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ARTie Retirement Guide MCP Demo

by afin83
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JavaScript
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ARTie Retirement Guide MCP Demo

Synthetic MCP server for demonstrating an ARTie Retirement Guide connector inside ChatGPT.

This project proves the experience pattern:

A member asks a retirement question in ChatGPT. ChatGPT connects to ARTie Retirement Guide. ARTie provides trusted retirement capabilities. ChatGPT answers in plain English.

The current data is synthetic only. This is not financial advice and does not connect to ART systems.

Current status

Working proof of concept:

  • Runs locally with Node.js.

  • Exposes a ChatGPT-compatible MCP endpoint at /mcp.

  • Can be exposed temporarily with Cloudflare Tunnel.

  • Has been successfully connected inside ChatGPT as ARTie Retirement Guide.

  • ChatGPT can call the tools and answer the demo retirement question.

Related MCP server: Local Financial MCP Mock Server

Run locally

node server.js

Local MCP URL:

http://localhost:8787/mcp

Health check:

http://localhost:8787/health

ChatGPT plugin fields

Name:

ARTie Retirement Guide

Description:

Provides synthetic retirement guidance for the ARTie concept demo.

Connection:

http://localhost:8787/mcp

Authentication:

No authentication

Demo prompt

I am Mia and I am 58 and exhausted. Can I afford to retire at 60?

This server uses fake member data only. It is not financial advice and does not connect to ART systems.

Available tools

  • get_member_profile

  • get_super_balance

  • run_retirement_projection

  • explain_insurance

  • book_adviser

  • model_part_time_transition

Temporary ChatGPT connection

For local testing, expose the local server with Cloudflare Tunnel:

.\cloudflared.exe tunnel --url http://localhost:8787

Use the generated HTTPS URL with /mcp:

https://example.trycloudflare.com/mcp

Do not use /sse for ChatGPT developer-mode apps. ChatGPT expects the /mcp endpoint.

Next direction

The next step is to remove the local dependency by deploying the server to a stable HTTPS host. See docs/NEXT_STEP_PLAN.md.

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityStale
ResponsivenessNo issues

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