# Financial Modeling Prep (FMP) MCP Server

> Use this tool when you need to access real-time financial data and perform in-depth analysis on stocks and market trends. It solves problems related to financial research, analysis, and tracking by providing comprehensive data on stock quotes, financial statements, and technical indicators. The FMP MCP Server takes API requests as input and outputs real-time financial data, making it ideal for use cases that require up-to-date market information and analysis.

Canonical page: https://skillsregistry.net/skills/jackdark425-aigroup-fmp-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jackdark425-aigroup-fmp-mcp

## Description

An MCP server that provides comprehensive access to real-time stock quotes, financial statements, analyst estimates, and technical indicators via the Financial Modeling Prep API. It enables users to conduct in-depth financial analysis and track market performance through specialized tools, resources, and prompt templates.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t03dqmunbh)
- **Repository:** <https://github.com/jackdark425/aigroup-fmp-mcp>

## 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": "jackdark425-aigroup-fmp-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jackdark425-aigroup-fmp-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jackdark425-aigroup-fmp-mcp/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
