Is the mrmarket.ai MCP server free to use?

Yes. mrmarket.ai is listed on AllMCPs as a free, open Model Context Protocol server you can install into Claude Desktop, Cursor, or any MCP-compatible client.

Is the mrmarket.ai MCP server free to use?

Yes. mrmarket.ai is listed on AllMCPs as a free, open Model Context Protocol server you can install into Claude Desktop, Cursor, or any MCP-compatible client.

Mrmarket.ai

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Install Config Generator

Choose your client

claude_desktop_config.json

{
  "mcpServers": {
    "mrmarket-ai": {
      "command": "npx",
      "args": [
        "-y",
        "https://mrmarket.ai"
      ]
    }
  }
}

💡 Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Capabilities & Tool Schemas (8)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Mrmarket.ai.

query_data

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.

fetch_page

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. It runs no new query, so it never costs credits — the original `query_data` is charged once.

describe_data

The data catalog. Browse categories and fields, or search for a specific metric, before composing a question.

get_symbols

Fast ticker, sector, and industry resolution. Name to ticker, sector membership, or the full universe in under 50ms.

getting_started

A structured orientation tour with verified example prompts, grouped by use case.

recent_queries

Your recent queries, for context and re-runs.

Documentation Overview

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.
Transparent. Every result carries the assumptions and defaults that were applied, so they can be inspected and adjusted.

Connect

mrmarket.ai is a remote MCP server reachable at:

Code

https://mcp.mrmarket.ai/mcp

Each connection is tied to a free account so that credit balance and rate limits apply correctly. Authorization happens over OAuth on first use. Create an account and manage connections at mrmarket.ai/connect.

Claude Code

Terminal

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

Claude Desktop

Open Settings, go to Connectors, choose Add custom connector, and paste the endpoint:

Code

https://mcp.mrmarket.ai/mcp

Claude prompts for authorization on first use. Note that editing claude_desktop_config.json by hand does not work for this server; that file only accepts local, command-based servers, and mrmarket.ai is remote.

ChatGPT

In Settings, open Connectors, choose Add custom connector, and point it at the same endpoint.

Gemini

Add it as a remote MCP extension when prompted by Gemini's MCP onboarding, using the same endpoint.

Tools

Tool	Cost	Purpose
`query_data`	metered	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.
`fetch_page`	free	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. It runs no new query, so it never costs credits — the original `query_data` is charged once.
`describe_data`	free	The data catalog. Browse categories and fields, or search for a specific metric, before composing a question.
`get_symbols`	free	Fast ticker, sector, and industry resolution. Name to ticker, sector membership, or the full universe in under 50ms.
`getting_started`	free	A structured orientation tour with verified example prompts, grouped by use case.
`recent_queries`	free	Your recent queries, for context and re-runs.
`get_account_status`	free	Connected account, plan tier, credit balance, and rate limits. A useful first call in any new session.
`report_issue`	free	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.

Seven of the eight tools cost zero credits. Only query_data consumes credits, priced by query complexity. Start with getting_started or describe_data, then move to query_data.

What you can ask

Every prompt below resolves in a single query_data call. Phrase questions the way an analyst would speak them, not as a list of column filters.

Screens

Code

Technology stocks with ROIC above 20%, debt-to-equity below 0.5, and 5-year revenue CAGR above 10%.
Healthcare companies with positive free cash flow and gross margin above 50%.
Companies with four consecutive quarters of growing free cash flow.

Rankings

Code

Top 20 stocks by ROIC, excluding financials.
Top 15 companies by smoothness of year-over-year revenue growth over the last five fiscal years.
Bottom 10 consumer discretionary stocks by 1-year total return.

Comparisons

Code

Compare AAPL, MSFT, and GOOGL on revenue and net income over the last five years.
AMZN versus WMT operating margin trend over the last decade.
NVDA quarterly EPS surprise history.

Cohort-relative analysis

Code

Stocks whose ROIC is at least one standard deviation above their sector average.
Companies with a net profit margin more than twice their sector average.
Companies with revenue growth in the top quartile of their industry.

Time-series and overlays

Code

AAPL daily closes for the last five years with earnings dates overlaid.
MSFT price with insider buy and sell markers over the past two years.
50-day and 200-day moving averages for TSLA.

