Alpaca Trading API integration for Model Context Protocol (MCP)
Nothing to run from here
DataPorium is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
36
tools declared
—
trust score
remote
at its publisher
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calls last 7d
What it does
Stock, ETF, crypto, forex, economic and US housing market data by ZIP code for AI assistants.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http dataporium-mcp https://mcp.dataporium.io/mcp
# 2 — ask your agent for something these tools do
# search_symbols, get_company_profile, get_industry_classification and 33 more
DataPorium costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
DAAll 1 server
dataporium1 server
1 category
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
Claude Codedeclared by this listing
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http dataporium-mcp https://mcp.dataporium.io/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it answers at its publisher’s own address: this marketplace is not in the path, so there is no key of ours to hold and no card to add — but its publisher asks for a key of their own on every call.
What it writes
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
What you approve
36 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Find a company's tickers across exchanges (main ticker, all listed symbols, CIK). Use this first when you only know a company name. Give symbol OR company_name (exact name, e.g. 'Apple Inc.').
No parameter schema on file.
Company profile and fundamentals: sector, industry, description, address, employees, market cap, valuation ratios, dividends, analyst targets and more (also used by the stock screener).
No parameter schema on file.
Industry and sector classification of a company (revenue-based sector/industry, NAICS sector, SIC category).
No parameter schema on file.
Logo image URL of a company.
No parameter schema on file.
Price history (open, high, low, close, volume) plus dividends of a stock, ETF or index. interval '1d' = daily bars (full history available), '5m' = 5-minute bars of about the last month. points = how many of the newest bars to return (default 250, about one trading year of daily bars; up to about 500 fit in one answer).
No parameter schema on file.
Commodity futures prices, e.g. GC=F gold, SI=F silver, CL=F crude oil, NG=F natural gas. interval '1d' or '5m'; points = how many of the newest bars to return (default 250).
No parameter schema on file.
Currency exchange rates. currency_conversion like 'USD-EUR'. interval picks the bar size (5m and 1h cover recent days, 1d/1w/1mo cover years).
No parameter schema on file.
Financial statements (income statement, balance sheet, cash flow). summary=True returns the compact summary version with the key lines. Filter by fiscal_year (e.g. 2025), fiscal_qtr (e.g. Q2) or fiscal_year_qtr (e.g. 2025Q2); period_type e.g. annual or quarterly.
No parameter schema on file.
Revenue by business segment, product and geography, from company filings.
No parameter schema on file.
SEC filings of a company (10-K, 10-Q, 8-K, ...) with links. form_type filters by form.
No parameter schema on file.
Earnings call transcripts. Filter by fiscal_year and fiscal_qtr (e.g. Q3) to get one call; transcripts are long.
No parameter schema on file.
Investor presentations (slide decks with links) or press releases of a company.
No parameter schema on file.
Recent news articles about one company or crypto coin (full text, sentiment, tags). ticker e.g. AAPL or BTC-USD.
No parameter schema on file.
Latest market-wide news by topic (general, stock, forex, crypto).
No parameter schema on file.
Market calendars: 'earnings_splits' (earnings dates and stock splits, filter by symbol), 'ipo' (upcoming and recent IPOs), 'economic' (economic events like CPI or Fed decisions, filter by event_name/country).
No parameter schema on file.
Stock exchange trading hours or holidays. exchange e.g. NYSE, NASDAQ, LSE.
No parameter schema on file.
Today's biggest stock gainers, losers or most active stocks.
No parameter schema on file.
Daily performance or P/E history of market sectors or industries (e.g. sector 'Technology', exchange 'NASDAQ').
No parameter schema on file.
Insider trading: recent 'transactions', insiders' 'holdings_summary', or full 'transaction_history'.
No parameter schema on file.
Institutional ownership: 'major' holders, 'quarterly' 13F holdings (filters year, qtr, period), 'quarterly_summary', ownership 'by_type', share 'class', and holders by country 'geo'.
No parameter schema on file.
Option chain (calls and puts with strikes, expirations, prices, volume, open interest) for a stock.
No parameter schema on file.
Mergers, acquisitions and investments. 'deals' = full deal records for a company (symbol/company_name), 'summary' = shorter records, 'flat' = one row per deal with filters like ticker_buyer, ticker_target, txn_stage, date_announced, 'reports' = aggregated counts by level/level_values, 'filters' = searchable deal list.
No parameter schema on file.
