Bring full company context to your favorite IDEs and chat interfaces ⚡️
Today we’re spotlighting Glean’s remote MCP servers (Public Beta) that connect AI tools to the full, permission-aware enterprise context in Glean, spanning 100+ data sources so you can avoid context-switching.
MCP servers let teams use AI wherever they work while keeping security, permissions, and centralized control intact.
Here are examples of how devs are using MCP servers today:
- Debug faster: Use stack trace analysis to pinpoint errors and cross-reference with Slack threads, Jira tickets, PRs, and docs 📄
- CI/CD pipeline insights: Pull context from GitHub, Jira, Confluence, Slack, and more to explain failures directly in your IDE 🛠️
- Automate docs: Draft playbooks and documentation with full context from your codebase and Glean knowledge graphs, then publish directly to Confluence ✍️
If you’re building or running AI in engineering workflows, MCP is one way to safely bring the right context into the tools you already use.
🎥 Watch the demo video to see MCP in action.