Event studies

Code

Average 30-day return after companies beat earnings by more than 10 percent.
Forward 3-month returns following insider purchases above $1M, grouped by sector.
Across the large-cap universe, the correlation between monthly insider purchase count and the next 3-month return.

Multi-step research, driven by your assistant

Larger studies decompose into several calls that your assistant orchestrates while mrmarket.ai supplies the ground truth at each step:

Code

For every large-cap stock that gapped down 5 percent or more after earnings in the
past two years, what is the 30, 60, and 90-day recovery rate, and is it statistically
significant against random 90-day windows?

Code

Backtest this signal: buy stocks with insider purchases above $500K within 30 days
before earnings that then beat EPS estimates, hold for 63 trading days, and report
CAGR, maximum drawdown, and win rate against buying every post-beat stock.

Code

Build a pre-earnings watchlist: companies reporting in the next two weeks where
insiders bought in the last 90 days, the stock trades below its 200-day moving
average, and they beat estimates last quarter.

Coverage


Universe	11,000+ US-listed stocks and ETFs (NYSE, NASDAQ, AMEX)
History	20+ years of financials on US equities
Response time	Under 10 seconds for typical questions

Data spans daily adjusted prices, annual and quarterly financial statements (income statement, balance sheet, cash flow), earnings actuals against estimates, insider transactions, and valuation snapshots, alongside computed metrics such as ROIC, free cash flow, debt-to-equity, ROE, margins, returns, and earnings surprise. Sourced with point-in-time accuracy and curated for cross-dataset queries.

Scope

mrmarket.ai is a research and analysis layer, not a brokerage and not a real-time feed. Prices are end-of-day. The following are out of scope: intraday and tick data, options chains, news and transcript text, raw filing text, macro series, FX, crypto, bonds, and futures. When a question reaches an edge, the engine reports it rather than guessing.

Troubleshooting

Every query_data response carries a stable error_code, plus warnings and assumptions arrays that explain how the question was interpreted. Read those first; they usually point at the cause.

Symptom	What it means	What to do
`QUERY_NOT_UNDERSTOOD`	The question was ambiguous or referenced an unsupported metric.	Rephrase with specifics (period type, time range, ranking criterion). Use `describe_data` to confirm a field exists.
`RATE_LIMITED`	You hit your tier's per-minute or per-day cap.	Wait briefly, or check `get_account_status` for your exact limits.
`INSUFFICIENT_CREDITS`	Your credit balance is exhausted.	Top up or upgrade at mrmarket.ai. Not a fault, no retry needed.
`SCHEMA_DRIFT`	A data field is temporarily unavailable (mid-update).	Rephrase without the affected scope and try again.
`INVALID_CURSOR` / `SNAPSHOT_EXPIRED`	A `fetch_page` cursor was malformed or its result snapshot aged out (snapshots live ~15 minutes).	Re-run the original `query_data` question to get a fresh result and cursor.
`BILLING_UNAVAILABLE` / `SERVICE_ERROR`	A transient server-side issue.	Retry once; the `retryable` flag will be set.
Empty result on a screen	Filters were too tight.	Loosen one threshold (e.g. ROIC > 15% instead of 25%) or widen the time range.
A result looks wrong	An assumption or default may not match your intent.	Read the `assumptions` array. If it still looks wrong, file it with `report_issue` (include the `query_id`).

For a guided tour of capabilities, limits, and worked examples at any time, call the free getting_started tool.

Support

Report a wrong result, bug, or feature request with the report_issue tool. Pass the query_id from the response so the exact run can be investigated. This is the fastest path because it links directly to the query trace.
Email: support@mrmarket.ai

Related MCP Servers

View all in Finance & Fintech View all alternatives

Frequently Asked Questions about Mrmarket.ai

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mrmarket-ai": { "command": "npx", "args": ["-y", "mrmarket.ai"] } }

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Technical Specs & Signals

CategoryFinance & Fintech

51Quality signal: Good · 51/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools25/30

Adoption & activity3/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

★ Featured

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More in 💰 Finance & Fintech →Best MCP servers for Finance & Fintech →Alternatives to Mrmarket.ai →Install in Claude Desktop Install in Cursor Install in VS Code

Mrmarket.ai

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Install Config Generator

Choose your client

claude_desktop_config.json

{
  "mcpServers": {
    "mrmarket-ai": {
      "command": "npx",
      "args": [
        "-y",
        "https://mrmarket.ai"
      ]
    }
  }
}

💡 Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Capabilities & Tool Schemas (8)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Mrmarket.ai.

query_data

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.

fetch_page

describe_data

The data catalog. Browse categories and fields, or search for a specific metric, before composing a question.

get_symbols

Fast ticker, sector, and industry resolution. Name to ticker, sector membership, or the full universe in under 50ms.

getting_started

A structured orientation tour with verified example prompts, grouped by use case.

recent_queries

Your recent queries, for context and re-runs.

