The Financial Modeling Prep MCP Server enables AI assistants to access comprehensive financial data through a Model Context Protocol (MCP) implementation, offering 253+ tools across 24 categories with flexible configuration options.

Key Capabilities:

• Dynamic Server Modes: Supports Dynamic, Static, and Legacy modes with runtime toolset management (beta) for task-specific optimization

• Company Intelligence: Search symbols/names, access detailed profiles, executive information, market cap, employee counts, and M&A data

• Financial Statements: Retrieve income statements, balance sheets, cash flow statements (as-reported and TTM), with revenue segmentation by product/geography

• Valuation & Analysis: Key metrics, ratios, DCF valuations (standard and custom), enterprise value, and financial health scores

• Technical Analysis: Calculate SMA, EMA, RSI, ADX, Williams %R, and other indicators with real-time/historical price data

• Market Data: Access S&P 500, NASDAQ, Dow Jones constituents, sector/industry performance, market hours, and calendars (earnings, IPO, economic events)

• News & Filings: Financial news, press releases, SEC filings (8-K, 10-K, 10-Q) with analytics, and filing extracts

• Trading Intelligence: Track insider trades, institutional ownership (13F filings), and government trading disclosures (Senate/House)

• ETFs & Funds: Holdings, sector/country weightings, asset exposure, and fund disclosures

• Global Markets: Cryptocurrency and forex quotes, historical charts, commodities, treasury rates, and economic indicators

• Bulk Data: CSV format support for large-scale analysis of profiles, statements, and metrics

Integration: Standardized HTTP/JSON-RPC interface with deployment options via registries (Smithery.ai, Glama.ai, Contexaai.com) or local/Docker setup.

Implements the Creative Commons licensing framework, with the project specifically licensed under the Attribution-NonCommercial-NoDerivatives 4.0 International License.

Enables interaction with GitHub through the MCP server, allowing for repository management and triggering workflows that verify builds through pull requests.

Integrates with GitHub Actions to automatically verify build processes when pull requests are created and to automate the release process by building and publishing packages to NPM.

Provides integration with NPM to automate package publishing as part of the release process when new GitHub releases are created.

1. Click on "Install Server".

2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.

3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Financial Modeling Prep MCP Server get the latest stock price and P/E ratio for Apple"

That's it! The server will respond to your query, and you can continue using it as needed.

Here is a step-by-step guide with screenshots.