Compare/DOOM MCP vs Honker

AI tool comparison

DOOM MCP vs Honker

Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.

D

Developer Tools

DOOM MCP

Play DOOM inline inside Claude or ChatGPT — full game, no browser needed

Ship

75%

Panel ship

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.

H

Developer Tools

Honker

Postgres NOTIFY/LISTEN semantics for SQLite — no broker needed

Ship

75%

Panel ship

Community

Free

Entry

Honker is a Rust-built SQLite extension that brings Postgres-style NOTIFY/LISTEN semantics to SQLite without any external broker. It adds cross-process notifications, durable pub/sub channels, task queues with retries and priority, and crontab-style scheduling — all living inside your existing SQLite file. Single-digit millisecond delivery via WAL-file watching instead of polling. The core trick: rather than polling the database on an interval, Honker watches SQLite's Write-Ahead Log (WAL) file with stat(2) calls. When a write lands, listeners wake up immediately. This gives push semantics without Redis, RabbitMQ, or any additional infrastructure. Business logic writes and task enqueues are atomic because they're in the same database. Honker ships as a loadable SQLite extension plus language packages for Python, Node.js, Rust, Go, Ruby, Bun, Elixir, and C++. It's experimental and the API may change, but it's addressing a real pain point: SQLite projects that outgrow simple reads/writes inevitably reach for external messaging, and Honker defers that moment significantly.

Decision
DOOM MCP
Honker
Panel verdict
Ship · 3 ship / 1 skip
Ship · 3 ship / 1 skip
Community
No community votes yet
No community votes yet
Pricing
Free / Open Source
Free / Open Source
Best for
Play DOOM inline inside Claude or ChatGPT — full game, no browser needed
Postgres NOTIFY/LISTEN semantics for SQLite — no broker needed
Category
Developer Tools
Developer Tools

Reviewer scorecard

Builder
80/100 · ship

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.

80/100 · ship

The WAL-watching approach is elegant — no daemon, no polling loop, no external dependency. Having task queues, pub/sub, and scheduled jobs all in one SQLite file that any language can load is a huge win for projects that want operational simplicity.

Skeptic
45/100 · skip

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.

45/100 · skip

Marked as experimental with an unstable API — do not use this in production today. SQLite's WAL mode has edge cases around concurrent writes and database corruption that get worse with more processes watching it. The use cases overlap significantly with just using Postgres directly.

Futurist
80/100 · ship

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.

80/100 · ship

SQLite is winning the database war for solo and small-team projects. The missing piece has always been eventing and queuing without spinning up Redis. Honker's approach could become standard infrastructure for the next generation of SQLite-native applications.

Creator
80/100 · ship

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.

80/100 · ship

Less relevant for creative work directly, but for indie SaaS builders who want a simple backend without ops overhead, this is the kind of building block that lets you ship features instead of managing infrastructure.

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DOOM MCP vs Honker: Which AI Tool Should You Ship? — Ship or Skip