Context Share

Context Share is a remote MCP server that carries context between AI coding agent sessions. One session saves a summary of the work it has done; another agent, tool or machine then picks that summary up and continues from it, so a handoff does not mean starting over and re-explaining the task.

The maker states it works across Claude, Kiro, Cursor and openClaw. Because it is exposed as a Model Context Protocol server rather than an application, any MCP-capable client can connect to it, which is what makes cross-tool and cross-machine handoffs possible - you can begin on a laptop in one editor and resume on a different machine in another.

The problem it addresses is familiar to anyone running long agent sessions: context is trapped inside a single session, and moving work to a different tool means rebuilding the picture by hand. Context Share makes that state a shared, persistent artefact instead.

One caveat for evaluation: the public site is a single line - "Persistent context for agent handoffs" - so the detail above comes from the maker's own Product Hunt listing. There is no published documentation, feature breakdown or pricing on the site, so treat setup requirements and limits as unknown until you connect to it.

Handing off work between AI coding agent sessions, tools and machines by saving and restoring session context through a remote MCP server.