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quanttogo-mcp
Macro-factor quantitative signal source for AI agents via MCP. 宏观因子量化信号源。
6stars
2forks
Python
ai-agentalgorithmic-tradingmacro-factorsmcpmcp-servermodel-context-protocolquantitative-financequantitative-tradingtrading-signals
Quality signals
ActiveNo testsNo CIThin docsNo licenseNew
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest QuantToGo/quanttogo-mcpAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
uvx quanttogo-mcp
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"quanttogo-mcp": {
"command": "uvx",
"args": [
"quanttogo-mcp"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
quanttogo-mcp — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt