Glean

Glean is an enterprise AI search and knowledge discovery platform built to solve the problem every growing company eventually hits: information scattered across dozens of SaaS tools, wikis, ticketing systems, code repositories, and shared drives. Glean crawls and indexes these sources, applies permission-aware ranking, and gives employees a single, secure workplace search experience that understands context and intent rather than just matching keywords. For organizations trying to reduce time-to-answer, cut down on repeated Slack questions, and give new hires a faster ramp, Glean acts as an intelligent layer sitting on top of existing enterprise software rather than replacing it.

What makes Glean particularly relevant for teams building AI-driven workflows is that its value multiplies once it's connected to an agent ecosystem. A knowledge discovery tool is only as useful as the number of places it can be reached from — and most companies don't want to wire up a separate integration for every AI assistant their teams use. This is where BusinessMCP.com fits in: instead of connecting Glean directly and separately to Claude, GPT, Gemini, or an internal copilot, you connect it once through a managed, hosted MCP server. That single hosted endpoint (accessed at /api/mcp with a Bearer mcph_* key) exposes Glean's enterprise search and knowledge graph alongside your other business tools, databases, and ad platforms, so any model-agnostic AI agent can query company knowledge without a bespoke integration for each model provider.

The practical benefit of pairing enterprise AI search with a unified MCP layer is consistency and governance. Rather than every team spinning up its own Glean connector inside whatever AI tool they prefer, BusinessMCP centralizes the plumbing — cookieless, GDPR-friendly, and visible in one business-intelligence dashboard alongside usage from your other connected tools. IT and security teams get a single point of control over who and what can query workplace search, while engineering teams and AI agent builders get a stable, documented endpoint instead of juggling API keys and rate limits across every knowledge source individually.

This setup is well suited to companies running internal AI assistants, support automation, or developer-facing copilots that need to answer questions grounded in real company knowledge — not just public training data. When an AI agent can call into Glean's indexed knowledge through the same MCP endpoint it uses for CRM data, support tickets, or revenue dashboards, answers become more accurate and less prone to hallucination, because the agent is retrieving from a live, permissioned source of truth rather than guessing. It also means less duplicate tooling: a single hosted MCP server can serve knowledge discovery to a Claude-based support bot, a GPT-based internal FAQ agent, and a Gemini-based onboarding assistant simultaneously.

For teams evaluating enterprise search and AI-powered knowledge management platforms, Glean is a strong fit when the goal is unifying fragmented internal documentation and app data into one searchable layer. Routing that layer through BusinessMCP's hosted MCP infrastructure turns Glean from a standalone workplace search tool into a reusable capability available to any AI agent your organization adopts next, without repeating integration work each time.