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Financial Modeling Prep (fmpsdk)

by daxmversion 20260829.1i★ –iRuns on your computer
Registry nameio.github.daxm/fmpsdk-mcp

Install

Overview

Description from the maker (original English)

Financial Modeling Prep API as MCP tools — quotes, statements, prices, and ~240 endpoints.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Accounting, finance & tax
  • You need to fill in: FMP_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: FMP_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "fmpsdk": {
      "command": "uvx",
      "args": [
        "fmpsdk-mcp"
      ],
      "env": {
        "FMP_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add fmpsdk --env FMP_API_KEY=your-value -- uvx fmpsdk-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "fmpsdk": {
      "command": "uvx",
      "args": [
        "fmpsdk-mcp"
      ],
      "env": {
        "FMP_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "fmpsdk": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "fmpsdk-mcp"
      ],
      "env": {
        "FMP_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • FMP_API_KEY secret required env
    Financial Modeling Prep API key (https://site.financialmodelingprep.com/developer/docs)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account daxm, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Accounting, finance & taxi

  • More stars than 0% of the other 1734 servers in this category
  • Published to the registry more recently than 37% of the other 1734 servers in this category
  • Basic checks equal to or better than 100% of the other 1734 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Financial Modeling Prep (fmpsdk) safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: FMP_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (20260829.1) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Finance Toolkit, SolidInvoice, Korea Tax Calculator

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Finance Toolkit

by JerBouma

500+ transparent financial methods calculated from raw statements, not third-party endpoints.

Computer or cloud★ 5,496MITUpdated today
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SolidInvoice

by SolidInvoice

Create and send invoices and quotes, manage clients, and track payments in SolidInvoice.

Runs in the cloud★ 981MITUpdated 8 days ago
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Korean tax calculation and tax-audit judgment MCP: 96 tools with statutory citations.

Runs on your computer★ 97MITUpdated yesterday
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

FMP SDK

The idea behind this project is to provide a 'one-stop-shop' to the API endpoints provided by Financial Modeling Prep (FMP).

A personal note to you: my apologies for letting this package get so out of date. FMP kept reshuffling its API, then I had a personal issue delay me further. Things are back on track now. Because of that gap, roughly half of this package's old methods had gone defunct against FMP's current API, so rather than patch around that I rebuilt it from scratch against FMP's stable/ API. If you're on 20250102.0 or earlier you're on the old, pre-rewrite methods; anything newer uses the schema described below. Old releases are yanked from PyPI (a plain pip install fmpsdk now always gets the rewrite), but still installable if you pin one explicitly, e.g. pip install fmpsdk==20250102.0 — note that won't actually restore functionality, though: FMP sunset the legacy /api/v3/ API those old methods called entirely on 2025-08-31, so a pinned old version installs fine but its calls will fail regardless. It's there for compatibility with existing pinned requirements files while you migrate, not as a way to keep avoiding the rewrite.

What's covered

29 data groups, ~240 methods total, each reachable both as client. (...) and grouped under a matching namespace, e.g. client.statements.income_statement(...):

  • Company & fundamentals — profile, executives, M&A, DCF valuation, financial statements/ ratios/growth (income, balance sheet, cash flow — as-reported, TTM, and growth variants)
  • Market data — real-time & aftermarket quotes, historical price charts, technical indicators
  • Reference & screening — symbol/CIK/CUSIP/ISIN search, the company screener, sector/ industry/exchange directories
  • Calendars & events — earnings, dividends, splits, IPOs, the economic calendar
  • Ownership & compliance — insider trades, Form 13F institutional ownership, SEC filings, ESG disclosures
  • Alternative markets — crypto, forex, commodities, indexes, ETFs & mutual funds
  • Sentiment & analysis — analyst grades/price targets, TipRanks ratings, congressional trading, market movers
  • Bulk downloads — whole-universe data dumps, one call instead of one per symbol

Every method's own docstring says which FMP plan tier it needs (Free/Starter/Premium/ Ultimate) — see Pricing tiers below. One exception: the 7 client.tipranks methods are implemented and unit-tested but untested against a real response — see that section for why.

