Introducing MCP in Glean: From connectivity to enterprise-ready actions

What this post added

This post details the integration of the Model Context Protocol (MCP) into Glean's agent orchestration platform. It introduces MCP as a standard for connecting AI models to enterprise systems, enabling agents to perform actions beyond answering questions. Key technical contributions include: the implementation of a remote MCP server, the expansion of the MCP tools ecosystem within Glean Assistant and Agents, the development of tool search for efficient action discovery from a large set of MCP tools, the use of enterprise memory to capture and surface successful action sequences, and the definition of reusable skills as executable markdown specifications for complex workflows. The post also elaborates on the security enhancements for MCP, including centralized governance, least-privilege execution, human-in-the-loop verification, and runtime scanning for prompt injection and malicious code.