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  5. Mctl MCP
Mctl MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 1:45:43 PM

Mctl MCP

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time — check back soon.
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website
kubernetesgitopsclouddevops

MCP server for managing Kubernetes services, provisioning databases, viewing logs, and automating GitOps workflows.

Quick Install

Automated & IDE Setup

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

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON ▾

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": {
    "mctlhq-mctl-mcp": {
      "url": "https://mctl.ai/mcp"
    }
  }
}

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

Install Directory Badge Claim listing Alternatives☁️ More in Cloud Platforms

Overview

mctl provides an AI-native control plane for Kubernetes and GitOps through more than 30 MCP tools. Use it when an agent needs to manage services, provision databases, or inspect logs using natural language. Setup instructions are provided through the official mctl website.

Use cases

•Manage Kubernetes services
•Provision databases
•View application logs
•Automate GitOps workflows

Key features

•30+ MCP tools
•Kubernetes management
•GitOps automation
•Service management
•Database provisioning
•Log viewing

Capabilities & Tool Schemas

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

Extracted Tool Capabilities
30+ MCP tools
Kubernetes management
GitOps automation
Service management
Database provisioning
Log viewing

Documentation Overview

mctl MCP Server

mctl is an AI-native control plane for Kubernetes and GitOps. It exposes 30+ tools for managing services, provisioning databases, and viewing logs through natural language.

Official Website: https://mctl.ai/mcp

Overview

This repository serves as the public MCP directory entry for mctl.

How to use

Visit our official website: Get Started with mctl MCP

License

MIT

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
1
Stargazers on the source repository.
Last commit
29d ago
Most recent push to the default branch.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Mctl MCP

It provides tools for managing Kubernetes services, provisioning databases, and viewing logs.

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Technical Specs & Signals

Category☁️Cloud Platforms
More technical detailsExpand ▾
TransportSSE (Remote)
LicenseMIT
Last updatedAug 13, 2026
9/12 checks healthy over the last 32d
Views1
 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 stars1
 GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit29d ago
 Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 13, 2026
39Quality signal: Fair · 39/100How this signal is calculated ▾
Server availabilityNot measured

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

Verified ownership10/20
Documentation & tools15/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data — 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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