alpaca-mcp-server vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
alpaca-mcp-server by alpacahq | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 736 | ★ 85,748 |
| 30d uses | — | — |
| Score | 53 | 77 |
| Official | — | ✓ |
| Categories | FinanceDeveloper ToolsAI / LLM Tools | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 1 mo ago | this month |
alpaca-mcp-server · Summary
Alpaca's official MCP server enables natural language trading of stocks, ETFs, crypto, and options through AI assistants.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
alpaca-mcp-server · Use cases
- Automate stock and crypto trading through natural language commands in AI assistants
- Build and test investment strategies using LLM-powered tools
- Access real-time market data and portfolio information directly within development environments
filesystem · Use cases
- Enable AI models to read and write project files during development
- Allow Claude or other MCP clients to browse and analyze codebases
- Provide secure sandboxed access to specific directories for content generation
alpaca-mcp-server · Install
Installation
Prerequisites
- Python 3.10+
- uv
- Alpaca Trading API keys
- MCP client (Claude Desktop, Cursor, VS Code, etc.)
Setup (Claude Desktop)
Edit ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"alpaca": {
"command": "uvx",
"args": ["alpaca-mcp-server"],
"env": {
"ALPACA_API_KEY": "your_alpaca_api_key",
"ALPACA_SECRET_KEY": "your_alpaca_secret_key"
}
}
}
}Setup (Cursor)
Add to ~/.cursor/mcp.json:
{
"mcpServers": {
"alpaca": {
"command": "uvx",
"args": ["alpaca-mcp-server"],
"env": {
"ALPACA_API_KEY": "your_alpaca_api_key",
"ALPACA_SECRET_KEY": "your_alpaca_secret_key"
}
}
}
}filesystem · Install
Installation
Using NPX
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"/path/to/allowed/directory"
]
}
}
}Using Docker
{
"mcpServers": {
"filesystem": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
"mcp/filesystem",
"/projects"
]
}
}
}VS Code Extension
Click the installation buttons in the README to install directly in VS Code.