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Firebase MCP

premium

Firebase MCP is a Model Context Protocol server that allows AI tools to securely interact with Firebase projects. It enables LLM clients to inspect and manage Firestore / Realtime Database data, Authentication users, Cloud Functions, Hosting configs, and project metadata through natural language requests, helping developers debug, explore, and operate Firebase-backed applications faster.

Curated by AI Stack · Platform pick
Installation Instructions →
Category: Backend / Cloud InfrastructureCompany: Firebase
Compatible Tools:
Claude (Primary)CursorGitHub CopilotReplit AgentWindsurf
Install MCPGitHubWebsite

Example Configurations

For stdio Server (Firebase MCP Example):
firebase://mcp/connect
For SSE Server:
URL: http://example.com:8080/sse

Firebase MCP Specific Instructions

1. Install or deploy the Firebase MCP server (self-hosted implementation).
2. Create a Firebase service account and generate credentials with scoped permissions.
3. Enable required Firebase APIs (Firestore, Auth, Functions, Hosting as needed).
4. Add the MCP configuration to your AI tool (Claude Desktop / Cursor MCP settings).
5. Configure project ID and credentials path, then restart the AI client.

Usage Notes

Help other developers understand when this MCP works best and where to be careful.

Known limitations / caveats:
• Broad permissions can be dangerous; strongly recommended to use read-only or scoped service accounts.
• Large Firestore collections can exceed context limits; filtering by collection, document ID, or time range works best.
• Real-time listeners are not supported; queries are snapshot-based.
Tool-specific behavior:
• Works best in Claude Desktop for multi-step debugging and schema exploration.
• In Cursor, effective for quick Firestore or Auth lookups during development.
• Less reliable with local models due to large JSON payloads from Firebase APIs.

Community Field Notes

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