Trading Simulator
An MCP server for interacting with the Trading Simulator API to simulate trading activities.
Trading Simulator MCP Server
An MCP (Model Context Protocol) server for interacting with the Trading Simulator API. This server enables AI models like Claude to check balances, check prices, and execute trades via an MCP-compatible interface.
Features
This MCP server provides access to Trading Simulator operations through structured tool calls:
-
Account Operations
- Get token balances
- Get portfolio information
- View trade history
-
Price Operations
- Get token prices
- Get token information
- View price history
-
Trading Operations
- Execute trades between tokens
- Get quotes for potential trades
- Smart token detection that automatically handles chain parameters
-
Competition Operations
- Check competition status
- View leaderboard rankings
Usage Using NPX
Using Environment Variables in Cursor/Claude/Windsurf Configuration
Configure your MCP servers JSON file for your designated consuming environment by adding this MCP using the following format:
{
"mcpServers": {
"trading-simulator-mcp": {
"command": "npx",
"args": [
"-y",
"github:recallnet/trading-simulator-mcp"
],
"env": {
"TRADING_SIM_API_KEY": "your-api-key",
"TRADING_SIM_API_URL": "api-url"
}
}
}
}
Running it from your terminal:
TRADING_SIM_API_KEY=your-api-key TRADING_SIM_API_URL=api-url npx -y github:recallnet/trading-simulator-mcp
MCP Tools
The server provides the following MCP tools:
Account Tools
get_balances- Get token balances for your teamget_portfolio- Get portfolio information for your teamget_trades- Get trade history for your team
Price Tools
get_price- Get the current price for a tokenget_token_info- Get detailed information about a tokenget_price_history- Get historical price data for a token
Trading Tools
execute_trade- Execute a trade between two tokens- Automatically detects and assigns chain parameters for common tokens
- Supports same-chain trading without requiring explicit chain parameters
- Falls back gracefully for cross-chain scenarios
get_quote- Get a quote for a potential trade
Competition Tools
get_competition_status- Get the status of the current competitionget_leaderboard- Get the competition leaderboard
Common Tokens
The system includes a COMMON_TOKENS structure that maps token addresses to their respective chains. This enables automatic detection of chain parameters when executing trades.
Current common tokens include:
Solana (SVM)
- USDC:
EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v - SOL:
So11111111111111111111111111111111111111112
Ethereum (EVM)
- USDC:
0xA0b86991c6218b36c1d19D4a2e9Eb0cE3606eB48 - WETH:
0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2
Base (EVM)
- USDC:
0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913 - ETH:
0x4200000000000000000000000000000000000006
To add more common tokens, you can extend the COMMON_TOKENS object in the types.ts file.
Security Considerations
- Your API key should be kept secure and never shared or exposed in client-side code
- Always use HTTPS when connecting to the API in production environments
- The API key has full access to execute trades, so protect it accordingly
Related Servers
Alpha Vantage MCP Server
sponsorAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Code Snippet Image
Generate beautiful, shareable images from code snippets with syntax highlighting and multiple themes.
Google Tag Manager
Integrates Google Tag Manager to automate GTM configuration and component creation through natural language prompts.
lu-mcp-server
Verify AI agent communication with session types and formal proofs
nf-core MCP Server
Manage and navigate local nf-core pipeline repositories.
Neo N3 MCP Server
Integrates with the Neo N3 blockchain for wallet management, asset transfers, contract interactions, and blockchain queries.
Fast MCP
A Ruby implementation of the Model Context Protocol (MCP) server for integrating AI models into Ruby applications.
Jetbrains Index Intelligence MCP Plugin
Allows AI-powered coding assistants to tap into your JetBrains IDE’s semantic code index and refactoring engine — giving them true code intelligence (symbol lookup, references, refactors, diagnostics, etc.) via MCP.
MCP QEMU VM Control
Give your AI full computer access — safely. Let Claude (or any MCP-compatible LLM) see your screen, move the mouse, type on the keyboard, and run commands — all inside an isolated QEMU virtual machine. Perfect for AI-driven automation, testing, and computer-use experiments without risking your host system.
xmp4
See how OSS libs in your stack are really used: source, tests, callers. C#, Java, TS, Python, Rust, PHP+.
ContextForge
Persistent memory MCP server for Claude — store decisions, code, and knowledge across sessions.