Best used with an AI agent

40+ live apps, open data APIs, MCP servers, and 200+ guides - more than anyone wants to click through. Point your AI here and it reads the whole map and does the work: finds the tool, pulls the data, runs the analysis, and hands you the links.

Here for the open-source code? Your agent finds the right repo for you - and can even clone and deploy it.

Prefer to explore on your own? Go right ahead.

Paste this to Claude Code, Codex, or any AI agent:
Go to tigzig.com and read tigzig.com/llms.txt. It is a practitioner toolkit - 40+ analytics apps, open no-auth data APIs, MCP servers, open-source repos (github.com/amararun), and 200+ build guides. Help me [your task]. Surface the exact links; where there is an API or MCP, call it directly; and if I want to self-host, find the repo and help me deploy it.

Pull your quants numbers directly with Claude / ChatGPT in Excel (with MCP).

Published: March 7, 2026

QREP Security Performance Report

Ask in plain English: "Pull all stats for Apple, Google, Microsoft past 10 years".

Get back 81 metrics - returns, sharpe, sortino, drawdowns - the whole bucket load.

Powered by Ran Aroussi's (creator of yfinance python library) QuantStats library.

Works with Claude in Excel, ChatGPT in Excel, Claude Desktop, Cursor, n8n, or any MCP client.

MCP Server URL: qrep-api.tigzig.com/mcp

The server is free to use (rate limits apply). Just add that URL as custom connector and you are set.

This is the public version. No API key. No auth. For production use, always use OAuth / SSO (see links below).

At the same time, my standard MCP advice still stands - don't connect to unknown MCP servers blind. Use servers from reputed providers, or ones you deploy yourself. If you'd like to implement, easiest way - paste this message to your AI Coder. It knows what to do.

Full source code is open. Single Python file. Clone it, inspect it, deploy your own.

Web version of QREP: qrep.tigzig.com

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