# Financial Modeling Prep

> Use this tool when you need to access comprehensive financial data for analysis, research, or market monitoring, as it provides over 30 specialized modules covering stock quotes, company profiles, and economic data through a robust API interface. It solves problems related to financial analysis, investment research, and real-time market monitoring by offering both historical and real-time data. Ideal for use cases requiring precise and reliable financial information, it accepts API keys or tokens as input and outputs detailed financial data.

Canonical page: https://skillsregistry.net/skills/financial-modeling-prep  
JSON: https://api.skillsregistry.net/v1/skills/financial-modeling-prep

## Description

Financial Modeling Prep MCP Server provides AI assistants with access to comprehensive financial data through the Financial Modeling Prep API. Built with TypeScript and Node.js, it exposes over 30 specialized client modules covering diverse financial domains including stock quotes, company profiles, financial statements, technical indicators, economic data, and government trading information. The server implements a robust authentication system that supports both direct API key configuration and context-based token passing, making it suitable for both development and production environments. Particularly valuable for financial analysis, investment research, and market monitoring use cases that require real-time and historical financial data.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/financial-modeling-prep)
- **Repository:** <https://github.com/imbenrabi/financial-modeling-prep-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "financial-modeling-prep"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/financial-modeling-prep` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/financial-modeling-prep/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt