Deploy AI Agents as Servers with Docker Agent Skill

Deploy AI Agents as Servers with Docker Agent Skill

The Deploy AI Agents as Servers with Docker Agent Skill facilitates the deployment of Docker Agents as servers, allowing them to be exposed over various interfaces such as MCP, HTTP API, A2A, ACP, or OpenAI-compatible chat endpoints. It also supports distributing an agent via an OCI registry using `docker agent share`, and evaluating the agent's performance through `docker agent eval`.

What this skill does

• Makes an AI agent accessible from other software platforms by using `docker agent serve` to listen on designated addresses, with appropriate authentication options.
• Enables the publication of AI agents to Docker Hub or other OCI registries, allowing sharing and pulling of agents in a manner akin to container images.
• Provides automated evaluation capabilities, including regression testing of AI agents, and allows CI to be gated on these evaluations using defined scoring metrics and the `--baseline` regression gate.

Who it is for

This skill is designed for developers and teams who utilize AI coding agents such as Claude Code, Cursor, and Codex, and need to deploy these agents as servers or distribute them through registries.

Use cases

• A developer wants to turn their AI agent into an MCP server to be accessible by multiple applications.
• A team needs to publish their AI agent to Docker Hub for collaborative use within their organization or with external partners.
• An organization aims to conduct regression tests on their AI agent with each update to ensure consistent performance and integrate these evaluations into their CI pipeline.

Technical details

• This skill leverages `docker agent serve` to establish AI agent server endpoints compatible with MCP, HTTP API, and other protocols.
• Utilizes `docker agent share` for the distribution of agents to OCI registries, facilitating the management and deployment of AI agents.
• Incorporates `docker agent eval` functionality to assess the quality and performance of AI agents with metrics and JSON-based eval sessions, ensuring testing within CI processes.

Source & Licence

This package is built on open-source work published by docker (docker/skills) and distributed under Apache-2.0. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted under the Apache License 2.0, which also includes an express patent grant. Attribution and any NOTICE file must be retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.