How to Use

  1. Requires Python 3.9+. Install the package: pip install fmpsdk python-dotenv (python-dotenv is optional — it's just how the example below loads your API key from a .env file).
  2. Create a .env file and put your API key in it. Inside .env: FMP_API_KEY='blah'
  3. Build a Client and call methods on it, grouped by data category — e.g. client.company.profile(symbol="AAPL"), client.statements.income_statement(symbol="AAPL").
  4. The return from a method call is almost always a list of dictionaries. It is up to you to parse it.

Example code

#!/usr/bin/env python3

from dotenv import load_dotenv

import fmpsdk

Actual API key is stored in a .env file. Not good to store API key directly in script.

load_dotenv() client = fmpsdk.Client() # reads FMP_API_KEY from the environment

Company Valuation Methods

symbol = "AAPL" print(f"Company Profile: {client.company.profile(symbol=symbol)}")

Every non-2xx FMP response raises a typed exception instead of returning

None or an error-shaped dict, so a plan-gated or bad-key call is obvious:

try: client.statements.income_statement_ttm(symbol=symbol) except fmpsdk.FMPPlanLimitError: print("Your FMP plan doesn't cover this endpoint — check its docstring for which tier does.") except fmpsdk.FMPAuthenticationError: print("Check your FMP_API_KEY.")

One naming quirk worth knowing up front: client.quote is the namespace for the whole quote group (client.quote.aftermarket_quote(...), client.quote.batch_quote(...), etc.), so it shadows the top-level quote() method of the same name — call that one as client.quote.quote(symbol="AAPL").

Pricing tiers

FMP's plans form a ladder — Free, Starter, Premium, Ultimate — and each one adds more endpoints on top of the last. A call your plan doesn't cover raises fmpsdk.FMPPlanLimitError rather than returning data. There's no single tier table to keep in sync here — instead, every group module's docstring (e.g. fmpsdk/endpoints/search.py) and every method's own docstring says plainly which tier it needs, right next to the code that calls it, verified live against a real key at every tier from Free through Ultimate. Check those, or just try the call and catch FMPPlanLimitError.

One exception, outside that ladder entirely: `client.tipranks`'s 7 methods. They still 402 even on Ultimate — FMP's own error message says why: TipRanks data needs a separate paid add-on ("TipRanks data boost"), bought independently of the four plan tiers above. We haven't purchased it, so these 7 methods are implemented and unit-tested (mocked) but never verified against a real response — treat them as unverified rather than confirmed-working. If you have that add-on and hit a bug in one of them, a PR with the fix (and what the real response actually looks like) is welcome.

MCP server & OpenAPI spec

[`mcp/`](mcp/README.md) — a [Model Context Protocol](https://modelcontextprotocol.io) server, published separately as fmpsdk-mcp (so pip install fmpsdk never pulls in fastmcp). Lets an AI assistant (Claude Code, Claude Desktop, …) query FMP through this library: 10 curated tools for the common asks (quotes, profiles, statements, ratios, price history, news) plus discovery tools that reach all ~240 methods at runtime. With uv:

claude mcp add fmpsdk -s user -e FMP_API_KEY=your-key -- uvx fmpsdk-mcp

See mcp/README.md for the Claude Desktop config, the full tool list, and development setup.

[`openapi.json`](openapi.json) — an OpenAPI 3.1 description of the same API surface. FMP publishes no OpenAPI/Swagger document; this file is *generated by introspecting this library's source* (python tools/gen_openapi.py), not fetched from or endorsed by FMP.

Contributing

See CONTRIBUTING.md — dev setup, the unit/live/ultimate test tiers, and specifically how to verify and PR a fix for the untested tipranks methods above.

License

BSD 3-Clause — see LICENSE.md.

Attribution

Special thanks to the following people who have pitched in on this project! Open source works thanks to people who jump in and help! These are this project's stars. Thank you.

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