💰 FUNDING NEWS: Hushh.ai Secures $5 Million Strategic Investment from hushhTech.com's Evergreen Renaissance AI Fund

💰 FUNDING NEWS: Hushh.ai Secures $5 Million Strategic Investment from hushhTech.com's Evergreen Renaissance AI Fund

💰 FUNDING NEWS: Hushh.ai Secures $5 Million Strategic Investment from hushhTech.com's Evergreen Renaissance AI Fund

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Hushh Plaid Financial Profile Creation Agent

Create and sync Plaid financial profiles with MCP + Supabase in one flow.

This page wraps the end-to-end JSON-RPC flow described in the platform docs: capture a user instruction, let the agent extract structured fields, and push a new financial profile into Supabase through the MCP server.

LLM model

OpenAI GPT-4.0 mini

Transport

JSON-RPC 2.0 via MuleSoft

Data store

Supabase via MCP insert_user

Overview

An AI-driven automation agent that converts natural language or semi-structured financial inputs into new Supabase user profiles. It keeps personalization, analytics, and recommendations in sync with Plaid-sourced data.

Account + contact enrichment

Transactions, investments, liabilities

Timestamped confirmations

Integration Flow

1) MuleSoft crafts JSON-RPC from a user or backend instruction.

2) Agent parses fields and calls the MCP server.

3) MCP insert_user writes to Supabase.

4) Structured confirmation returns to the Hushh interface.

Functional Workflow

Step 1

User input

Natural language prompt (or backend trigger) containing raw financial profile details.

Step 2

Agent invocation

MuleSoft crafts a JSON-RPC 2.0 POST to the Plaid Financial Profile Creation Agent.

Step 3

Intent extraction

LLM parses account, contact, transactions, investments, and liability data points.

Step 4

MCP + Supabase

MCP server executes insert_user to persist the unified record in Supabase.

Step 5

Confirmation

Agent returns a structured success payload with timestamps and tracking IDs.

Quick testing presets

Load sample values from the documentation to test the flow in one click.

Agent Request Builder

Compose the JSON-RPC request the same way MuleSoft does. The agent consumes your natural language prompt plus the embedded profile JSON and then calls MCP for insertion.

Session ID

Task ID

User prompt

Financial profile payload


Request preview

Add or load a profile JSON payload to preview the request.

Direct MCP call (insert_user)

Validate how MCP ingests structured arguments without the agent layer. Use the same request object your MuleSoft flow would POST.

tools/call payload

Response console

Responses from the agent and MCP are captured here for quick debugging and demo purposes.


No calls yet. Trigger a request to see responses.

Error handling

400

Invalid JSON-RPC format

Validate request schema and required keys.

401

Unauthorized

Check MuleSoft credentials and headers.

404

Required fields missing

Provide mandatory profile parameters.

409

Duplicate user

Verify user identity before retrying.

500

Internal Agent Error

Retry or escalate to the platform team.

TIMEOUT

MCP server delay

Increase timeout or retry the request.

Security & privacy

• HTTPS enforced across agent and MCP endpoints.

• Only authorized MuleSoft flows can initiate profile creation.

• Supabase credentials remain isolated inside MCP.

Versioning

v1.0.0 — Initial Hushh Plaid Financial Profile Creation Agent release.

API endpoints

Agent: https://hushh-plaid-agent-app-bubqpu.5sc6y6-4.usa-e2.cloudhub.io/plaid-agent

MCP Server: https://hushh-plaid-mcp-server-app-bubqpu.5sc6y6-4.usa-e2.cloudhub.io/mcp

Method: POST with Content-Type: application/json