Documentation Overview

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.

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.
Transparent. Every result carries the assumptions and defaults that were applied, so they can be inspected and adjusted.

Connect

mrmarket.ai is a remote MCP server reachable at:

Code

https://mcp.mrmarket.ai/mcp

Claude Code

Terminal

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

Claude Desktop

Open Settings, go to Connectors, choose Add custom connector, and paste the endpoint:

Code

https://mcp.mrmarket.ai/mcp

ChatGPT

In Settings, open Connectors, choose Add custom connector, and point it at the same endpoint.

Gemini

Add it as a remote MCP extension when prompted by Gemini's MCP onboarding, using the same endpoint.

Tools

Tool	Cost	Purpose
`query_data`	metered	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.
`fetch_page`	free	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. It runs no new query, so it never costs credits — the original `query_data` is charged once.
`describe_data`	free	The data catalog. Browse categories and fields, or search for a specific metric, before composing a question.
`get_symbols`	free	Fast ticker, sector, and industry resolution. Name to ticker, sector membership, or the full universe in under 50ms.
`getting_started`	free	A structured orientation tour with verified example prompts, grouped by use case.
`recent_queries`	free	Your recent queries, for context and re-runs.
`get_account_status`	free	Connected account, plan tier, credit balance, and rate limits. A useful first call in any new session.
`report_issue`	free	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.

Seven of the eight tools cost zero credits. Only query_data consumes credits, priced by query complexity. Start with getting_started or describe_data, then move to query_data.

What you can ask

Every prompt below resolves in a single query_data call. Phrase questions the way an analyst would speak them, not as a list of column filters.

Screens

Code

Technology stocks with ROIC above 20%, debt-to-equity below 0.5, and 5-year revenue CAGR above 10%.
Healthcare companies with positive free cash flow and gross margin above 50%.
Companies with four consecutive quarters of growing free cash flow.

Rankings

Code

Top 20 stocks by ROIC, excluding financials.
Top 15 companies by smoothness of year-over-year revenue growth over the last five fiscal years.
Bottom 10 consumer discretionary stocks by 1-year total return.

Comparisons

Code

Compare AAPL, MSFT, and GOOGL on revenue and net income over the last five years.
AMZN versus WMT operating margin trend over the last decade.
NVDA quarterly EPS surprise history.

Cohort-relative analysis

Code

Stocks whose ROIC is at least one standard deviation above their sector average.
Companies with a net profit margin more than twice their sector average.
Companies with revenue growth in the top quartile of their industry.

Time-series and overlays

Code

AAPL daily closes for the last five years with earnings dates overlaid.
MSFT price with insider buy and sell markers over the past two years.
50-day and 200-day moving averages for TSLA.

Event studies

Code

Average 30-day return after companies beat earnings by more than 10 percent.
Forward 3-month returns following insider purchases above $1M, grouped by sector.
Across the large-cap universe, the correlation between monthly insider purchase count and the next 3-month return.

Multi-step research, driven by your assistant

Larger studies decompose into several calls that your assistant orchestrates while mrmarket.ai supplies the ground truth at each step:

Code

For every large-cap stock that gapped down 5 percent or more after earnings in the
past two years, what is the 30, 60, and 90-day recovery rate, and is it statistically
significant against random 90-day windows?

Code

Backtest this signal: buy stocks with insider purchases above $500K within 30 days
before earnings that then beat EPS estimates, hold for 63 trading days, and report
CAGR, maximum drawdown, and win rate against buying every post-beat stock.

Code

Build a pre-earnings watchlist: companies reporting in the next two weeks where
insiders bought in the last 90 days, the stock trades below its 200-day moving
average, and they beat estimates last quarter.

Coverage


Universe	11,000+ US-listed stocks and ETFs (NYSE, NASDAQ, AMEX)
History	20+ years of financials on US equities
Response time	Under 10 seconds for typical questions

Scope

Troubleshooting

Every query_data response carries a stable error_code, plus warnings and assumptions arrays that explain how the question was interpreted. Read those first; they usually point at the cause.

