FirebaseConfigAccessorGateway

Deployment Prerequisites

1. Install Required Artifacts

Execute the following command in your terminal to fetch necessary project dependencies:

bun install

2. Provision a Google Cloud Service Identity for Remote Config Access

To establish authenticated communication with Firebase Remote Config, a dedicated service account must be instantiated within the Google Cloud Console, assigned the requisite operational permissions.

Procedure for Service Account Creation in GCP Console

1. Navigate to the Google Cloud Console.
2. Ensure the correct owning project for your Firebase application is selected.
3. Access the navigation pane and proceed to IAM & Admin → Service Accounts.
4. Initiate the creation process by clicking Create Service Account.
5. Designation: Assign a descriptive identifier (e.g., mcp-remote-config-handler).
6. Annotation: (Optional) Provide context, such as: “MCP ingress point for dynamic configuration data.”
7. Proceed by selecting Create and Continue.
8. Authorize Project Scope: Assign appropriate roles for this identity:
9. Search for and append the following IAM role(s):
   • Remote Config Administrator (or Remote Config Reader if read-only functionality suffices).
   • (Optional) Firebase Analytics Viewer if your configuration logic incorporates conditions based on GA4 user segments.
10. Advance to Continue and finalize by clicking Done.
11. From the service account listing, select the newly created identity.
12. Navigate to the Keys sub-tab.
13. Select Add Key → Generate new credential.
14. Specify JSON as the key format and click Create. This action triggers the download of a sensitive JSON credential file.

Security Mandate: Treat this credential file as highly confidential. Avoid dissemination or inclusion within any source code repositories.

3. Environment-Specific Credential Placement

Relocate and rename the downloaded JSON key file(s) to correspond with their respective operational environments, placing them at the root level of the repository structure: - serviceAccount_dev.json mapping for Development stages. - serviceAccount_stg.json mapping for Staging stages. - serviceAccount_prod.json mapping for Production stages.

Version Control Note: These credential files MUST be excluded from source control. Verification confirms they are listed within the project's .gitignore file.

4. Server Initialization Across Targeted Environments

The server can be launched while explicitly specifying which configuration contexts to load, passed as command-line arguments. For instance, to activate all three environments:

bun run index.ts dev stg prod

This command loads configurations for all specified contexts. Users can select any subset (e.g., isolating dev or combining stg prod). If no arguments are supplied, the system defaults to loading the dev context.

The gateway server defaults to binding to TCP port 3000 upon successful startup.

Client Integration Guide

Integrating with MCP-Aware Applications (e.g., Cursor, Claude Desktop, Custom Clients)

Integration within the Cursor IDE:

1. Access Cursor Configuration Settings → Review Features → Select the option to Register a New MCP Endpoint.
2. For the execution directive, employ the following syntax: npx -y supergateway --sse http://localhost:3000/mcp Or, for explicit configuration: "fire-config-mcp": { "command": "npx", "args": [ "-y", "supergateway", "--sse", "http://localhost:3000/mcp" ] } (Adjust the path/command as dictated by your specific deployment setup.)
3. Persist settings and initiate the connection handshake.

Integration via Custom Client (TypeScript Example):

Connections to this service endpoint can be established utilizing the official @modelcontextprotocol/sdk library:

import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { SSEClientTransport } from "@modelcontextprotocol/sdk/client/sse.js";

const client = new Client({ name: "my-client-app", version: "1.0.0" });
const transport = new SSEClientTransport("http://localhost:3000/mcp");
await client.connect(transport);

// Ready to interact: retrieve tool definitions, execute remote operations, etc.
const availableTools = await client.listTools();

Consult the MCP TypeScript SDK Documentation for comprehensive details on client implementation.

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This runtime environment was initialized using the bun init utility, running Bun version v1.2.7. Bun serves as a high-performance, unified JavaScript execution engine.

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