Definition

What is Context Portability?

The ability to use the same context across multiple AI tools and applications without re-uploading or re-configuring.

Context portability means your research notes, company documents, or project files aren't locked into a single AI tool. With Wire, you create a container once and connect it to Claude, Cursor, Cline, or any MCP-compatible tool. Your context follows you.

Related concepts

Context Container

A portable, shareable unit of organized context (documents, data, and structured information) made accessible to AI agents through MCP tools.

MCP (Model Context Protocol)

An open protocol that standardizes how AI applications provide context and tools to language models.

Further reading

Your AI Doesn't Remember You The AI Silo Problem How to Move Your AI Context Between Tools

All terms

View full glossary
AI Agent Context as a Service Context Container Structured Context Context Engineering Context Portability Context Rot Context Window MCP (Model Context Protocol) MCP Server RAG (Retrieval-Augmented Generation) Semantic Search Wire

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