Oleg Selajev
More by Oleg
AI Guide to the Galaxy: MCP Toolkit and Gateway, Explained
A concise, conversational walk-through of Docker’s MCP Toolkit and Gateway: what they are, how they secure tools, and how they fit with Compose and cloud.
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How to add MCP Servers to OpenAI’s Codex with Docker MCP Toolkit
Connect OpenAI Codex to 220+ MCP servers with Docker MCP Toolkit. One-click setup, secure credentials, and a Neo4j graph demo for real data workflows.
Read now
Docker at AI Engineer Paris: Build and Secure AI Agents with Docker
Highlights from AI Engineer Paris: how Docker’s MCP Toolkit & Catalog and cagent help teams build, run, and secure AI agents—from local dev to production.
Read now
Docker MCP Toolkit: MCP Servers That Just Work
Run 200+ MCP servers securely with Docker MCP Toolkit. Configure AI tools and workflows in just a few clicks inside Docker Desktop.
Read now
Build and Distribute AI Agents and Workflows with cagent
cagent is a new open-source project from Docker that makes it simple to build, run, and share AI agents, without writing a single line of code. Instead of writing code and wrangling Python versions and dependencies when creating AI agents, you define your agent’s behavior, tools, and persona in a single YAML file, making it…
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How to Build Secure AI Coding Agents with Cerebras and Docker Compose
Learn how to build a secure, portable AI coding agent with Docker Compose, MCP Gateway, and Cerebras Cloud—plus a no-network code sandbox using Testcontainers
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Building AI agents made easy with Goose and Docker
Learn how you can build an AI agent easily with Goose and Docker Model Runner.
Read now
AI-Powered Testing: Using Docker Model Runner with Microcks for Dynamic Mock APIs
Learn how to create AI-enhanced mock APIs for testing with Docker Model Runner and Microcks. Generate dynamic, realistic test data locally for faster dev cycles.
Read now
AI Guide to the Galaxy: MCP Toolkit and Gateway, Explained
A concise, conversational walk-through of Docker’s MCP Toolkit and Gateway: what they are, how they secure tools, and how they fit with Compose and cloud.
Read now
How to add MCP Servers to OpenAI’s Codex with Docker MCP Toolkit
Connect OpenAI Codex to 220+ MCP servers with Docker MCP Toolkit. One-click setup, secure credentials, and a Neo4j graph demo for real data workflows.
Read now
Docker at AI Engineer Paris: Build and Secure AI Agents with Docker
Highlights from AI Engineer Paris: how Docker’s MCP Toolkit & Catalog and cagent help teams build, run, and secure AI agents—from local dev to production.
Read now
Docker MCP Toolkit: MCP Servers That Just Work
Run 200+ MCP servers securely with Docker MCP Toolkit. Configure AI tools and workflows in just a few clicks inside Docker Desktop.
Read now
Build and Distribute AI Agents and Workflows with cagent
cagent is a new open-source project from Docker that makes it simple to build, run, and share AI agents, without writing a single line of code. Instead of writing code and wrangling Python versions and dependencies when creating AI agents, you define your agent’s behavior, tools, and persona in a single YAML file, making it…
Read now
How to Build Secure AI Coding Agents with Cerebras and Docker Compose
Learn how to build a secure, portable AI coding agent with Docker Compose, MCP Gateway, and Cerebras Cloud—plus a no-network code sandbox using Testcontainers
Read now
Building AI agents made easy with Goose and Docker
Learn how you can build an AI agent easily with Goose and Docker Model Runner.
Read now
AI-Powered Testing: Using Docker Model Runner with Microcks for Dynamic Mock APIs
Learn how to create AI-enhanced mock APIs for testing with Docker Model Runner and Microcks. Generate dynamic, realistic test data locally for faster dev cycles.
Read now