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- Infrastructure mcp operator
Infrastructure mcp operator
Securely operate and inspect servers, clusters, and network devices via infrastructure-mcp.
Free
Works with the AI Agents you already use
Infrastructure mcp operator
Example session with this skill installed
I'm seeing high latency on the production web-tier. Use the infrastructure-mcp tools to list the servers in the 'web-prod' group and check their current CPU load.
- Read your context and instructions
- Compiled the infrastructure mcp operator
I have queried the infrastructure-mcp server to inspect the 'web-prod' inventory group. I retrieved the status for three active nodes and checked their resource utilization.
Infrastructure Status: web-prod group
| Server ID | Hostname | IP Address | CPU Usage | Memory Usage | Status |
|---|---|---|---|---|---|
| srv-01-wp | web-prod-01 | 10.0.4.12 | 88.4% | 4.2GB / 8GB | Healthy |
| srv-02-wp | web-prod-02 | 10.0.4.13 | 92.1% | 5.8GB / 8GB | Throttled |
| srv-03-wp | web-prod-03 | 10.0.4.14 | 45.0% | 2.1GB / 8GB | Healthy |
Assessment
High Load: web-prod-02 is currently throttled with CPU usage exceeding 90%. web-prod-01 is also near capacity.
Imbalance: web-prod-03 is under-utilized at 45%, suggesting a possible load balancer distribution issue or a specific process hang on the other nodes.
- Evidence: Timestamps from
list_serversindicate these metrics were captured within the last 30 seconds.
Unknowns
- The specific process causing the spike on
web-prod-02is unknown as detailed process monitoring tools were not invoked. - Load balancer logs are not included in this view.
Next steps
- Check the load balancer distribution logs for the web-prod pool.
- Inspect the top processes on
web-prod-02using theget_server_metricsdetail view. - Verify if any recent deployments or cron jobs started at the time of the latency spike.
Connects securely to your tools. The creator never sees your data.
About this skill
Managing complex infrastructure usually requires juggling multiple CLI tools, credentials, and context windows. This skill operates infrastructure via an existing MCP server, providing a secure bridge to inspect servers, containers, and network devices without manual credential handling.
What it does
- Discover targets by listing servers and tags to identify the correct environment.
- Inspect resources across clusters, hypervisors, and Cisco devices using named tools.
- Collect evidence by pulling real-time status and logs from infrastructure components.
- Analyze health by interpreting tool outputs to identify specific points of failure.
- Execute changes using a controlled flow that requires explicit user approval for mutations.
How it works
- Identify domain by mapping the user request to specific infrastructure targets.
- Verify tools by checking the available MCP surface for the required adapters.
- Gather data starting with broad status checks before drilling into specific logs.
- Report findings separating raw tool observations from logical interpretations.
Frameworks & tools
This skill requires a configured infrastructure-mcp server. It interacts with environments involving Docker, Kubernetes, Cisco networking, and various hypervisors through standardized tool interfaces.
Why this beats prompting it yourself
Generic prompts often hallucinate resource names or suggest unsafe execution commands. This skill enforces a strict safety contract, preventing the use of unrestricted shell escapes and ensuring every mutation is explicitly confirmed against real inventory names.
Use cases
- Troubleshoot container crashes in a Kubernetes cluster without manual auth.
- Audit Cisco device configurations across multiple network segments.
- Verify hypervisor resource allocation during performance degradation.
- Perform read-only fleet health checks before scheduled maintenance.
Known limitations
Requires an active infrastructure-mcp server installation. It cannot use unrestricted execution tools like run_command or kubectl_exec for security reasons.
Requires Infrastructure MCP Server. This skill does not include or host any infrastructure access. You must deploy and connect Infrastructure MCP Server (free, MIT, self-hosted) first. Without it, the skill will tell you it can't run.
Setup (about 10 minutes):
- Install the infrastructure-mcp server (Docker, Docker Compose, or from source). https://github.com/radumalica/infrastructure-mcp
- Add your servers to the inventory file. Credentials stay on your server.
- Connect your agent over stdio or authenticated HTTP.
- Install this skill.
Not included: hosted service, infrastructure access, credentials, API credits, or support. Works with Linux, Docker, Kubernetes, Grafana, Proxmox and Cisco today.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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