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 Server What's Apple's current stock price and market cap?"
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.
A Model Context Protocol (MCP) server for the Financial Modeling Prep API, exposing 250+ financial data tools to AI assistants.
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
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.
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.
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-server
Docker — 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.
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.
Connect to the server via HTTP/SSE transport:
Claude.ai / Claude Desktop — add as a remote connector (Settings > Connectors)
Custom clients — POST to /mcp with mcp-client-id header
MCP registries — Smithery.ai, Glama.ai, and others
See 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.
This server cannot be deployed
Real SEC, 13F, insider, congress & macro data your AI agent can cite. Hosted MCP, 24 tools.
Financial data MCP server for Claude, ChatGPT, Cursor and Codex. Real-time stock quotes, financial statements, options flow, SEC filings, insider trades, 13F holdings, macro data and market news from gloom.sh, the open-source Bloomberg Terminal alternative.
Your agent needs markets — prices and fundamentals for listed companies, the filings behind them, crypto, and what the prediction markets put the odds at. **What you can ask for** • "Pull this company's income statement, cash flow and balance sheet for the last 8 quarters." • "What did insiders buy or sell, and when?" • "Snapshot prices for these 50 tickers, then the OHLC history for the three that moved." • "What are the current odds on this event across Kalshi and Polymarket?" • "Screen for companies matching these financial criteria." **How to use it** Point any MCP client at https://mcp.aisa.one/finance/mcp and sign in with OAuth — there is no key to create or paste. 49 tools: prices and snapshots, income statements, balance sheets and cash flows, metrics and ratios, earnings and analyst estimates, filings and line-item search, insider trades, macro interest rates, news, a screener; CoinGecko spot prices, market tables, OHLC, per-venue tickers and trending; Kalshi and Polymarket markets and trades; plus EDINET filings for Japan. **Why this rather than the source** Equities, crypto and event markets behind one account, so a cross-asset question is one conversation. **It is also a door to the rest** The same login reaches 26 sources and 580+ operations. Read the number here, then ask the same agent what X is saying about the ticker today — without adding a second server. **What it costs** Finding and inspecting an operation is free. Running one is billed per call at API prices, with no seat and no monthly minimum, and every call takes max_price_usd so an agent cannot overspend by accident. **Where else it reaches** https://mcp.aisa.one/marketpulse/mcp · /crypto-market-data/mcp · /prediction-market-data/mcp · /stock-pulse/mcp for one slice each.
315 finance tools, 35 prompts: quant, SEC and EU filings, fact checks, rates, odds, DeFi, macro.
