Financial Modeling Prep MCP Server

What is Financial Modeling Prep MCP Server?

A Model Context Protocol (MCP) server that provides tools, resources, and prompts for financial analysis using the Financial Modeling Prep API. It covers company profiles, financial statements, market data, stock quotes, charts, analyst ratings, indices, market performers, market hours, ETF analysis, commodities, cryptocurrencies, forex, and technical indicators.

How to use Financial Modeling Prep MCP Server?

Clone the repository, set up a Python environment (pip or uv), copy the .env.template to .env and add your Financial Modeling Prep API key. Optionally add an OpenAI API key for the chat agent. Run the server with your chosen transport (stdio, SSE, or Streamable HTTP) or deploy via Docker.

Key features of Financial Modeling Prep MCP Server

• Company profiles and peer comparisons
• Income statements, balance sheets, cash flow statements
• Stock quotes including aftermarket data
• Analyst recommendations and price targets
• Historical price data with price changes
• Multiple transport options (stdio, SSE, Streamable HTTP)

Use cases of Financial Modeling Prep MCP Server

• Retrieve real-time stock quotes for portfolio monitoring
• Analyze financial statements for investment research
• Get analyst ratings and price targets for stock screening
• Access historical price data for technical analysis
• Monitor market indices and top movers

FAQ from Financial Modeling Prep MCP Server

What API key is required to use this server?

An API key from Financial Modeling Prep is required. If using the chat agent, an OpenAI API key is also needed.

What transport protocols does the server support?

The server supports stdio, SSE, and Streamable HTTP transports.

Does the server support Docker deployment?

Yes, the server includes Docker support with configurable transport modes.

Can the server run in stateless mode?

Yes, the server supports