Granola Launches MCP Integration to Connect Meeting Notes With AI Apps.

Granola announced support for the Model Context Protocol, enabling users to connect their meeting notes directly to AI applications including Claude, ChatGPT, and Cursor. The integration eliminates the need to manually copy and paste meeting context between applications.

The feature addresses a workflow bottleneck that many knowledge workers face: they capture detailed meeting notes in Granola, then need to reference that information while working in other AI tools. Until now, this meant switching back to Granola, locating the relevant note, and copying the information manually.

Once connected, AI tools that support MCP can pull meeting context directly from Granola's database. A developer writing code in Cursor can reference technical discussions from a planning meeting. A sales rep drafting follow-up emails in ChatGPT can pull exact details from a client call. A project manager asking Claude to update Linear from a standup can do so without leaving their workflow.

The announcement on LinkedIn positions this as removing context switching. Instead of working with static copied text, users get dynamic access to their meeting history wherever they're already working.

The Model Context Protocol, developed by Anthropic, provides a standardized way for AI applications to access external data sources. By implementing MCP, Granola joins a growing ecosystem of tools that can share context across platforms. Any application that supports the protocol can theoretically access Granola's meeting notes, not just the examples mentioned in the launch.

Granola's core product helps users take structured meeting notes by combining their own typing with AI-generated summaries and transcripts. The company has steadily expanded its feature set to make those notes more useful after meetings end. Earlier features included search, sharing, and the ability to ask questions about meeting content within Granola itself.

This MCP integration extends that utility by pushing meeting context into the places where users are actually doing follow-up work. The company frames it as making meeting notes a continuous resource rather than a reference document you occasionally visit.

The feature works with any AI tool that has implemented MCP support. Granola provides documentation on their blog for setting up the connection. Users authenticate their Granola account, and the AI application can then query their meeting notes as needed.

For teams that have adopted AI-assisted workflows, the integration means meeting discussions can inform AI outputs without manual data transfer. A product team brainstorming in a meeting can have those ideas immediately available when they move to Claude for documentation or ChatGPT for user research synthesis.

The announcement arrives as Granola continues building out its position as infrastructure for meeting knowledge, following recent updates that expanded MCP support to additional platforms including v0 and Lovable. The company appears focused on making meeting notes accessible wherever work happens, rather than keeping them siloed in a dedicated notes application.