# Flux GitOps

> Use this tool when you need to bridge AI assistants with Kubernetes GitOps operations, solving problems like debugging Flux resources, managing manifests, and troubleshooting workflows. It provides a read-only interface for inspecting cluster state and a write-capable interface for applying changes, with inputs including log retrieval and resource reconciliation, and outputs including resolved issues and updated cluster states. Ideal for DevOps engineers and platform teams, Flux GitOps streamlines GitOps workflows and diagnoses deployment issues within AI assistant workflows.

Canonical page: https://skillsregistry.net/skills/controlplaneio-flux-gitops  
JSON: https://api.skillsregistry.net/v1/skills/controlplaneio-flux-gitops

## Description

Flux MCP Server provides a bridge between AI assistants and Kubernetes GitOps operations through the Flux CD ecosystem. Developed by ControlPlane, it offers tools for debugging Flux resources, managing Kubernetes manifests, and troubleshooting GitOps workflows with features like log retrieval, resource reconciliation, and context switching between clusters. The implementation includes both read-only tools for safely inspecting cluster state and write-capable tools for applying changes when needed. Built with Go and leveraging the Kubernetes client libraries, this server is particularly valuable for DevOps engineers and platform teams who need to diagnose Flux deployment issues, manage ResourceSets, or interact with Kubernetes clusters without leaving their AI assistant workflow.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/controlplaneio-flux-gitops)
- **Repository:** <https://github.com/controlplaneio-fluxcd/flux-operator>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "controlplaneio-flux-gitops"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/controlplaneio-flux-gitops` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/controlplaneio-flux-gitops/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt