Finance MCP Server

Cours des actions, données de cryptomonnaies, taux de change et suivi de portefeuille

Documentation

Finance MCP Server — Stocks, Screener & Crypto for AI Agents (nexgendata/finance-mcp-server) Actor

MCP server exposing live stock quotes, a stock screener, crypto prices and FX rates as agent tools. Connect Claude, Cursor, or the OpenAI Agents SDK.

Pricing

from $20.00 / 1,000 tool calls

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the API section below.

Each client library has reference documentation the quickstart does not restate: JavaScript/TypeScript (npm install apify-client) and Python (pip install apify-client).

README

Finance MCP Server

A Model Context Protocol server that gives AI agents live market data — stock quotes, screening, crypto and FX — as callable tools. For anyone building finance agents, assistants, or automations.

📊 Sample Output

1 real rows delivered by Finance MCP Server — Stocks, Screener & Crypto for AI Agents — run 9nGQUJMWJTtyuw5Gw on build 0.0.24

statusmessagehow_to_connectserver_urlapify_urltransport
MCP Server RunningThis is an MCP server, not a scraper. It does not produce results whe…Connect from an MCP-compatible AI client (Claude Desktop, Cursor, Win…https://nexgendata--finance-mcp-server.apify.actor/mcphttps://apify.com/nexgendata/finance-mcp-serverstreamable-http

Real rows from run 9nGQUJMWJTtyuw5Gw on build 0.0.24 (2026-09-04), unedited apart from masked emails/phones and shortened long text; fields the source does not publish are empty.

🔧 Input reference

FieldTypeDefaultWhat it does
enableServer (required)booleantrueEnable MCP server mode (required for MCP usage)
portinteger5000Port to run the MCP server on

🧾 JSON sample record

One real record from run 9nGQUJMWJTtyuw5Gw (emails/phones masked, long text shortened):

{
  "status": "MCP Server Running",
  "message": "This is an MCP server, not a scraper. It does not produce results when run directly.",
  "how_to_connect": "Connect from an MCP-compatible AI client (Claude Desktop, Cursor, Windsurf, etc.)",
  "server_url": "https://nexgendata--finance-mcp-server.apify.actor/mcp",
  "apify_url": "https://apify.com/nexgendata/finance-mcp-server",
  "documentation": "See the README for setup instructions and example configurations.",
  "transport": "streamable-http",
  "endpoint": "/mcp",
  "tools": [
    "get_stock_data",
    "screen_stocks",
    "get_crypto_prices",
    "get_exchange_rates",
    "track_crypto_portfolio"
  ]
}

💰 Pricing

EventPrice (USD)When it is charged
Actor Start (apify-actor-start)$5e-05Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).
Tool call (tool-call)$0.02Per-tool invocation via MCP Standby

Pay-per-event: you pay only for what the run delivers. A run that delivers nothing bills no result events (only the actor-start event, when the actor defines one). Example: a run that delivers 100 results costs 100 × $0.02 = $2.00 plus the start fee.

🔗 Related Actors

More from the NexGenData MCP servers for AI agents family:

29 more in this family on the NexGenData Store page.

🛠 Tools (5)

  • get_stock_data — Live price, change and key fundamentals for a ticker.
  • screen_stocks — Filter stocks by price, valuation and other criteria.
  • get_crypto_prices — Current prices for major cryptocurrencies.
  • get_exchange_rates — Live foreign-exchange rates.
  • track_crypto_portfolio — Value a set of crypto holdings at current prices.

🔌 Connect (Claude Desktop / Cursor / n8n / OpenAI Agents SDK)

Add this MCP server to your client config:

{
  "mcpServers": {
    "finance": {
      "url": "https://nexgendata--finance-mcp-server.apify.actor/mcp"
    }
  }
}

Sample agent prompt:

Screen US stocks trading under $20 with a P/E below 15, then get live quotes for the top 5.

Pricing: $0.02 per tool call (Pay-Per-Event). Runs in Standby mode.


Related NexGenData actors

Use caseActor
Yahoo Finance quotes + fundamentals via scraperYahoo Finance Scraper
Finviz screener with 100+ filtersFinviz Stock Screener
Recently funded startups (SEC Form D + TechCrunch + YC)Startup Funding Tracker
Upcoming IPOsIPO Tracker
Earnings calendar with estimatesEarnings Calendar
Treasury yield curve + bond dataTreasury Yields & Bonds
ETF holdingsETF Holdings Tracker
FX rates real-timeFX Rates Tracker
AI-callable real-estate dataReal Estate MCP Server
AI-callable news dataNews MCP Server

Home: thenextgennexus.com Full catalog: apify.com/nexgendata

Actor input Schema

Actor input object example

{}

API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

JavaScript example

import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("nexgendata/finance-mcp-server").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Python example

from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("nexgendata/finance-mcp-server").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

CLI example

echo '{}' |
apify call nexgendata/finance-mcp-server --silent --output-dataset

MCP server setup

{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,nexgendata/finance-mcp-server"
        }
    }
}

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an Authorization: Bearer <APIFY_API_TOKEN> header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/OsDpP44sLlEWi88CH/builds/BSH6SBVrFivhf2fxv/openapi.json