Financial Modeling Prep MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Financial Modeling Prep MCP Serverwhat's the current stock price of 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.
Financial Modeling Prep MCP Server
A Model Context Protocol (MCP) server for the Financial Modeling Prep API, exposing 250+ financial data tools to AI assistants.
Features
250+ Financial Tools across 24 categories — stocks, ETFs, crypto, forex, commodities, economics, and more
Dynamic Tool Management — built on toolception for runtime enable/disable of toolsets via meta-tools
Three Server Modes — Dynamic (meta-tools), Static (pre-loaded toolsets), or All Tools (default)
Flexible Deployment — use the hosted instance or self-host via npm, Docker, or source
HTTP/SSE Transport — compatible with Claude.ai, Claude Desktop, and MCP registries
Related MCP server: Financial Modeling Prep MCP Server
Quick Start
Hosted Instance (Fastest)
No installation required. Connect directly:
https://financial-modeling-prep-mcp-server-production.up.railway.app/mcpProvide your FMP_ACCESS_TOKEN in session configuration and start using 5 meta-tools to load toolsets on demand.
Self-Hosted (One-Liner)
npx financial-modeling-prep-mcp-server --fmp-token=YOUR_FMP_API_KEYOr install globally:
npm install -g financial-modeling-prep-mcp-server
fmp-mcp --fmp-token=YOUR_FMP_API_KEYGet your API key at financialmodelingprep.com.
Table of Contents
Installation
Prerequisites: Node.js 25.3.0 or higher (for v2.6.0+). For older versions (v2.5.x and below), Node.js 20+ is required.
Choose the method that fits your workflow:
NPM —
npm install -g financial-modeling-prep-mcp-serverDocker — build from source or pull a pre-built image
Source — clone and run with
npm install && npm run build
See docs/INSTALLATION.md for detailed steps per method.
Configuration
The server supports three operational modes controlled via CLI arguments or environment variables:
Mode | How to Enable | Description |
Dynamic |
| Starts with 5 meta-tools; load toolsets at runtime |
Static |
| Pre-loads specified toolsets on session creation |
All Tools (default) | (default) | Loads all 250+ tools immediately |
Precedence: for mode and tool sets, CLI args > Environment variables > Defaults. A session ?config= token overrides the server's FMP_ACCESS_TOKEN for that session.
See docs/CONFIGURATION.md for the full configuration reference.
Usage
Connect to the server via HTTP/SSE transport:
Claude.ai / Claude Desktop — add as a remote connector (Settings > Connectors)
Custom clients — POST to
/mcpwithmcp-client-idheaderMCP registries — Smithery.ai, Glama.ai, and others
See docs/USAGE.md for client-specific setup, session headers, and request examples.
Available Tools
24 categories covering:
Search · Directory & Symbol Lists · Company Information · Financial Statements · Financial Metrics & Analysis · Technical Indicators · Quotes & Price Data · Market Indexes & Performance · Market Data · News & Press Releases · SEC Filings · Insider & Institutional Trading · ETFs & Funds · Government Trading · Cryptocurrency & Forex · Earnings · Special Data Sets · Commodities · Economics · Bulk Data Tools
See docs/API_REFERENCE.md for the complete tool catalog.
Registries
This server is listed on multiple MCP registries for easy discovery:
See docs/REGISTRIES.md for registry-specific setup instructions.
Contributing
Contributions are welcome. Please see CONTRIBUTING.md for development setup, testing, and pull request guidelines.
License
This server cannot be deployed
Maintenance
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