Symptom	What it means	What to do
`QUERY_NOT_UNDERSTOOD`	The question was ambiguous or referenced an unsupported metric.	Rephrase with specifics (period type, time range, ranking criterion). Use `describe_data` to confirm a field exists.
`RATE_LIMITED`	You hit your tier's per-minute or per-day cap.	Wait briefly, or check `get_account_status` for your exact limits.
`INSUFFICIENT_CREDITS`	Your credit balance is exhausted.	Top up or upgrade at mrmarket.ai. Not a fault, no retry needed.
`SCHEMA_DRIFT`	A data field is temporarily unavailable (mid-update).	Rephrase without the affected scope and try again.
`INVALID_CURSOR` / `SNAPSHOT_EXPIRED`	A `fetch_page` cursor was malformed or its result snapshot aged out (snapshots live ~15 minutes).	Re-run the original `query_data` question to get a fresh result and cursor.
`BILLING_UNAVAILABLE` / `SERVICE_ERROR`	A transient server-side issue.	Retry once; the `retryable` flag will be set.
Empty result on a screen	Filters were too tight.	Loosen one threshold (e.g. ROIC > 15% instead of 25%) or widen the time range.
A result looks wrong	An assumption or default may not match your intent.	Read the `assumptions` array. If it still looks wrong, file it with `report_issue` (include the `query_id`).

For a guided tour of capabilities, limits, and worked examples at any time, call the free getting_started tool.

Support

Report a wrong result, bug, or feature request with the report_issue tool. Pass the query_id from the response so the exact run can be investigated. This is the fastest path because it links directly to the query trace.
Email: support@mrmarket.ai

Related MCP Servers

View all in Finance & Fintech View all alternatives

Frequently Asked Questions about Mrmarket.ai

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mrmarket-ai": { "command": "npx", "args": ["-y", "mrmarket.ai"] } }

AllMCPs Directory Badge

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Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

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Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/mrmarket-ai?style=directory)](https://allmcps.com/mcp/mrmarket-ai)

HTML Embed

<a href="https://allmcps.com/mcp/mrmarket-ai"><img src="https://allmcps.com/api/badge/mrmarket-ai?style=directory" alt="Mrmarket.ai on AllMCPs" /></a>

Technical Specs & Signals

CategoryFinance & Fintech

51Quality signal: Good · 51/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools25/30

Adoption & activity3/15

Community engagement0/10

★ Featured

Moxie Docs MCP

MCP & Agent Skills for Automated Documentation, and codebase conventions + context

Explore Server →

Own this project?

This directory is pre-filled from public sources. Claim via GitHub README, site badge, or DNS TXT to get the verified badge.

Free dofollow backlink: after claiming, verify your product site and place a dofollow AllMCPs badge — we recheck it stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 💰 Finance & Fintech →Best MCP servers for Finance & Fintech →Alternatives to Mrmarket.ai →Install in Claude Desktop Install in Cursor Install in VS Code

Mrmarket.ai

Quick Install

Install Config Generator

Documentation Overview

mrmarket.ai MCP server

Why it is different

Connect

Claude Code

Claude Desktop

ChatGPT

Gemini

Tools

What you can ask

Screens

Rankings

Comparisons

Cohort-relative analysis

Time-series and overlays

Event studies

Multi-step research, driven by your assistant

Coverage

Scope

Troubleshooting

Support

Links

Related MCP Servers

Frequently Asked Questions about Mrmarket.ai

AllMCPs Directory Badge

Technical Specs & Signals

Moxie Docs MCP

Own this project?

Share & Embed

Explore more

Mrmarket.ai

Quick Install

Install Config Generator

Documentation Overview

mrmarket.ai MCP server

Why it is different

Connect

Claude Code

Claude Desktop

ChatGPT

Gemini

Tools

What you can ask

Screens

Rankings

Comparisons

Cohort-relative analysis

Time-series and overlays

Event studies

Multi-step research, driven by your assistant

Coverage

Scope

Troubleshooting

Support

Links

Related MCP Servers

Frequently Asked Questions about Mrmarket.ai

AllMCPs Directory Badge

Technical Specs & Signals

Moxie Docs MCP

Own this project?

Share & Embed

Explore more