mrmarket.ai
A dedicated analytical engine for equity research that runs cross-dataset queries you can't get from a single API endpoint. Connect it to Claude, ChatGPT, or Gemini and ask questions like "stocks where insiders bought over $1M, free cash flow grew four quarters running, and the price sits below the 200-day moving average" in plain English. The query_data tool resolves screens, rankings, comparisons, and event studies across fundamentals, prices, earnings, and insider activity with point-in-time accuracy. Seven free tools handle pagination, catalog browsing, and account management. Metered pricing applies only to query_data. Covers 11,000+ US-listed equities with 20+ years of history. Reach for this when you need reproducible, multi-dimensional financial analysis without stitching together three different data vendors.
- GitHub stars
- 3
- tools
- 8
- transport
- HTTP
- last updated
- Jun 10, 2026
Tools
8 toolsPublic tool metadata for what this MCP can expose to an agent.
query_dataThe workhorse. A natural-language financial question in; structured rows and columns out. Screens, rankings, comparisons, time-series, cohort studies, and event studies are all single calls.
The workhorse. A natural-language financial question in; structured rows and columns out. Screens, rankings, comparisons, time-series, cohort studies, and event studies are all single calls.
No parameter schema in public metadata yet.
fetch_pageThe continuation. When a query_data result is too large for one response, page 1 comes back with a pagination.next_cursor; pass that cursor to fetch_page to retrieve the rest.
The continuation. When a query_data result is too large for one response, page 1 comes back with a pagination.next_cursor; pass that cursor to fetch_page to retrieve the rest.
No parameter schema in public metadata yet.
describe_dataThe data catalog. Browse categories and fields, or search for a specific metric, before composing a question.
The data catalog. Browse categories and fields, or search for a specific metric, before composing a question.
No parameter schema in public metadata yet.
get_symbolsFast ticker, sector, and industry resolution. Name to ticker, sector membership, or the full universe in under 50ms.
Fast ticker, sector, and industry resolution. Name to ticker, sector membership, or the full universe in under 50ms.
No parameter schema in public metadata yet.
getting_startedA structured orientation tour with verified example prompts, grouped by use case.
A structured orientation tour with verified example prompts, grouped by use case.
No parameter schema in public metadata yet.
recent_queriesYour recent queries, for context and re-runs.
Your recent queries, for context and re-runs.
No parameter schema in public metadata yet.
get_account_statusConnected account, plan tier, credit balance, and rate limits. A useful first call in any new session.
Connected account, plan tier, credit balance, and rate limits. A useful first call in any new session.
No parameter schema in public metadata yet.
report_issueFlag a result that looks wrong or a feature that is missing. Pass the query_id from the response so the trace can be investigated.
Flag a result that looks wrong or a feature that is missing. Pass the query_id from the response so the trace can be investigated.
No parameter schema in public metadata yet.
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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
Details
- Repository
- github.com/codinghaven/mrmarket-mcp
- Website
- mrmarket.ai
- Transport
- HTTP
- Registry
- MCP registry, active