Intrinio MCP. Build full investment theses from raw market data.
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Intrinio MCP Server. Access real-time and historical financial data directly through Intrinio's API. This server lets your AI client retrieve stock prices, financial statements, company profiles, and news articles.
It's built for financial analysts who need to synthesize complex market data—from IPO calendars to earnings reports—into a single, coherent workflow.
What your AI agents can do
Get company
Retrieves a company's headquarters address, employee count, and business description given a ticker or ID.
Get earnings releases
Lists upcoming and past earnings releases for a specific stock ticker.
Get financials
Retrieves detailed financial statements (like income or balance sheets) for a company.
Your AI client retrieves a company's basic profile, including its address, employee count, and business description.
Your AI client pulls historical stock prices for a given security, allowing for trend analysis over time.
Your AI client pulls fundamental financial data, returning line items and values needed for deep performance analysis.
Your AI client lists upcoming or past earnings releases and can check the IPO calendar for new market entrants.
Your AI client can list all covered companies or search for a company by name to find the correct ticker or ID.
Your AI client lists the latest financial news related to public companies, useful for monitoring market shifts.
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Intrinio MCP Server: 10 Tools for Financial Data
These ten tools let your agent access everything from company fundamentals and historical stock prices to the latest market news and IPO calendars.
019d75baget company
Retrieves a company's headquarters address, employee count, and business description given a ticker or ID.
019d75baget earnings releases
Lists upcoming and past earnings releases for a specific stock ticker.
019d75baget financials
Retrieves detailed financial statements (like income or balance sheets) for a company.
019d75baget ipo calendar
Retrieves the current list of initial public offerings (IPOs) scheduled for the market.
019d75baget security
Returns specific details about a security, helping distinguish between different financial instruments.
019d75baget stock prices
Retrieves historical stock prices for a specific security over a defined time range.
019d75balist companies
Lists all company names, tickers, and internal IDs covered by Intrinio.
019d75balist indices
Lists major stock market indices (like S&P 500) tracked by Intrinio.
019d75balist news
Lists the latest financial news headlines and summaries from public companies.
019d75basearch companies
Searches for companies by name or partial ticker to find the correct ID or ticker.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
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Make Your AI Do More
Start with Intrinio, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
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- Works with Claude, ChatGPT, Cursor, and more
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What you can do with this MCP connector
Access real-time and historical market data directly through Intrinio's API. Your AI client pulls company identity and metrics, pulling a company's address, employee count, and business description using get_company. You can track historical stock prices for a given security over a defined time range with get_stock_prices. You'll pull fundamental financial data, getting line items and values needed for deep performance analysis using get_financials.
You can track corporate events by listing upcoming or past earnings releases for a specific stock ticker with get_earnings_releases, and you'll check the IPO calendar for new market entrants using get_ipo_calendar. You'll discover market data by listing all covered companies or searching for a company by name to find the correct ticker or ID using list_companies or search_companies.
Your AI client pulls the latest financial news related to public companies by listing headlines and summaries using list_news. You'll also get specific details about a security, helping distinguish between different financial instruments, with get_security. You can list major stock market indices like the S&P 500 using list_indices. You'll get a list of all company names, tickers, and internal IDs covered by Intrinio using list_companies and can find a company by name or partial ticker using search_companies.
How Intrinio MCP Works
- 1 Tell your agent the company you want to analyze (e.g., 'Apple').
- 2 The agent uses
search_companiesorlist_companiesto find the correct ticker and ID. - 3 The agent then calls specific tools like
get_financialsandget_stock_pricesto build the complete data picture.
The bottom line is: your agent connects to the Intrinio API, gets the raw data, and passes the structured results back to your client.
Who Is Intrinio MCP For?
The quantitative analyst who needs to synthesize a full investment thesis in minutes. The research associate who has to cross-reference earnings reports, historical prices, and news articles across five different dashboards. The portfolio manager who needs to quickly assess a sector's health before a client meeting.
Builds automated pipelines to pull get_financials and get_stock_prices data for backtesting and comparative analysis.
Uses list_news and get_earnings_releases to track market sentiment and contextualize price movements.
Runs get_company and list_indices to quickly get a high-level view of a portfolio's sector exposure and key holdings.
What Changes When You Connect
- Get the full picture of a company.
get_companypulls basic profile details (address, employees), whileget_financialsprovides the deep numbers, so you don't have to jump between multiple databases. - Model price volatility. Use
get_stock_pricesto pull historical data, then cross-reference that trend against the news headlines fromlist_newsto see if the market reaction was justified. - Plan for market entry. The
get_ipo_calendarlets you track new investment opportunities, which you can then cross-check withlist_companiesto see if the listing is covered by the platform. - Track corporate health. Running
get_earnings_releasesgives you a timeline of when to expect performance updates, keeping your portfolio monitoring cycle tight. - Reduce data friction. Instead of searching for a company name and hoping for the right ticker, run
search_companiesfirst. It guarantees you start with the correct identifier before callingget_financials. - Compare sectors quickly. Use
list_indicesto see the major market benchmarks, and then useget_companyto compare a specific holding against the index performance.
