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title: A Proper MCP Gateway/Connector Pattern For Engineering Teams
description: Engineering teams building AI integrations often end up maintaining a sprawling MCP gateway with complex OAuth flows and routing logic. The proposed solution...
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# A Proper MCP Gateway/Connector Pattern For Engineering Teams

**[Pavan Belagatti](https://daily.dev/sources/dfa0u7-fs)** · [@johhnypav](https://daily.dev/johhnypav) · 2 min read · 0 upvotes · 0 comments

## Summary

Engineering teams building AI integrations often end up maintaining a sprawling MCP gateway with complex OAuth flows and routing logic. The proposed solution is a single governed MCP Gateway/Connector pattern using Port.io as a Server Catalog and Gateway, sitting between AI clients (Cursor, Claude Desktop, LangGraph) and developer tools (GitHub, Jira, Sentry, Slack). This gives developers a unified interface, lets platform engineers enforce tool scoping and read-only access via OAuth 2.0, and gives engineering heads a single governance layer to audit instead of N separate integrations. The pattern is demonstrated via a hands-on video guide.

## Content

Every engineering team experimenting with AI hits the same wall.

You connect GitHub, then Jira and then Notion & so on. Six months in, you are not shipping AI features, you are maintaining an MCP gateway you accidentally built, juggling OAuth flows and routing logic.

The fix? A proper MCP Gateway/Connector pattern (see diagram below).

A single, governed layer sits between your AI clients (Cursor, Claude Desktop, LangGraph) and your tools (GitHub, Jira, Sentry, Slack, PagerDuty). Port.io acts as the Server Catalog + Gateway, one entry point to everything.

**What it unlocks?**

- Developers: Connect Port to your IDE once. Get PR comments, Jira details, and Sentry errors without tab-switching. Ask "why did this deploy fail?" → get logs + commits + runbook in one response.

- Platform Engineers: Stop writing routing logic. Approve MCP servers org-wide, scope tools per team, enforce read-only where it matters. OAuth 2.0 per user — no new permissions, just a unified interface.

- Engineering Heads: One governance layer instead of N integrations to audit. Faster MTTR. Reduced onboarding time. Scale AI adoption without scaling architectural debt.

Tools give agents access and gateway gives them knowledge, grounded in your engineering graph. The winners in agentic engineering are not the ones with the most MCP servers. They are actually the ones with the cleanest routing and a single source of truth.

Recently, I made a hands-on guide to show how you can connect any of your Developer tools through one MCP connector & automate your entire developer workflows. Take a look: https://youtu.be/6VBhFq5SJ0s

## Similar posts on daily.dev

- [What Is MCP and Why Does It Need a Gateway? A Practical Guide for AI Engineers](https://daily.dev/posts/what-is-mcp-and-why-does-it-need-a-gateway-a-practical-guide-for-ai-engineers-fhf76gbfk) · DEV · 5 upvotes · 0 comments

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