Financial Modeling Prep MCP Server
A Model Context Protocol (MCP) implementation for Financial Modeling Prep, enabling AI assistants to access and analyze financial data, stock information, company fundamentals, and market insights.
Install
$ agentstack add mcp-imbenrabi-financial-modeling-prep-mcp-server ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/mcp-imbenrabi-financial-modeling-prep-mcp-server) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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 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
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_KEY> Get your API key at 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
/mcpwithmcp-client-idheader - 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/APIREFERENCE.md](docs/APIREFERENCE.md) for the complete tool catalog.
Registries
This server is listed on multiple MCP registries for easy discovery:
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)
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: imbenrabi
- Source: imbenrabi/Financial-Modeling-Prep-MCP-Server
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.