Ramp’s “Glass” shows MCP in use

Ramp’s Eric Glyman described 'Glass', an SSO‑integrated AI workspace built on MCP servers that exposes 350+ skills and shares workflows across teams. He reported very high internal adoption metrics for the workspace, positioning MCP servers as a way to standardize permissions and reusable skills (x.com).

Ramp is showing how the Model Context Protocol is moving from demos into daily office work: Chief Executive Eric Glyman said the company’s internal workspace, Glass, is now used by 99% of employees every day. (analyticsindiamag.com) Glyman said Glass plugs into Ramp’s workplace apps through single sign-on, then gives employees access to more than 350 reusable “skills” built inside the company. He said those skills let one team member’s workflow spread to the rest of the team instead of staying a one-off trick. (analyticsindiamag.com) The underlying protocol is a standard way for an artificial intelligence app to reach outside itself for data and actions, like a universal adapter for business software. Anthropic introduced the Model Context Protocol in November 2024 as an open standard for connecting assistants to tools, repositories, and databases. (anthropic.com) The Model Context Protocol specification says servers can expose three main things: resources, prompts, and tools. In plain terms, that means an assistant can read company context, call functions, and run templated workflows without a custom integration for every app. (modelcontextprotocol.io) Ramp had already been building with that standard before Glass surfaced publicly. In a March 25, 2025 engineering post, Ramp said it built an MCP server that turned its developer application programming interface into a natural-language interface for spend data, using Claude Desktop as the client. (builders.ramp.com) That earlier Ramp prototype let Claude generate charts, run analyses on company spending, and even issue cards for an offsite, according to the post. Ramp’s engineers said adding a new data source could be as simple as defining a new tool, rather than wiring a separate bespoke connection each time. (builders.ramp.com) Glass extends that idea from a single data source to a company-wide workspace. Analytics India Magazine reported that the product updates its memory daily by scanning authenticated apps, and that a recommendation system called Sensei suggests relevant skills based on a user’s role and active projects. (analyticsindiamag.com) Anthropic pitched the same broader promise when it launched the protocol: one standard instead of a patchwork of connectors. Its launch post said early adopters including Block and Apollo were already integrating MCP, while companies such as Replit and Sourcegraph were working with it in developer tools. (anthropic.com) Ramp has been making a wider case that internal artificial intelligence systems are part of its operating model, not a side project. On January 12, 2026, Ramp engineers said they had also built an in-house background coding agent called Inspect to verify code with internal tools and context. (builders.ramp.com) The immediate takeaway from Glass is narrower than the hype around “agents.” Ramp is describing a workplace where permissions come from single sign-on, capabilities come from MCP servers, and useful workflows can be reused across teams instead of rebuilt employee by employee. (analyticsindiamag.com)

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