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financial-datasets

Financial Datasets MCP Server

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by financial-datasets
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Python
Remote

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
get_income_statementsB

Get income statements for a company.

Args:
    ticker: Ticker symbol of the company (e.g. AAPL, GOOGL)
    period: Period of the income statement (e.g. annual, quarterly, ttm)
    limit: Number of income statements to return (default: 4)
get_balance_sheetsB

Get balance sheets for a company.

Args:
    ticker: Ticker symbol of the company (e.g. AAPL, GOOGL)
    period: Period of the balance sheet (e.g. annual, quarterly, ttm)
    limit: Number of balance sheets to return (default: 4)
get_cash_flow_statementsB

Get cash flow statements for a company.

Args:
    ticker: Ticker symbol of the company (e.g. AAPL, GOOGL)
    period: Period of the cash flow statement (e.g. annual, quarterly, ttm)
    limit: Number of cash flow statements to return (default: 4)
get_current_stock_priceB

Get the current / latest price of a company.

Args:
    ticker: Ticker symbol of the company (e.g. AAPL, GOOGL)
get_historical_stock_pricesB

Gets historical stock prices for a company.

Args:
    ticker: Ticker symbol of the company (e.g. AAPL, GOOGL)
    start_date: Start date of the price data (e.g. 2020-01-01)
    end_date: End date of the price data (e.g. 2020-12-31)
    interval: Interval of the price data (e.g. minute, hour, day, week, month)
    interval_multiplier: Multiplier of the interval (e.g. 1, 2, 3)
get_company_newsB

Get news for a company.

Args:
    ticker: Ticker symbol of the company (e.g. AAPL, GOOGL)
get_available_crypto_tickersC

Gets all available crypto tickers.

get_crypto_pricesC

Gets historical prices for a crypto currency.

get_historical_crypto_pricesB

Gets historical prices for a crypto currency.

Args:
    ticker: Ticker symbol of the crypto currency (e.g. BTC-USD). The list of available crypto tickers can be retrieved via the get_available_crypto_tickers tool.
    start_date: Start date of the price data (e.g. 2020-01-01)
    end_date: End date of the price data (e.g. 2020-12-31)
    interval: Interval of the price data (e.g. minute, hour, day, week, month)
    interval_multiplier: Multiplier of the interval (e.g. 1, 2, 3)
get_current_crypto_priceA

Get the current / latest price of a crypto currency.

Args:
    ticker: Ticker symbol of the crypto currency (e.g. BTC-USD). The list of available crypto tickers can be retrieved via the get_available_crypto_tickers tool.
get_sec_filingsB

Get all SEC filings for a company.

Args:
    ticker: Ticker symbol of the company (e.g. AAPL, GOOGL)
    limit: Number of SEC filings to return (default: 10)
    filing_type: Type of SEC filing (e.g. 10-K, 10-Q, 8-K)

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

B3.3/5.0

Scored across 11 tools

Disambiguation4/5

Most tools have distinct purposes, but there is some potential confusion between get_crypto_prices and get_historical_crypto_prices, as their names and descriptions overlap significantly. Other tools are clearly differentiated by resource type (crypto vs. stock vs. financial statements).

Naming Consistency5/5

All tools follow a consistent verb_noun pattern with snake_case naming. The pattern 'get_[resource]_[specific]' is applied uniformly across all 11 tools, making them predictable and easy to understand.

Tool Count5/5

With 11 tools, the server is well-scoped for financial data access. It covers crypto and stock prices, financial statements, news, and SEC filings, providing comprehensive coverage without being overwhelming or sparse.

Completeness4/5

The tool set covers key financial data domains well, including prices, statements, news, and filings. Minor gaps exist, such as no update or delete operations (which may not be needed) and limited filtering options for some tools, but core workflows are fully supported.

Maintenance

ActivityInactive
ResponsivenessUnresponsive

Resources