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wealvest-ai

README.md
# ๐Ÿ’ฐ WealVest AI

> **AI-powered financial analysis platform built with NitroStack MCP.**

WealVest AI demonstrates how the **Model Context Protocol (MCP)** can power modular AI-driven financial tools for investment analysis, risk assessment, market intelligence, and report generation.

> **Project Status:** ๐Ÿšง MVP Complete | Website Integration In Progress

---

## ๐Ÿ“– Overview

WealVest AI is an experimental financial intelligence platform built for the **NitroStack MCP Hackathon**.

The project exposes financial capabilities as MCP tools that can be executed from **NitroStudio**, showcasing how AI-powered financial workflows can be implemented using modular MCP architecture.

Current capabilities include:

- ๐Ÿ“Š Portfolio Analysis
- โš ๏ธ Risk Assessment
- ๐Ÿ“ˆ Investment Simulation
- ๐ŸŒ Market Intelligence
- ๐Ÿ“„ Financial Report Generation

---

# ๐Ÿ›  Tech Stack

## Frontend

- React
- TypeScript
- Tailwind CSS
- Vite

## Backend

- Node.js
- NitroStack MCP

## Development Tools

- NitroStudio
- TypeScript
- npm

---

# โœ… Current Status

## Successfully Implemented

### ๐Ÿ“Š Portfolio Analyzer

- Portfolio analysis workflow
- Financial input validation
- MCP Tool implementation
- Widget integration
- Portfolio insights

---

### โš ๏ธ Risk Assessment

- Risk profile analysis
- Financial scoring
- Risk recommendations
- MCP integration

---

### ๐Ÿ“ˆ Investment Simulator

- Investment projection
- Return estimation
- Future value calculation
- Financial simulations

---

### ๐ŸŒ Market Intelligence

- Market trend analysis
- Industry insights
- AI-assisted summaries

---

### ๐Ÿ“„ Report Generator

- Financial report generation
- Structured summaries
- Recommendation reports

---

### ๐Ÿ”Œ MCP Integration

- MCP Server
- Tool Registration
- Widget Registration
- NitroStudio Integration
- Modular Architecture

---

# โœ… Working Features

| Feature | Status |
|---------|--------|
| React Frontend | โœ… |
| Tailwind UI | โœ… |
| MCP Server | โœ… |
| Portfolio Analyzer | โœ… |
| Risk Assessment | โœ… |
| Investment Simulator | โœ… |
| Market Intelligence | โœ… |
| Report Generator | โœ… |
| NitroStudio Integration | โœ… |
| Widget Rendering | โœ… |
| Financial Tool Execution (NitroStudio) | โœ… |

---

# ๐Ÿšง Currently Under Development

The following functionality is **not yet implemented**:

- Website โ†” MCP communication
- Backend API integration
- Direct tool execution from the website
- Persistent user accounts
- Database integration
- Authentication
- Real-time financial data
- Production deployment

---

# ๐Ÿ— Architecture

```text
                React Website
                      โ”‚
                      โ”‚
          (UI Components Only)
                      โ”‚
                      โ–ผ
            NitroStudio (MCP Client)
                      โ”‚
                      โ–ผ
           NitroStack MCP Server
                      โ”‚
      โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
      โ”‚               โ”‚               โ”‚
      โ–ผ               โ–ผ               โ–ผ
 Portfolio       Risk Assessment   Investment Simulator

                      โ”‚
                      โ–ผ
           Market Intelligence

                      โ”‚
                      โ–ผ
             Report Generator
```

---

# โš ๏ธ Current Limitation

At present, the **financial tools are executed through NitroStudio**, which acts as the MCP client.

The React website currently provides the frontend interface but **does not yet communicate with the MCP server**.

This means:

- โœ… MCP tools work inside NitroStudio.
- โœ… Widgets render correctly in NitroStudio.
- โŒ The website cannot yet invoke MCP tools directly.

Backend integration between the website and the MCP server is planned for a future update.

---

# ๐Ÿš€ Future Roadmap

## Phase 1 โœ… (Completed)

- MCP server
- Financial tools
- NitroStudio integration
- Widget implementation
- Modular architecture

---

## Phase 2 ๐Ÿšง

- Backend API
- Website โ†” MCP integration
- Live financial analysis from the website
- User authentication
- Portfolio persistence
- Database support

---

## Phase 3 ๐Ÿ”ฎ

- AI investment recommendations
- Portfolio optimization
- Historical tracking
- PDF report export
- Cloud deployment
- Multi-user collaboration
- Real-time market APIs

---

# โ–ถ๏ธ Getting Started

Clone the repository:

```bash
git clone https://github.com/rhll07/wealvest-ai.git
```

Move into the project:

```bash
cd wealvest-ai
```

Install dependencies:

```bash
npm install
```

Run the development server:

```bash
npm run dev
```

---

# ๐Ÿงช Demo

Current demonstrations are performed through **NitroStudio**, where all implemented MCP tools can be executed and tested.

Available demo tools:

- ๐Ÿ“Š Portfolio Analyzer
- โš ๏ธ Risk Assessment
- ๐Ÿ“ˆ Investment Simulator
- ๐ŸŒ Market Intelligence
- ๐Ÿ“„ Report Generator

---

# ๐Ÿค Contributing

Contributions, feature suggestions, and bug reports are always welcome.

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Open a Pull Request

---

# ๐Ÿ“„ License

This project is licensed under the **MIT License**.

---

# ๐Ÿ‘จโ€๐Ÿ’ป Author

**Rahul Krishna R**

If you found this project helpful or interesting, consider giving it a โญ on GitHub!

TDQS

B3.4/5.0

Scored across 5 tools

Disambiguation4/5

Each tool targets a distinct aspect of wealth analysis: portfolio analysis, risk assessment, simulation, market insights, and report generation. The descriptions clarify the overlap between analyze_portfolio and assess_risk, making them distinguishable by focus.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case, such as 'analyze_portfolio' and 'generate_report'. This creates a predictable and readable naming convention throughout.

Tool Count5/5

With only 5 tools, the server is well-scoped for its purpose. Each tool provides a distinct and necessary function for wealth analysis without redundancy or missing core capabilities.

Completeness4/5

The set covers the core workflow of portfolio analysis, risk evaluation, investment simulation, market context, and report generation. Minor gaps such as portfolio modification or personalized recommendations exist but are likely outside the intended scope.

Maintenance

ActivityStale
ResponsivenessNo issues