Provides access to real-time and historical stock market data for AI assistants through the Model Context Protocol (MCP).
Provides access to real-time and historical stock market data for AI assistants through the Model Context Protocol (MCP). Exposed over MCP by the financial datasets mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.
This is a Model Context Protocol (MCP) server that provides access to stock market data from Financial Datasets.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
Everything the assistant can do here goes through one of these:
get_income_statements — Get income statements for a companyget_balance_sheets — Get balance sheets for a companyget_cash_flow_statements — Get cash flow statements for a companyget_current_stock_price — Get the current / latest price of a companyget_historical_stock_prices — Gets historical stock prices for a companyget_company_news — Get news for a companyget_available_crypto_tickers — Gets all available crypto tickersget_crypto_prices — Gets historical prices for a crypto currencyget_historical_crypto_prices — Gets historical prices for a crypto currencyget_current_crypto_price — Get the current / latest price of a crypto currencyPrerequisites — The Prerequisites tool exposed by this serverInstallation — 1. Clone this repository: bash git clone https://github.com/financial-datasets/mcp-server cd mcp-serverYou will need one environment variable: FINANCIAL_DATASETS_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Financial Datasets's toolset — get_income_statements, get_balance_sheets, get_cash_flow_statements and 9 more — is a fair guide to whether it matches your workflow. It is maintained by financial-datasets; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| get_income_statements | Get income statements for a company. |
| get_balance_sheets | Get balance sheets for a company. |
| get_cash_flow_statements | Get cash flow statements for a company. |
| get_current_stock_price | Get the current / latest price of a company. |
| get_historical_stock_prices | Gets historical stock prices for a company. |
| get_company_news | Get news for a company. |
| get_available_crypto_tickers | Gets all available crypto tickers. |
| get_crypto_prices | Gets historical prices for a crypto currency. |
| get_historical_crypto_prices | Gets historical prices for a crypto currency. |
| get_current_crypto_price | Get the current / latest price of a crypto currency. |
| Prerequisites | The Prerequisites tool exposed by this server. |
| Installation | 1. Clone this repository: bash git clone https://github.com/financial-datasets/mcp-server cd mcp-server |
3. Add the following configuration:
```json
{
"mcpServers": {
"financial-datasets": {
"command": "/path/to/uv",
"args": [
"--directory",
"/absolute/path/to/financial-datasets-mcp",
"run",
"server.py"
]
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| FINANCIAL_DATASETS_API_KEY | Credential the server authenticates with. | Yes |
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Microsoft's official browser automation server — drive a real browser through the accessibility tree, no screenshots needed.
GitHub's official server — repos, issues, pull requests, Actions and code security, straight from your assistant.
Issue tracking at the speed of conversation — Linear's official hosted server with OAuth and zero install.
Local repository surgery — status, diffs, commits, branches and history for any repo on disk.
Timezone sanity for AI — current time anywhere and correct conversions, without the model doing date math.