Real-World Use Cases
Evaluating a Sector Investment Opportunity
A PM needs to know if the software sector is undervalued. They start by calling list_indices to check the S&P 500 and sector indices. Next, they use search_companies to find all major software players, then loop through them, calling get_financials and get_stock_prices for each to build a comparative report.
Reacting to a Sudden Market Shift
A research analyst sees a stock dip and needs context. They call list_news for the ticker, then use get_earnings_releases to see if the dip coincided with a negative news story or a missed earnings target. They use get_company to pull the company's core profile for the final memo.
Due Diligence on an Unknown Company
A user finds a promising company name but doesn't know its ticker. They run search_companies to get the ID. Once they have the ID, they can then pull all the deep data: get_financials, get_stock_prices, and get_company to build a full profile.
Preparing a Quarterly Sector Report
An investment analyst needs to track emerging companies. They first use list_companies to get the full roster. Then, they call get_ipo_calendar to identify new entrants, and finally, they use get_security to confirm the instrument type for each potential investment.
The Tradeoffs
Assuming a ticker is correct
The user just guesses a ticker (e.g., 'APL') and runs get_financials. The data returns an error or the wrong company's financials, wasting time and skewing the report.
→
Always run search_companies or list_companies first. This confirms the correct ticker and ID before you pull any financial data using get_financials or get_stock_prices.
Missing the full picture
The user pulls get_stock_prices to show a trend, but forgets to check list_news. The resulting report is incomplete because it misses the market narrative that caused the price movement.
→
When pulling price data, always run list_news and check get_earnings_releases. The narrative (news/earnings) explains the price action (get_stock_prices).
Ignoring security details
The user tries to analyze a complex financial instrument using only get_financials, but the tool fails because it doesn't know the exact instrument type.
→
Use get_security early in the process. It validates the instrument type and returns identifiers, ensuring that subsequent calls to get_financials are accurate.
When It Fits, When It Doesn't
Use this if you need to build a defensible investment thesis. You need a complete story: the numbers (get_financials), the price movement (get_stock_prices), and the context (list_news).
Don't use this if you just need a single piece of information, like 'What is Apple's revenue last quarter?' In that case, just call get_financials directly. But if you need to know why that revenue was achieved—was it due to a major contract (check get_company) or a market shift (check list_news)—then you need the full orchestration power of the Intrinio MCP Server.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Intrinio. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Sifting through financial data is usually a mess of tabs and spreadsheets.
Today, building a profile for a company means jumping between three different dashboards: the financials tab for revenue, the news wire for recent headlines, and the dedicated stock tracker for price history. You're copy-pasting tickers, clicking through dates, and manually stitching together a narrative that might be months old.
With Intrinio, your agent handles the workflow. You ask for the full picture of Company X. The agent calls `get_financials`, `get_stock_prices`, and `list_news`—all in sequence—and hands you one unified data stream. You get the complete story, instantly.
Intrinio MCP Server: Get the full company data.
Forget manually checking the IPO calendar and then having to go somewhere else to see who else is listed. You run `get_ipo_calendar` and get the list; then, you use `list_companies` to see the full list of covered tickers, all from the same chat interface.
The difference is control. You don't just get data; you get a structured, interconnected view of the market's activity, letting you compare new listings against established players instantly.
Common Questions About Intrinio MCP
How do I use the `get_stock_prices` tool with Intrinio? +
You must provide the specific ticker and the date range you want. The tool returns the historical closing prices, opening prices, and volume for that security.
What is the difference between `get_company` and `search_companies` using Intrinio? +
search_companies finds a company by name or partial ticker, giving you the ID. get_company uses that confirmed ID to pull profile details like employee count.
Can I use `get_financials` for multiple companies at once? +
The tool is designed to retrieve financial statements for one company at a time, requiring a specific ticker or ID for each call.
Does Intrinio provide real-time data or historical data? +
It provides both. list_news gives you the latest headlines, and get_stock_prices handles historical time series data.
How do I use `get_earnings_releases` to track a ticker's reporting cycle? +
You call get_earnings_releases with the target ticker. This function lists both upcoming and past earnings reports, letting you map out the company's full reporting cycle and anticipate market activity.
What should I use if I need to find a company by a partial name, like 'Appl'? +
Use search_companies. This tool searches for companies when you only have a partial name or a vague idea, returning the correct ticker or ID you need for other functions.
Do I need to list all companies before running `get_stock_prices`? +
No, you don't. You can pass the specific ticker or security ID directly to get_stock_prices. While list_companies exists, it's usually faster just to use the known identifier.
How can I get information about different types of financial instruments using `get_security`? +
get_security returns exchange info, security type, and identifiers. It helps you confirm if a name refers to a stock, index, or another type of tradeable instrument.
How do I get Intrinio API credentials? +
Log in to your Intrinio account, go to Account > API Keys, and copy your API Key. Ensure you have an active subscription for the data feeds you need.
Which markets are covered? +
Intrinio provides extensive coverage of US and international stock exchanges, indices, and financial data.
Can I see real-time stock prices? +
Yes, the get_stock_prices tool provides access to real-time and historical pricing data, depending on your subscription plan.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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