Thorsten Hans Builds Edge-Native MCP Servers

AI Engineer22m 37s
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    Video summary

    Thorsten Hans introduces WebAssembly and Spin as a portable stack for distributed MCPModel Context Protocol is a standard way for AI applications to connect with external tools and data sources through consistent interfaces. servers and agents. He explains sandbox permissionsAn AI agent sandbox is an isolated execution environment that limits which files, processes, networks, credentials, and external systems an agent can access. and tool schemasA tool contract is a validated definition of a tool's inputs, outputs, errors and side-effect behavior that an AI agent can rely on. before scaffolding TypeScript tools, composing a server and testing its behavior with MCP Inspector.

    Thorsten Hans demonstrates a Rust decision-log tool using local SQLite and distributed key-value storage, followed by a remote tool call from Zed. The demonstration leaves authentication out for simplicity; that omission is not presented as a safe production default.

    Thorsten Hans connects a Vercel AI SDK game agent to an Ollama-hosted model on a GPU and discusses interpreter snapshotting. After an initial measurement error, the complete model loop is reported at roughly 820 to 866 milliseconds. These are demonstration results rather than universal latency or cold-start guarantees.

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    Thorsten Hans beside the blue and white headline EDGE-NATIVE AGENTS on a black background. Framed in blue with WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 10 October 2026 and duration 22m 37s.

    Thorsten Hans demonstrates how WebAssembly, Spin and composable MCP tools support edge-native agents, with explicit permissions and measured runtime tradeoffs.