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September 17, 2026
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5 min read
Firebase MCP Server: Crashlytics Tools, Auth, and Safe Setup
By Ashish Dubey
Published: September 17, 2026
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Built for Speed: ~10ms Latency, Even Under Load
Blazingly fast way to build, track and deploy your models!
- Handles 350+ RPS on just 1 vCPU — no tuning needed
- Production-ready with full enterprise support
TrueFoundry AI Gateway delivers ~3–4 ms latency, handles 350+ RPS on 1 vCPU, scales horizontally with ease, and is production-ready, while LiteLLM suffers from high latency, struggles beyond moderate RPS, lacks built-in scaling, and is best for light or prototype workloads.
Built for Speed: ~10ms Latency, Even Under Load
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Frequently asked questions
What is the Firebase MCP server?
In TrueFoundry’s docs it is a Firebase Crashlytics MCP server: a Model Context Protocol server letting agents inspect crash issues, stack traces, crash events, and reports. It authenticates with a Google Cloud service account JSON key and is deployed as a remote or hosted stdio server rather than provisioned from a catalogue. It does not expose other Firebase products.
What tools does the Firebase Crashlytics MCP server expose?
The docs describe capabilities by IAM role rather than naming functions: project metadata via roles/firebase.viewer, crash data reads via roles/firebasecrashlytics.viewer, and optional issue-state updates via roles/firebasecrashlytics.user. The exact list depends on your implementation and appears on the Tools tab.
Is a Crashlytics MCP server safe for a mobile crash triage agent?
With scoping, yes. Grant Viewer roles only, disable mutation tools at the gateway, keep the collaborator list narrow, and enable PII/PHI Detection on the MCP Post Tool hook so crash payloads are redacted before reaching the model.
Can I deploy TrueFoundry in my own VPC or on-prem?
Yes. TrueFoundry runs in your VPC, on-prem, air-gapped, or hybrid, so prompts and responses never leave your domain even as you route across many providers.
Does TrueFoundry support MCP and AI agents generally?
Yes. It includes an MCP Gateway, an Agent Gateway, and an MCP & Agents Registry with tool-level access control. Agents on LangGraph, CrewAI, AutoGen, or a custom framework can all be governed centrally.
Ele se integra com a minha stack de observabilidade existente?
Sim. O gateway é compatível com OpenTelemetry e se integra com Grafana, Datadog, Prometheus ou a sua stack preferida. Ele rastreia cada requisição, do prompt à execução da ferramenta e do modelo, para que você obtenha logs unificados sem precisar remover o que você já usa.
