0
Community Traction ★ 243 stars · ⑂ 38 forks · #17,621 globally
Maintenance ● Active (Last commit: Nov 11, 2026) · 17 open issues
Target Audience Developers and engineering teams building with Go, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 93/100 · Grade A+
✅
Is mcp-victoriametrics actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, mcp-victoriametrics is actively maintained. Continuous telemetry recorded the last code commit on Nov 11, 2026 (2 days ago). Supported by 243 stars and 38 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 11, 2026
2 days since last push
Issue Backlog
17 Open Issues
Healthy Issue Cadence
Community Backing
38 Forks
243 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for VictoriaMetrics/mcp-victoriametrics
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,891

MOST-STARRED Go

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

mcp-victoriametrics gained 10 stars in the last 30 days, about 1 a day, and now has 243. It is about 2 years old and has averaged roughly 122 stars a year. It ranks #1,891 among Go repositories and #17,621 across all languages on GitHubRepo.

Trending Record

mcp-victoriametrics has maintained a continuous presence across global trending indexes, peaking at #18264. Below is the 30-day activity profile:

💡 Overview

mcp-victoriametrics is an open-source project written in Go: The implementation of Model Context Protocol (MCP) server for VictoriaMetrics.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, mcp, mcp-server. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Go for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ go install github.com/VictoriaMetrics/mcp-victoriametrics@latest

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Go >= 1.21 runtime environment

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

mcp-victoriametrics coordinates its core functionality through a modular Go pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with mcp-victoriametrics.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install mcp-victoriametrics using your package manager: `go install github.com/VictoriaMetrics/mcp-victoriametrics@latest`

2

Initialize your project workspace or configuration file for mcp-victoriametrics.

3

Import mcp-victoriametrics into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `mcp-victoriametrics --help` to verify successful setup.

👍 Strengths

Active community backing with 243 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Go for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Go and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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ollama/ollama ★ 186.6K Go

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golang/go ★ 139.9K Go

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👥 Who Should Use This

Developers and engineering teams building with Go, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

VictoriaMetrics/mcp-victoriametrics is currently ranked #17,621 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#17,588 keremerkan/ascelerate Swift ★ 244 Compare ↗
#17,588 sashkinbro/EmuCoreX C++ ★ 244 Compare ↗
#17,588 NVIDIA/NeMo-Relay Rust ★ 244 Compare ↗
#17,588 instruktlabs/kiln TypeScript ★ 244 Compare ↗
#17,588 themartianapp/herdrup Swift ★ 244 Compare ↗
#17,621 VictoriaMetrics/mcp-victoriametrics This Project Go ★ 243
#17,621 gabriel/as3httpclient ActionScript ★ 243 Compare ↗
#17,621 nofxx/georuby Ruby ★ 243 Compare ↗
#17,621 dready92/PHP-on-Couch PHP ★ 243 Compare ↗
#17,621 bwhite/hadoopy C ★ 243 Compare ↗
#17,621 tbtlr/def.js JavaScript ★ 243 Compare ↗
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Frequently Asked Questions

What does mcp-victoriametrics do? +

The implementation of Model Context Protocol (MCP) server for VictoriaMetrics

Is mcp-victoriametrics actively maintained in 2026? +

Yes, mcp-victoriametrics is actively maintained. The latest code push was recorded on Nov 11, 2026 (2 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 243 stars and 17 open issues.

What language is mcp-victoriametrics written in? +

The primary language is Go. Topics include: ai, mcp, mcp-server, monitoring, observability.

How many stars does mcp-victoriametrics have? +

mcp-victoriametrics has 243 stars and 38 forks on GitHub.

How does mcp-victoriametrics rank among GitHub repositories? +

With 243 stars, VictoriaMetrics/mcp-victoriametrics is ranked #17,621 globally across all repositories tracked on GitHubRepo and #1,891 among Go projects.

What license is mcp-victoriametrics distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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