Financial-Modeling-Prep-MCP-Server

Name: Financial-Modeling-Prep-MCP-Server Review
Item: Financial-Modeling-Prep-MCP-Server
Rating: 3.0
Author: Aaron Matthews

Connector Data & Analytics Usable

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.

Ask Claude to pull current stock prices and compare valuations across competing companies.
Generate financial ratio analysis from company fundamentals for investment due diligence.
Find historical earnings data and revenue trends to forecast future company performance.

131 starsApache-2.0 (commercial OK)FreeNo code needed

Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Why it matters

Reduces time spent gathering and validating financial data for modeling, analysis, and decision-making. Enables AI assistants to surface accurate company fundamentals and market metrics directly in workflows.

Best for

Financial analysts and engineering leaders evaluating companies, competitive positioning, or market conditions for strategic decisions.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/imbenrabi/Financial-Modeling-Prep-MCP-Ser...

By imbenrabi

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.

Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.

Command

claude mcp add Financial-Modeling-Prep-MCP-Server -- npx -y Financial-Modeling-Prep-MCP-Server

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars131Last updated2026-05-07LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-05-20 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse Growing

Discussed on Reddit

130+ AI agent use cases you can implement across every department at your compan — Reddit · 35 pts
130+ AI agent use cases you can implement across every department at your compan — Reddit · 27 pts
I vibe-coded a stock research MCP server — Claude now pulls live data and writes — Reddit · 3 pts

5 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 131 GitHub stars; contributors unknown; last commit 13d ago; license Apache-2.0.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

3/5

Versatility

3/5

Reliability

3/5

Security

3/5

Overall score3.00 / 5.00 UsableEvaluatedMay 2026

Scored from trust signals (evidence-eval-v1): 131 GitHub stars; contributors unknown; last commit 13d ago; license Apache-2.0.

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