ContextVault lets teams share reusable AI context across tools via MCP server

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Developer Kevin has launched ContextVault, a shared memory layer that allows teams to store and retrieve reusable AI context — such as prompts, coding conventions, and architectural decisions — across multiple AI tools including ChatGPT, Claude, and Gemini. The tool was born out of frustration with context becoming fragmented across different platforms and team members independently solving the same problems. ContextVault uses an MCP server to let users save and query stored context directly within AI conversations, with support for multi-user organizations, role-based access, and OAuth login via GitHub, Google, Microsoft, and GitLab. The backend is built on PostgreSQL, pgvector, Node.js, and TypeScript, with billing and authentication handled via Stripe and Clerk respectively. The product soft-launched a few weeks ago and is available at contextvault.dev, with Kevin actively seeking community feedback on how teams currently manage reusable AI context.

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