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Firebase MCP Server

by dasasianversion 1.1.0i★ –iRuns on your computer
Registry nameio.github.dasasian/firebase-mcp-server

Install

Overview

Description from the maker (original English)

MCP server for Firebase — Firestore, Storage, Auth, and Cloud Logging, with schema validation.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "firebase": {
      "command": "npx",
      "args": [
        "-y",
        "@dasasian/firebase-mcp-server"
      ]
    }
  }
}

Run this in your terminal

claude mcp add firebase -- npx -y @dasasian/firebase-mcp-server

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "firebase": {
      "command": "npx",
      "args": [
        "-y",
        "@dasasian/firebase-mcp-server"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "firebase": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@dasasian/firebase-mcp-server"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account dasasian, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32680 servers in this category
  • Published to the registry more recently than 24% of the other 32680 servers in this category
  • Basic checks equal to or better than 100% of the other 32680 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Firebase MCP Server safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.1.0) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, EmbeddedCI BenchPod

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
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EmbeddedCI BenchPod

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Runs on your computerUpdated today
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Firebase MCP Server

General-purpose Model Context Protocol (MCP) server for Firebase (Firestore, Storage, Auth, Functions Logging) with schema-driven validation and context-efficient tools.

Features

  • @ Mention Support - Reference Firestore documents with @firebase:firestore://users/user-123
  • Smart Autocomplete - MRU cache tracks accessed documents for quick re-reference
  • Auto-Discovery - Shows both schema-based AND discovered collections
  • Path-based schemas - Follows Firebase firestore.rules convention
  • Schema evolution - Field status metadata (experimental → official → legacy)
  • Hot reload - File watching, no restart needed when schemas change
  • Flexible validation - Three modes: strict, warn (default), permissive
  • Works without schemas - Discovery mode for exploring unknown databases
  • Context-efficient tools - 99% token reduction for large datasets
  • Index-aware queries - Validates queries against firestore.indexes.json
  • Functions logging - SQL-like queries for Cloud Functions logs with aggregations and label filtering

Install

Add it to your MCP client (e.g. Claude Code) — runs via npx, no global install needed:

{

"mcpServers": { "firebase": { "command": "npx", "args": ["-y", "@dasasian/firebase-mcp-server", "start", "./firestore-schemas.json"] } } }

start takes an optional schema config path (default ./firestore-schemas.json) and an optional indexes path (default ./firestore.indexes.json) — see Schema Format. Firebase auth uses Application Default Credentials.

Or install the CLI globally:

npm install -g @dasasian/firebase-mcp-server

firebase-mcp start ./firestore-schemas.json

Development (from source)

npm install

npm run build npm run cli -- start --config ./examples/basic/firestore-schemas.json

@ Mention Support (Resources)

Reference Firestore documents directly in Claude Code:

What's the email for @firebase:firestore://users/user-123?

Show me all posts: @firebase:firestore://posts/*

How It Works

When you type @firebase in Claude Code:

Shows schema-based collections (with validation):

  • 📋 Users (User account documents)
  • 📋 Posts (Blog post documents)
  • 📋 Comments (Comments on posts)

Plus auto-discovered collections (no schema):

  • 🔍 analytics
  • 🔍 sessions
  • 🔍 audit_logs
Configuration
# Enable/disable auto-discovery (default: true)

export FIRESTORE_AUTO_DISCOVER=true

Cache duration in seconds (default: 300 = 5 minutes)

export FIRESTORE_DISCOVERY_CACHE_TTL=300

Auto-discovery cost: ~$0.0003/day (negligible)

Tools

The server ships 33 tools in four groups. Every tool declares MCP annotations (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) so a client can auto-approve reads and ask before writes.

Choosing which tools to load

All 33 tool definitions cost roughly 12k tokens of context on every session. If you only need part of the surface, narrow it:

# Only Firestore (12 tools, ~4.3k tokens)

firebase-mcp start --tools firestore

Firestore plus Auth

firebase-mcp start --tools firestore,auth

Or set it in your MCP client config:

export FIREBASE_MCP_TOOLS=firestore,storage

The --tools flag wins over the environment variable. Leaving both unset loads everything, so upgrading never hides a tool you were already using. Calling a tool from a group you switched off returns an error naming the group to add.

