ClaudeSuperPower
M

mrmarket.ai

MCP Server

Analytical engine for US-listed equities: screens, rankings, and event studies in plain English.

Install

claude mcp add --transport http mrmarket-mcp https://mcp.mrmarket.ai/mcp

What is mrmarket.ai?

Analytical engine for US-listed equities: screens, rankings, and event studies in plain English.

Trust

68/100 · Good

4 factors scored below maximum

Documentation

README · ~7 min read

mrmarket.ai MCP server

A purpose-built analytical engine for financial research, exposed over MCP. Ask hard questions about US-listed equities in plain English and get structured, reproducible results back.

mrmarket.ai is a remote MCP server. Connect it to Claude, ChatGPT, or Gemini and your assistant gains a dedicated engine for resolving financial questions against clean, structured market data. It is not a language model with a database bolted on, and it is not an API wrapper. You describe the analysis; the engine computes it and returns rows, columns, and the assumptions it applied.

The interesting questions in equity research require joins that no single API endpoint will run for you. "Stocks where insiders bought over $1M, free cash flow grew four quarters running, and the price sits below the 200-day moving average" spans insider filings, quarterly cash flow statements, and daily prices at once. mrmarket.ai is built for exactly that class of question.


Why it is different

  • Computed, not predicted. Answers are derived from the underlying data, not generated from a model's recollection. The same question returns the same answer every time.
  • Cross-dataset by design. Fundamentals, prices, earnings, and insider activity are resolved together in a single question, with time dimensions aligned across differing data frequencies.
  • Point-in-time aware. Historical and as-of questions respect the information available on the date in question, so backward-looking studies do not leak future data.
  • Built to fail loud. When a question falls outside coverage, the engine returns an explicit error rather than fabricating a plausible number.

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