AI tool comparison
DOOM MCP vs Ollama
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Developer Tools
DOOM MCP
Play DOOM inline inside Claude or ChatGPT — full game, no browser needed
75%
Panel ship
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Community
Free
Entry
Chris Nager built a fully playable DOOM that runs as an MCP (Model Context Protocol) app, rendering inline inside Claude and ChatGPT without a separate browser tab. The architecture uses two MCP tools — create_doom_session for inline-capable hosts and get_doom_launch_url as a browser fallback — combined with cloudflare/doom-wasm for the game runtime and a signed token system that maintains session state across both surfaces. The result is the same session whether you're playing inline or in a tab. The key technical challenge was avoiding iframe and CSP (Content Security Policy) issues. Rather than embedding a browser page inside the MCP iframe, the DOOM canvas runs directly inside the host's iframe — a subtle but critical distinction that resolved a class of rendering and input-handling bugs. The final implementation is intentionally stripped down: no save/load, no persistence adapters, just stable playable DOOM. Beyond the novelty, this project is a concrete demonstration that MCP apps are interactive surfaces, not just tool-calling JSON endpoints. The progressive enhancement pattern — same signed-token foundation serving both inline and browser modes — is a reusable architecture for any game or interactive experience that wants to live inside an AI assistant. Nager open-sourced the implementation and the blog post is a detailed technical breakdown.
Developer Tools
Ollama
Run LLMs locally on your machine — no cloud needed
100%
Panel ship
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Community
Free
Entry
Ollama lets you run Llama, Mistral, Gemma, and other open-source LLMs locally. One command to download and run. Features include a REST API, model library, and GPU acceleration on Mac and Linux.
Reviewer scorecard
“The signed-token progressive enhancement pattern is the part worth stealing. This is a clean reference architecture for MCP interactive apps, and DOOM just happens to be the demo case.”
“The Docker of LLMs. Pull a model, run it, use the API. Privacy, no cloud costs, works offline. Essential tool for any developer experimenting with local AI.”
“Fun proof of concept but let's be honest: if your AI assistant is hosting a DOOM session, something has gone wrong with your productivity. The MCP-as-interactive-surface insight is real, but this specific app has no utility.”
“Local models still lag behind cloud models in quality. But for development, testing, and privacy-sensitive use cases, Ollama is the obvious choice. Free is hard to beat.”
“Every major compute platform's pivot point is when it runs DOOM. MCP running DOOM means MCP is a real platform now. The implications for interactive AI-embedded experiences are significant.”
“Local AI is the future for privacy and cost. As models get smaller and hardware gets better, Ollama becomes the default way to run AI. They are building the runtime layer.”
“As someone who thinks about interactive experiences, the idea of game-like UI living inside an AI context is genuinely exciting. This is a crude ancestor of what interactive AI-native media could become.”
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