mcp.run vs Beam
Detailed side-by-side comparison to help you choose the right tool
mcp.run
🔴DeveloperAI Infrastructure
Serverless platform for running and composing MCP servers (called 'servlets') in a portable WebAssembly sandbox, with a marketplace for installing tools into any MCP client.
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CustomBeam
🔴DeveloperAI Infrastructure
Beam is AI infrastructure for developers: serverless sandboxes, task queues, and GPU model inference with sub-second cold starts and per-second billing. It is a Modal/RunPod competitor focused on AI primitives like vLLM, ComfyUI, and agent code sandboxing.
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CustomFeature Comparison
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mcp.run - Pros & Cons
Pros
- ✓Wasm sandbox is a genuine supply-chain security win over npm-installed MCP servers
- ✓Language-agnostic — author once, run everywhere
- ✓Capability manifest gives you per-tool least-privilege
- ✓Works with every major MCP client via a small local proxy
- ✓Dylibso's Extism heritage means the Wasm tooling is mature
Cons
- ✗Wasm component model still requires a build step authors are learning
- ✗Smaller catalog than Smithery for popular off-the-shelf servers
- ✗Pricing model is still evolving
- ✗Local proxy adds a (small) install step versus pure stdio servers
Beam - Pros & Cons
Pros
- ✓Publicly itemized per-second GPU pricing is unusually transparent for the category
- ✓Sandboxes for agent-generated code are a first-class primitive, not an afterthought
- ✓Single decorator gets a Python function onto a GPU with HTTPS in front of it
Cons
- ✗Usage-based billing can spike fast under unbounded autoscale — set alerts day one
- ✗Less general-purpose than Modal if you also want non-AI batch workflows
- ✗$30 free credit burns quickly on H100s — evaluation budget is smaller than it looks
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