Prop Trading MCP Server
# Prop Trading MCP Server
An MCP (Model Context Protocol) server that exposes futures prop firm data and personalized recommendation logic to AI agents like Claude and ChatGPT.
## Features
- **12 Prop Firms**: Complete data on Apex, Topstep, MFFU, TradeDay, BluSky, TPT, Earn2Trade, Elite, Bulenox, Alpha, Tradeify, and Lucid
- **Smart Recommendations**: Sophisticated scoring algorithm considers experience, budget, trading style, and dealbreakers
- **6 MCP Tools**: List, search, compare, get details, get quiz questions, and get recommendations
- **Affiliate Link Support**: Environment variables for referral tracking
## Installation
### Option 1: NPX (Easiest - No Installation Required)
Just add to your `claude_desktop_config.json`:
```json
{
"mcpServers": {
"prop-trading": {
"command": "npx",
"args": ["-y", "@modryn-studio/prop-trading-mcp"]
}
}
}
```
Restart Claude Desktop and you're done! 🎉
### Option 2: Auto-Installer
```bash
npx @modryn-studio/prop-trading-mcp-install
```
This automatically updates your Claude config file.
### Option 3: Manual Installation
```bash
# Clone the repository
git clone https://github.com/modryn-studio/prop-trading-mcp
cd prop-trading-mcp
# Install dependencies
npm install
# Build
npm run build
# Auto-configure Claude Desktop
npm run install-claude
```
### Finding Your Config File
- **Windows**: `%APPDATA%\Claude\claude_desktop_config.json`
- **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`
- **Linux**: `~/.config/claude/claude_desktop_config.json`
## Usage with Claude Desktop
After installation, restart Claude Desktop. The server will automatically start when Claude needs it.
**Test it:** Ask Claude "What prop firms do you have data on?"
### Adding Affiliate IDs (Optional)
### Adding Affiliate IDs (Optional)
Edit your `claude_desktop_config.json` to add environment variables:
```json
{
"mcpServers": {
"prop-trading": {
"command": "npx",
"args": ["-y", "@modryn-studio/prop-trading-mcp"],
"env": {
"APEX_AFFILIATE_ID": "your-apex-id",
"MFFU_AFFILIATE_ID": "your-mffu-id",
"TOPSTEP_AFFILIATE_ID": "your-topstep-id"
}
}
}
}
```
See [Environment Variables](#environment-variables) section for all 12 firm IDs.
## Available Tools
### 1. `list_firms`
List all 12 prop trading firms with summary information.
**Example prompt**: "What prop firms do you have data on?"
### 2. `get_firm`
Get detailed information about a specific firm.
**Parameters**:
- `slug` (required): Firm identifier (apex, topstep, mffu, tradeday, blusky, tpt, earn2trade, elite, bulenox, alpha, tradeify, lucid)
**Example prompt**: "Tell me about MyFundedFutures"
### 3. `compare_firms`
Side-by-side comparison of 2-4 firms.
**Parameters**:
- `slugs` (required): Array of 2-4 firm slugs
- `metrics` (optional): Specific metrics to compare
**Example prompt**: "Compare Apex vs MFFU vs Topstep"
### 4. `search_firms`
Filter firms by criteria.
**Parameters**:
- `maxBudget`: Maximum monthly budget in USD
- `paymentType`: "monthly", "one_time", or "either"
- `minTrustpilot`: Minimum Trustpilot rating
- `noConsistencyRule`: Only firms without consistency rules
- `allowsOvernightHolding`: Only firms allowing overnight positions
- `noActivationFee`: Only firms without activation fees
- `payoutSpeed`: "instant", "same_day", "weekly", or "any"
**Example prompt**: "Show me firms under $100/month with no consistency rule"
### 5. `recommend` ⭐ (Core Tool)
Get personalized firm recommendations based on trader preferences.
