everything vs ai-trader
Side-by-side comparison to help you pick between these two MCP servers.
everything by modelcontextprotocol | ai-trader by whchien | |
|---|---|---|
| Stars | ★ 85,748 | ★ 694 |
| 30d uses | — | — |
| Score | 77 | 52 |
| Official | ✓ | — |
| Categories | Developer ToolsAI / LLM ToolsOther | FinanceAI / LLM ToolsDeveloper Tools |
| Language | TypeScript | Python |
| Last commit | this month | 2 mo ago |
everything · Summary
Official MCP test server exercising all protocol features for client builders.
ai-trader · Summary
AI trader MCP server allows LLMs to run backtests, fetch market data, and analyze trading strategies across stocks, crypto, and forex.
everything · Use cases
- Testing MCP client implementations against all protocol features
- Learning MCP protocol capabilities through a reference server
- Validating client compatibility with different transport methods
ai-trader · Use cases
- AI assistants can run backtests with natural language commands like 'Run a backtest of CrossSMAStrategy on TSM data from 2020-2022'
- Traders can fetch market data through AI assistants for multiple markets with commands like 'Fetch Apple stock data from 2021 to 2024'
- Developers can list and analyze available trading strategies via the MCP server integration
everything · Install
NPX (recommended)
{
"mcpServers": {
"everything": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-everything"]
}
}
}On Windows, use cmd /c:
{
"mcpServers": {
"everything": {
"command": "cmd",
"args": ["/c", "npx", "-y", "@modelcontextprotocol/server-everything"]
}
}
}Docker
{
"mcpServers": {
"everything": {
"command": "docker",
"args": ["run", "-i", "--rm", "mcp/everything"]
}
}
}Global install
npm install -g @modelcontextprotocol/server-everything@latest
npx @modelcontextprotocol/server-everythingai-trader · Install
Installation
**Option A: Install from PyPI**
pip install ai-trader**Option B: Install from Source**
git clone https://github.com/whchien/ai-trader.git
cd ai-trader
uv syncMCP Server Configuration
**Start the Server (for testing):**
python -m ai_trader.mcp**Configure with Claude Desktop:** Add the ai-trader MCP server to your Claude Desktop configuration file:
{
"mcpServers": {
"ai-trader": {
"command": "python3",
"args": ["-m", "ai_trader.mcp"],
"cwd": "/path/to/ai-trader"
}
}
}