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.

ChatGPT Connected to integrated FastAPI-MCP Servers.. Technical Analysis (TA) report. From stocks to crypto.

Published: April 28, 2025

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Live at tigzig.com/technical-analysis-gpt with source codes

Punch in a Yahoo Finance symbol... stocks, index, oil, metals, crypto... give a timeframe for analysis - get back a nicely formatted TA report as PDF and Web URL - chart analysis done with Gemini vision.

I have made the MCP and FastAPI servers public. Servers, source codes, and build guides at the link above.

Custom GPTs are typically my first choice when an AI-powered UI is needed - running custom Python, database queries, or backend processing. Live examples and source codes at tigzig.com. Once the backend is ready and exposed via webhook or FastAPI - connecting to ChatGPT is straightforward - just needs a Custom Actions JSON schema in OpenAPI format - any LLM can generate it from API docs or code. Once OpenAI enables support for MCP SSE servers, it will get even simpler.

The backend here is a set of integrated FastAPI + MCP servers on a single deployment - connected to multiple interfaces - n8n MCP Client and AI agent via the MCP Server, and FastAPI endpoints for the Flask UI, a Next.js UI, ChatGPT and Excel (xlwings Lite). MCP Server mounted on existing FastAPI with Tadata's FastAPI-MCP package. Custom backend pulls data, processes with Python, analyzes charts with AI vision, and outputs formatted reports.

Fine print: This is not investment advice or investment research. Sharing a live tech example on combining ChatGPT and other interfaces with integrated FastAPI-MCP servers to run analysis and generate formatted PDF and HTML reports. AI can make mistakes - always validate outputs.

ChatGPT MCP Integration