Financial Modeling Prep MCP Server
# Financial Modeling Prep MCP Server
[](https://www.npmjs.com/package/financial-modeling-prep-mcp-server)
[](LICENSE)
A Model Context Protocol (MCP) server for the [Financial Modeling Prep](https://financialmodelingprep.com/) 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](https://www.npmjs.com/package/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
## Quick Start
### Hosted Instance (Fastest)
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.
### Self-Hosted (One-Liner)
```bash
npx financial-modeling-prep-mcp-server --fmp-token=YOUR_FMP_API_KEY
```
Or install globally:
```bash
npm install -g financial-modeling-prep-mcp-server
fmp-mcp --fmp-token=YOUR_FMP_API_KEY
```
> Get your API key at [financialmodelingprep.com](https://site.financialmodelingprep.com/).
## Table of Contents
- [Installation](docs/INSTALLATION.md)
- [Configuration](docs/CONFIGURATION.md)
- [Usage](docs/USAGE.md)
- [API Reference](docs/API_REFERENCE.md)
- [Registries](docs/REGISTRIES.md)
- [Contributing](CONTRIBUTING.md)
- [License](LICENSE)
## 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-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](docs/INSTALLATION.md) for detailed steps per method.
## Configuration
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](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 `/mcp` with `mcp-client-id` header
- **MCP registries** — Smithery.ai, Glama.ai, and others
See [docs/USAGE.md](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](docs/API_REFERENCE.md) for the complete tool catalog.
## Registries
This server is listed on multiple MCP registries for easy discovery:
- [Smithery.ai](https://smithery.ai/server/@imbenrabi/financial-modeling-prep-mcp-server)
- [Glama.ai](https://glama.ai/mcp/servers/@imbenrabi/financial-modeling-prep-mcp-server)
See [docs/REGISTRIES.md](docs/REGISTRIES.md) for registry-specific setup instructions.
## Contributing
Contributions are welcome. Please see [CONTRIBUTING.md](CONTRIBUTING.md) for development setup, testing, and pull request guidelines.
## License
[Apache-2.0](LICENSE)
TDQS
Scored across 253 tools
With 253 tools, there is significant overlap in functionality (e.g., multiple quote tools, numerous financial statement variants). Although descriptions are detailed, the sheer volume makes it difficult for an agent to reliably select the correct tool without confusion.
Most tools follow a 'get' + noun pattern, but there are inconsistencies like 'stockScreener' (camelCase) and 'listCommodities' (verb 'list' instead of 'get'). While the pattern is mostly predictable, these deviations lower consistency.
253 tools is excessively high for a single MCP server. It overwhelms both the agent and the user, making it impractical to navigate. A more focused scope or hierarchical grouping would be necessary.
The server covers an extremely broad range of financial data: quotes, financial statements, ratios, technical indicators, insider trading, SEC filings, ETFs, mutual funds, forex, crypto, commodities, and more. There are very few obvious gaps in its coverage.