MCP server for Financial Modeling Prep API with 250+ financial data tools
A Model Context Protocol (MCP) server for the Financial Modeling Prep API, exposing 250+ financial data tools to AI assistants.
No installation required. Connect directly:
https://financial-modeling-prep-mcp-server-production.up.railway.app/mcp
Provide your FMP_ACCESS_TOKEN in session configuration and start using 5 meta-tools to load toolsets on demand.
npx financial-modeling-prep-mcp-server --fmp-token=YOUR_FMP_API_KEY
Or install globally:
npm install -g financial-modeling-prep-mcp-server
fmp-mcp --fmp-token=YOUR_FMP_API_KEY
Get your API key at financialmodelingprep.com.
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 install -g financial-modeling-prep-mcp-servernpm install && npm run buildSee docs/INSTALLATION.md for detailed steps per method.
The server supports three operational modes controlled via CLI arguments, environment variables, or session configuration:
| Mode | How to Enable | Description |
|---|---|---|
| Dynamic | DYNAMIC_TOOL_DISCOVERY=true | Starts with 5 meta-tools; load toolsets at runtime |
| Static | FMP_TOOL_SETS=search,company | Pre-loads specified toolsets on session creation |
| All Tools (default) | (default) | Loads all 250+ tools immediately |
Precedence: CLI args > Environment variables > Session config > Defaults.
See docs/CONFIGURATION.md for the full configuration reference.
Connect to the server via HTTP/SSE transport:
/mcp with mcp-client-id headerSee docs/USAGE.md for client-specific setup, session headers, and request examples.
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.
This server is listed on multiple MCP registries for easy discovery:
See docs/REGISTRIES.md for registry-specific setup instructions.
Contributions are welcome. Please see CONTRIBUTING.md for development setup, testing, and pull request guidelines.
Source-derived launch command. Check the maintainer’s required arguments and credentials before running:
npx -y financial-modeling-prep-mcp-serverMerge this template into ~/Library/Application Support/Claude/claude_desktop_config.json. Keep existing servers. Add any arguments, credentials, and permissions required by the maintainer; this template has not been install-tested.
{
"mcpServers": {
"io-github-imbenrabi-financial-modeling-prep-mcp-server": {
"command": "npx",
"args": [
"-y",
"financial-modeling-prep-mcp-server"
]
}
}
}Restart Claude Desktop completely for changes to take effect. Confirm the server appears connected in the client’s tool list, then try a read-only example from its documentation.
Claude Desktop setup referenceFinancial Modeling Prep MCP Server works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.
~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.~/.cursor/mcp.jsonRestart Cursor for changes to take effect..vscode/mcp.jsonReload VS Code window for changes to take effect.~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect..mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.