A company's social media and employer data: X (Twitter) profile/posts/follower history, LinkedIn profile/posts/followers and employees, Glassdoor profile and ratings.
No parameter schema on file.
US economic time series. economic_metrics is one of: GDP, real_GDP, real_GDP_Per_Capita, nominal_Potential_GDP, CPI, inflation, inflation_Rate, federal_Funds, unemployment_Rate, total_Non_farm_Payroll, initial_Claims, retail_Sales, consumer_Sentiment, durable_Goods, industrial_Production_Total_Index, new_Privately_Owned_HousingUnits_Started_Total_Units, total_Vehicle_Sales, retail_Mone
No parameter schema on file.
US Energy Information Administration data. category e.g. petroleum, natural-gas, electricity, coal, co2-emissions, total-energy; location e.g. a state code (TX); period e.g. 2024; period_type annual/monthly.
No parameter schema on file.
Healthcare market data: drug/brand revenue by quarter (brand_revenue, filter symbol), company revenue by healthcare industry, market size by country/region, company market share, industry market size and therapy-area market size. industry values: Pharmaceutical, Medical Device, Diagnostic Life Science, Consumer Healthcare, Health Insurance, Healthcare, Distributor, Veterinary, and othe
No parameter schema on file.
US property listings with price, beds, baths, size, dates, photos and agent. Give a location (zip_code is best). active_only=True (for_sale, pending, rent) returns current listings and supports filters beds_gte, beds_lte, list_price_gte, list_price_lte, style, list_date_gte. 'sold' needs a last_sold_date filter (e.g. filters={'last_sold_date_gte': '2025-01-01'}); history endpoints need
No parameter schema on file.
Housing market time series (home values, rents, inventory, sales, affordability) by region. Examples: region_name='77493', region_type='zip'; region_name='United States', region_type='country'.
No parameter schema on file.
Property tax rates by state, county, city or ZIP code.
No parameter schema on file.
Area data for US places: crime rates, census demographics, environmental hazards, climate risk, air quality and a neighborhood profile (schools, amenities, walkability, noise). level e.g. state, county, city or zip.
No parameter schema on file.
Fields you can filter and rank on in screen_stocks / screen_areas, with unit, description and typical range (10th, 50th, 90th percentile). Call this before screening to choose realistic thresholds. For areas pass the level you will screen (ranges differ between states, cities and ZIPs).
No parameter schema on file.
START HERE for broad stock questions (no specific company named). Ranks ~45,000 companies in one call. filters: {"field": [min, max]} using fields from describe_screen_fields("stocks"), e.g. {"market_cap": [2e9, null], "forward_pe": [5, 15], "revenue_growth_pct": [10, null], "debt_to_equity": [null, 1]}. Percent fields are in percent (10 = 10%). sector/industry/country/exchange: lists,
No parameter schema on file.
START HERE for broad real-estate questions (where to buy, rent out, or live). Ranks every state, county, metro, city or ZIP in one call on home values and 1-year change, rent and rent yield, Zillow forecast, market speed (metros), active listings, crime, population and income, unemployment, air quality, flood/earthquake risk, weather and property tax. filters: {"field": [min, max]}, e.
No parameter schema on file.
Find M&A deals across the market (default: the 12 months up to the newest deal). stage e.g. ["Completed"] or ["Announced/Pending"]; sectors and countries are partial matches (e.g. target_sector ["Health Care"], target_country ["United States"]); values in USD millions. Compact rows (date, buyer, target, tickers, value, stage, sectors, countries); use get_ma_transactions for full detail
No parameter schema on file.
Active homes for sale or rent in areas you already picked (use screen_areas first for broad questions). Needs zips (up to 25), or state + city, or state + county. style e.g. ["single_family", "condos", "townhomes", "multi_family"]. For rentals list_price is the monthly rent. At most 25 homes per call.
No parameter schema on file.
List every filter (API parameter) a tool accepts, with descriptions, for use in its filters argument. tool is a tool name such as 'get_property_listings' or 'get_financial_statements'.
No parameter schema on file.
Free
$0 forever
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install DataPorium or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
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Alert at 80% · then the tool returns a normal MCP error
Used this month: —
—Grade not published
No rule-by-rule report on file for this release
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.0.0.
1.0.0
undated
latestNo release note was published with this version.
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no reviews yet
Who can review
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Sign in to write one
Any signed-in account that does not publish DataPorium can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
No reviews yet
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.