**Parameters**:
- `experience` (required): "less_than_6mo", "6_to_12mo", "1_to_3yr", "3yr_plus"
- `budget` (required): "under_100", "100_to_200", "200_to_400", "400_plus"
- `tradingStyle` (required): "scalping", "day_trading", "swing_trading", "mixed"
- `situation`: "first_time", "attempted_not_passed", "passed_didnt_work", "currently_funded"
- `paymentPreference`: "monthly", "one_time", "no_preference"
- `biggestConcern`: "drawdown_limits", "consistency_rules", "overnight_restrictions", "time_pressure", "payout_restrictions", "not_sure"
- `payoutPriority`: "critical", "important", "flexible", "other_factors"
- `supportNeeds`: "none", "minimal", "moderate", "significant"
- `dealbreakers`: Array of dealbreakers (e.g., ["monthly_fees", "consistency_rules"])
**Example prompt**: "I'm a beginner day trader with $150 budget. I hate consistency rules and want fast payouts. What prop firm should I use?"
### 6. `get_quiz_questions`
Get all quiz questions for conducting an interactive recommendation flow.
**Example prompt**: "Walk me through the prop firm quiz"
## Development
```bash
# Build
npm run build
# Build in watch mode
npm run dev
# Type checking
npm run typecheck
# Test with MCP Inspector
npm run inspect
```
## Environment Variables
Optional affiliate IDs for referral tracking:
```env
APEX_AFFILIATE_ID=
TOPSTEP_AFFILIATE_ID=
MFFU_AFFILIATE_ID=
TRADEDAY_AFFILIATE_ID=
BLUSKY_AFFILIATE_ID=
TPT_AFFILIATE_ID=
EARN2TRADE_AFFILIATE_ID=
ELITE_AFFILIATE_ID=
BULENOX_AFFILIATE_ID=
ALPHA_AFFILIATE_ID=
TRADEIFY_AFFILIATE_ID=
LUCID_AFFILIATE_ID=
```
## Scoring Algorithm
The recommendation engine uses a sophisticated scoring system:
1. **Initialize**: All firms start at score 0
2. **Rising Star Boost**: Lucid gets +2 (new firm with high ratings)
3. **Score Each Question**: Add/subtract points based on answers
4. **Apply Dealbreakers**: Eliminate firms matching hard dealbreakers
5. **Sort Results**: By score DESC, Trustpilot DESC as tiebreaker
6. **Calculate Match Strength**: Capped at 95%
7. **Return Top 3**: Plus eliminated firms with reasons
## Prop Firms Included
| Firm | Key Strength | Trustpilot |
|------|-------------|------------|
| Apex Trader Funding | 100% first $25K, up to 20 accounts | 4.5 |
| Topstep | Most established (2012), best education | 3.6 |
| MyFundedFutures | 32-min avg payouts, no activation fee | 4.9 |
| TradeDay | 1-day minimum, path to live capital | 4.7 |
| BluSky Trading | Daily payouts, same-day processing | 4.8 |
| Take Profit Trader | Day-one withdrawals, no consistency in funded | 4.4 |
| Earn2Trade | Best education, Career Path to $400K | 4.6 |
| Elite Trader Funding | Diamond Hands allows overnight/weekend | 4.5 |
| Bulenox | One-time fee, no monthly recurring | 4.8 |
| Alpha Futures | Top-rated newcomer, excellent support | 4.9 |
| Tradeify | 60-min automated payouts | 4.7 |
| Lucid Trading | ~15 min payouts, one-time fee | 4.8 |
## License
MIT
## Related
- [Futures Prop Tool](https://futuresproptool.com) - The web quiz this server is based on
- [MCP Protocol](https://modelcontextprotocol.io) - Model Context Protocol specification
TDQS
Scored across 6 tools
The tools mostly target distinct needs: get_firm (single detail), list_firms (all summaries), search_firms (filtered), compare_firms (side-by-side), recommend (personalized), and get_quiz_questions (quiz data). The main overlap is between list_firms and search_firms, since searching with no criteria effectively produces a list, but descriptions clarify the boundaries well enough.
Most tools follow a clear verb_noun pattern (get_firm, compare_firms, search_firms, list_firms, get_quiz_questions). The lone deviation is 'recommend', which is a bare verb without a noun, but it is still readable and unambiguous.
Six tools is well-scoped for a prop firm comparison and recommendation service. Each tool handles a distinct operation (list, detail, search, compare, recommend, quiz) with no redundant entries.
The surface covers the full lifecycle of the domain: browsing (list/search), inspecting (get_firm), comparing (compare_firms), personalized matching (recommend plus get_quiz_questions), with referral links surfaced. No obvious gaps remain for the stated purpose.