Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Analytical engine for US-listed equities: screens, rankings, and event studies in plain English.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://mcp.mrmarket.ai/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http mrmarket https://mcp.mrmarket.ai/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"mrmarket": {
"url": "https://mcp.mrmarket.ai/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"mrmarket": {
"type": "http",
"url": "https://mcp.mrmarket.ai/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://mcp.mrmarket.ai/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 도메인 mrmarket.ai 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.1.0)은 5개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, MCP Server Autocad Lisp Helper
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
High-precision static analysis and debug server for AutoCAD AutoLISP (.lsp) files.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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.
mrmarket.ai is a remote MCP server reachable at:
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 mcp add --transport http mrmarket https://mcp.mrmarket.ai/mcp
Open Settings, go to Connectors, choose Add custom connector, and paste the endpoint:
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.
In Settings, open Connectors, choose Add custom connector, and point it at the same endpoint.
Add it as a remote MCP extension when prompted by Gemini's MCP onboarding, using the same endpoint.
| 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.
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.
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.
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.
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.
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.
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.
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.
Larger studies decompose into several calls that your assistant orchestrates while mrmarket.ai supplies the ground truth at each step:
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?
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.
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.
| 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.
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.
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.
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.https://mcp.mrmarket.ai/mcp