GPT-5 is out now and AI agents are smarter than ever — but real power comes when you connect them to real-world tools.
That’s where the Model Context Protocol (MCP) comes in. It lets GPT-5 talk to external services like your databases and repos — not just to understand them, but to use them.
Whether you’re building your own agent or using GPT-5 through tools like Claude, Cursor, or Copilot, these 5 ready-to-use MCP servers instantly upgrades your AI’s capabilities.
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1. Firebase MCP server
If you’re already using Firebase, this server lets GPT-5 interact with your project just like you would from the CLI. It’s perfect for app automation, debugging, and user management — all from natural language.
Key features
Instantly bootstrap Firebase projects and apps
Manage Auth: list users, set custom claims, enable/disable accounts
Query Firestore and validate security rules
Send push notifications via FCM
Supports Data Connect (GraphQL), Remote Config, and Crashlytics
Powerful use cases
GPT-5 can spin up a full Firebase app with Firestore, Auth, and hosting
Automatically summarize recent Auth activity and flag risky behavior
Simulate rule access and debug failed reads/writes
Analyze crash logs and propose fixes directly from Crashlytics data
Get Firebase MCP Server: LINK
2. GitHub MCP Server
This official GitHub server is built to give agents full visibility into your repos. It’s great for AI-assisted issue triage, PR generation, and CI/CD diagnostics.
Key features
Local or hosted (OAuth) mode
Granular control: enable only repos, issues, pull requests, etc.
Read-only toggle for safe use
Supports Dependabot, CodeQL, GitHub Actions workflows
Plays well with Claude, Cursor, and other tools
Powerful use cases
GPT-5 can scan issues across multiple repos and suggest the highest-impact fixes
Generate summaries of PR conversations and flag unresolved feedback
Automatically file issues for flaky tests or broken workflows
Navigate GitHub Actions runs to debug CI/CD failures
Get GitHub MCP Server: LINK
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