TREMOR Macro Indicators
About 300 curated macro and credit-stress indicators (FRED, OECD, RBI, NY Fed, NCUA, FDIC, Shiller, NSE). Streamable HTTP + SSE; the same data is an open HTTP API too.
Every Tigzig MCP server, its docs, the guides on how to use it, security notes, and the live apps, tools and custom GPTs that run on the same backends. Connect a server, read a guide, or open an app.
Each server has a docs page with its endpoint, transport and tools. Where a server also has a live web app or a connected custom GPT, those are linked too.
About 300 curated macro and credit-stress indicators (FRED, OECD, RBI, NY Fed, NCUA, FDIC, Shiller, NSE). Streamable HTTP + SSE; the same data is an open HTTP API too.
Read-only SQL against Postgres + DuckDB - about 2M rows of cricket ball-by-ball data. 23-layer security stack. No web app; reach it through a connected GPT or any MCP client.
Compare up to 6 securities with 80+ QuantStats metrics - returns, drawdown, Sharpe and more, as PDF/HTML reports.
A technical-analysis report for any ticker - indicator computations plus a Gemini-Vision chart read. PDF and web output.
A multi-security performance and risk comparison report (returns, drawdown, Sharpe and more) from a list of tickers.
Price, profile and financials for any ticker, with Excel-export variants (about 15 endpoints).
Convert Markdown to a formatted PDF as a tool call (ReportLab). The PDF engine behind several Tigzig tools - ask an agent for a PDF and it calls this.
Hands-on guides on MCP servers, connectors and agents - connecting Claude, ChatGPT and Excel to live backends, building MCP workflows, and securing an MCP server. Newest first.
An MCP server is an API surface like any other, so the same hardening applies. How much depends on what your server actually does.
The Tigzig security checklist covers all of it - React, FastAPI, Postgres, DuckDB, Cloudflare and a dedicated MCP section.
Want to see a backend in action? These live apps, tools and custom GPTs run on the SAME APIs and MCP servers above - the Technical Analysis, Security Performance, Yahoo Finance and Markdown-to-PDF backends power all of them.
An MCP agent (not just a server) for portfolio analytics - it drives QuantStats over a conversation. Open the app, or read the docs to mount it.
Web app running the Technical Analysis, Security Performance and Yahoo Finance backends together - QuantStats, SPR and TA reports in one place.
Chat with any database. Ask the agent to convert an analysis to PDF and it calls the Markdown-to-PDF backend.
The web front end for the Markdown-to-PDF backend - paste markdown, download a PDF.
Several ChatGPT custom GPTs are wired to these same backends - Multi-Database, Quants, and Technical Analysis.
Low-code agent flows that mount these MCP servers to produce reports and PDFs.