Cameron Kayfish is Senior Product Marketing Manager at Port, leading the go-to-market for Agentic Engineering and driving enterprise-ready AI automation.
Webinar
Port Builders Session: A Single, Governed Interface for All MCP Servers
April 15th, 10:00 AM EDT
You started connecting MCP servers to make your AI agents smarter. Notion for docs, Jira for tickets, GitHub for code, Dynatrace for monitoring. Now you're maintaining a gateway architecture, writing routing logic, and managing OAuth flows per service. What started as "connect a few tools" became infrastructure you didn't sign up for.
We've seen teams building their own MCP proxy layers to solve this. This session shows a faster path.
MCP Connectors let you route external MCP servers through Port. You control which servers and tools are available. Developers and AI agents get one governed entry point to everything.
Join us on April 15 for a live walkthrough. Open Q&A throughout.
This session is for you if:
- You've connected MCP servers to AI agents and the routing and governance is becoming a problem
- Your developers are asking for MCP tool access and you need guardrails before saying yes
- You're evaluating whether to build your own MCP gateway or use an existing one
What we'll cover:
- Governed access for humans and agents: Control which MCP servers, tools, and teams have access, with per-user OAuth 2.0 authentication. No new permissions granted, just a new interface to what your teams already have.
- One connection replaces per-service configuration: Developers connect Port's MCP server to their IDE and reach every approved tool. AI agents query one source of truth instead of maintaining routing logic across services.
- External data, grounded in your engineering context: MCP Connectors extend Port's Context Lake, your centralized engineering knowledge graph, with on-demand queries to tools like Sentry, Dynatrace, Confluence, and Notion. Agents get real answers because they have real context.
We'll walk through:
- How one MCP connection to your Context Lake and documentation speeds up onboarding for new developers
- How teams are building an SRE agent by connecting workflows, Port's Context Lake, and MCP servers like Confluence, Dynatrace, and PagerDuty
- How platform engineers control which MCP servers and tools each team can access, all from one registry
Register
Cameron Kayfish
Matan Grady
Matan Grady is Director of Product at Port, leading AI Solutions and driving Port’s evolution into an agentic engineering platform. He builds AI-powered products that boost developer productivity and experience.