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Claim this listingkubernetesgitopsdeveloper-toolsinfrastructure
Manage Kubernetes services, provision databases, and inspect logs through 30+ MCP tools for AI-driven GitOps workflows.
Quick Install
Automated & IDE SetupCopy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
Manual Client & Custom JSON ConfigExpand JSON ▾
Client Config & Setup
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Target File:
💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Overview
Use cases
Manage Kubernetes services through natural-language requests
Provision databases from an AI agent
Inspect service logs during troubleshooting
Automate Kubernetes and GitOps workflows
Key features
30+ MCP tools
Kubernetes service management
Database provisioning
Log viewing
GitOps workflow support
Capabilities & Tool Schemas
Inspect callable tools, capabilities, and parameters exposed to AI agents by Mctl MCP.
Extracted Tool Capabilities
30+ MCP tools
Kubernetes service management
Database provisioning
Log viewing
GitOps workflow support
How Mctl MCP works
What mctlhq/mctl-mcp MCP server does
The mctlhq/mctl-mcp MCP server connects AI agents to mctl, an AI-native control plane for Kubernetes and GitOps. It exposes more than 30 MCP tools for common operational tasks, including managing services, provisioning databases, and viewing logs. These capabilities let an agent translate natural-language requests into actions or queries within the mctl control plane.
The repository functions as the public MCP directory entry for mctl. The README identifies Kubernetes and GitOps as the systems at the center of the platform, making this server relevant for teams that want agent-assisted infrastructure operations rather than a general-purpose developer API.
How it works
An MCP-compatible AI client can use the tools exposed by mctl to interact with Kubernetes and GitOps operations. The available tool categories described in the project material cover service management, database provisioning, and log inspection. The README does not document individual tool names, request schemas, response formats, authentication behavior, or transport details.
The mctlhq/mctl-mcp MCP server is intended for natural-language interaction. Exact behavior depends on the mctl platform and the MCP client that invokes its tools, so developers should consult the official setup material before designing workflows around specific operations.
Setup and configuration
The repository does not include installation commands, configuration examples, environment variables, client-specific instructions, or deployment manifests. Instead, it directs users to the official mctl MCP page at https://mctl.ai/mcp for getting-started guidance.
That page is the appropriate source for determining how to connect an MCP client, configure access, and use the server in a particular environment. No required configuration values can be established from the supplied README alone.
Tools and capabilities
The documented capability areas are:
- Managing Kubernetes services
- Provisioning databases
- Viewing logs
- Supporting automated GitOps workflows
- Exposing more than 30 tools through MCP
The README describes these capabilities at a category level and does not provide a complete tool catalog. Developers who need a specific Kubernetes operation, database type, or log query should verify its availability in the mctl documentation before depending on it.
Limitations and notes
The available repository material is intentionally brief. It confirms the platform focus and broad tool categories, but it does not specify supported Kubernetes distributions, Git providers, database engines, authentication methods, transport modes, client compatibility, rate limits, or operational safeguards.
The mctlhq/mctl-mcp MCP server is released under the MIT license. For current installation details and the supported feature set, follow the official mctl MCP documentation rather than inferring behavior from the repository entry.
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Adoption & maintenance
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1
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Last commit
2mo ago
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Directory activity
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