openfinclaw-cli vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
openfinclaw-cli by mirror29 | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 63 | ★ 85,748 |
| 30d uses | — | — |
| Score | 46 | 77 |
| Official | — | ✓ |
| Categories | FinanceAI / LLM ToolsDeveloper Tools | File SystemDeveloper ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | this month | this month |
openfinclaw-cli · Summary
OpenFinClaw is an MCP server that provides AI-powered quant trading research, strategy generation, and backtesting capabilities across multiple AI platforms.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
openfinclaw-cli · Use cases
- Generate and backtest trading strategies through natural language prompts
- Access financial research and analysis across multiple markets
- Share and discover quant strategies through a community leaderboard
- Integrate quant trading capabilities into AI coding 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
openfinclaw-cli · Install
# Install with automatic configuration
npx @openfinclaw/cli@latest install
# Non-interactive install
npx @openfinclaw/cli@latest install --yes --platforms cursor,claude-code --tool-groups deepagent,strategy --api-key fch_xxx
# Configure Claude Desktop
# Add to ~/.claude/settings.json:
{
"mcpServers": {
"openfinclaw": {
"command": "npx",
"args": ["@openfinclaw/cli", "serve", "--tools=deepagent,strategy"],
"env": {
"OPENFINCLAW_API_KEY": "fch_xxx"
}
}
}
}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.