MCP (Model Context Protocol)
A protocol that allows AI tools to share context and communicate with each other.
Model Context Protocol (MCP) is an emerging standard for AI tool interoperability. It allows different AI applications to share context, enabling workflows that span multiple tools.
Why it matters: Today, AI tools are siloed. Your product planning tool doesn't talk to your code editor. MCP changes that by creating a common language for AI tools to exchange information.
Use cases: - Export product specs from Cutline directly into Cursor - Share codebase context between different AI assistants - Allow AI tools to trigger actions in other applications
How it works: MCP defines a standard format for: - Describing available tools and their capabilities - Passing context between applications - Requesting and receiving responses
Current status: MCP is relatively new but gaining adoption. Anthropic and several AI tool makers are supporting it. As more tools implement MCP, the ecosystem becomes more powerful.
This is similar to how HTTP enabled the web or how REST APIs enabled service integration. MCP could do the same for AI tools.
Examples
- •Cutline exporting pre-mortem results to Cursor via MCP
- •An AI assistant accessing your calendar and email via MCP connections
- •Different AI tools sharing context about your project