GroupTools~Tokens
firestore124,341
storage144,152
auth62,075
logs11,817
*all (default)**33**12,387*
Firestore (12) — --tools firestore
  • firestore_show_collections — Show collections *(read)*
  • firestore_read — Read document *(read)*
  • firestore_export — Export collection *(read)*
  • firestore_validate — Validate against schema *(read)*
  • firestore_query_select — Query documents *(read)*
  • firestore_query_collection_group — Query collection group *(read)*
  • firestore_count — Count documents *(read)*
  • firestore_sum — Sum a field *(read)*
  • firestore_stats — Collection statistics *(read)*
  • firestore_import — Import document *(write, destructive)*
  • firestore_update — Update documents *(write, destructive)*
  • firestore_delete — Delete documents *(write, destructive)*
Firebase Auth (6) — --tools auth
  • firebase_auth_list_users — List users *(read)*
  • firebase_auth_get_user — Get user *(read)*
  • firebase_auth_create_user — Create user *(write)*
  • firebase_auth_update_user — Update user *(write, destructive)*
  • firebase_auth_delete_user — Delete user *(write, destructive)*
  • firebase_auth_revoke_sessions — Revoke sessions *(write, destructive)*
Firebase Storage (14) — --tools storage
  • firebase_storage_list_buckets — List buckets *(read)*
  • firebase_storage_ls — List files *(read)*
  • firebase_storage_stat — File metadata *(read)*
  • firebase_storage_find — Find files *(read)*
  • firebase_storage_get_url — Get file URL *(read)*
  • firebase_storage_get_access — Get file access *(read)*
  • firebase_storage_read — Download file to a local temp path *(write)*
  • firebase_storage_upload — Upload file *(write, destructive)*
  • firebase_storage_rm — Delete file *(write, destructive)*
  • firebase_storage_cp — Copy file *(write, destructive)*
  • firebase_storage_mv — Move file *(write, destructive)*
  • firebase_storage_sync — Sync bucket to local *(write, destructive)*
  • firebase_storage_push — Push local to bucket *(write, destructive)*
  • firebase_storage_set_access — Set file access *(write, destructive)*
Cloud Logging (1) — --tools logs
  • firebase_functions_logs — Query Cloud Functions logs with SQL-like syntax *(write)*

firebase_storage_read and firebase_functions_logs are not marked read-only because they write: the first downloads to a local temp file, the second updates its auto-discovered logging schema on disk.

Reading function logs needs an extra IAM role. The Firebase Admin SDK service

account has no Cloud Logging access by default, so firebase_functions_logs fails

with PERMISSION_DENIED: Permission denied for all log views even when every other

tool works. Grant the role and allow a few minutes for it to take effect:

`bash

gcloud projects add-iam-policy-binding PROJECT_ID \

--member="serviceAccount:firebase-adminsdk-xxxxx@PROJECT_ID.iam.gserviceaccount.com" \

--role="roles/logging.viewAccessor"

`

roles/logging.viewer alone may not be enough — the error names *log views*, and the

logging.views.access permission is in viewAccessor.

Example queries:

// Discover what functions exist

{"distinct": "functionName"}

// Show recent errors {"where": [{"field": "severity", "operator": "==", "value": "ERROR"}], "limit": 20}

// Top error patterns with counts (use "message" — structured logs have no textPayload) {"groupBy": ["message"], "aggregates": [{"field": "*", "operation": "count", "alias": "count"}], "where": [{"field": "severity", "operator": "==", "value": "ERROR"}], "orderBy": [{"field": "count", "direction": "desc"}], "limit": 10}

// Filter by custom labels (e.g., user, environment) {"where": [{"field": "labels.user_id", "operator": "==", "value": "123"}]}

Schema Format

Schemas follow Firebase's path-based convention:

{

"schemas": { "/organizations/{organizationId}": { "description": "Organization documents", "schema": { "type": "object", "required": ["id", "name"], "properties": { "id": { "type": "string" }, "name": { "type": "string" } } } }, "/organizations/{organizationId}/products/{productId}": { "description": "Product catalog", "schema": { "type": "object", "properties": { "name": { "type": "string" }, "category": { "type": "string", "x-status": "legacy", "x-replacedBy": "productType" }, "productType": { "type": "string", "x-status": "experimental" } } }, "timestampFields": ["createdAt", "updatedAt"] } } }

Documentation

  • Installation Guide
  • @ Mention Support Guide - How to use @firebase:firestore:// references
  • Configuration Reference
  • Schema Creation Guide
  • Functions Logging Guide - Query Cloud Functions logs with SQL-like syntax, aggregations, and custom labels

License

MIT

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