# MCP Firebase Server

> Use this tool when you need to integrate Large Language Models with Firebase Firestore, enabling seamless data exchange and storage. It solves problems of data accessibility and synchronization, allowing models to read and write data to Firestore collections. The MCP Firebase Server accepts MCP tool inputs and outputs data to Firestore, ideal for use cases requiring dynamic data interaction and storage in model-based applications.

Canonical page: https://skillsregistry.net/skills/davo20019-mcp-firebase-server  
JSON: https://api.skillsregistry.net/v1/skills/davo20019-mcp-firebase-server

## Description

A bridge that enables Large Language Models to read from and write to Firebase Firestore collections through Model Context Protocol (MCP) tools.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vlrgwbfhrj)
- **Repository:** <https://github.com/davo20019/mcp-firebase-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "davo20019-mcp-firebase-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/davo20019-mcp-firebase-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/davo20019-mcp-firebase-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt