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.

Build AI Workflows with MCP Servers + n8n

Published: April 22, 2025

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AI-powered technical analysis - live app at mcp.tigzig.com - open source

The app generates tech indicators from Yahoo Finance price data, feeds into Gemini Vision for AI chart analysis, and outputs as PDF + web reports. Powered by custom-built plug-and-play MCP servers on the backend.

This setup was made possible by recent releases from Tadata and n8n. Tadata's FastAPI-MCP lets you turn any FastAPI into an MCP server in just a few lines of code, with both servers live in a single deployment... and n8n's new MCP Client node connects instantly to any SSE-based MCP server - elegant and powerful tools.

I use FastAPI extensively for both agentic and non-agentic workflows. The ease of use, flexibility, and reusability is huge with MCP. My integrated FastAPI-MCP server run on a Docker-containerized setup and are now connected to AI Agents, n8n, Flowise, a form-based Flask UI, and Excel via xlwings Lite. Previous posts cover these, with live apps and source codes on site.

Yes, MCP has vulnerabilities, and I am still battle testing it ... but the ecosystem is evolving fast - and solutions are coming up as we speak.

I've made the MCP servers public - clone or connect directly. Head over to mcp.tigzig.com for server URLs, tech setup, how it works, n8n schema, and full source code with build guides.

Huge thanks to the Tadata team - Shahar Abramov, Tori Seidenstein, Michael Makhlevich, Itay Shemer - for a solid product and for pushing enhancements at a rapid pace …the recent httpx client dependency injection for timeout handling made a big difference in getting this setup running.

Note: This is not investment advice or investment research, but a tech example on how to combine AI, MCP and analytics workflows.

MCP Servers Architecture