How do I find my Finnhub API Key?

Log in to your [**Finnhub dashboard**](https://finnhub.io/dashboard), and you will find your API Key on the main page. Copy and paste it below.

Does it support real-time stock prices?

Yes. The `get_stock_quote` tool provides real-time pricing data for supported exchanges globally.

Can the agent show news for a specific category?

Yes. Use the `get_market_news` tool providing the `category` parameter (e.g., 'forex' or 'crypto'). Your agent will retrieve latest headlines for that vertical instantly.

Finnhub MCP Server for CrewAI 6 tools — connect in under 2 minutes

Name: Finnhub
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 6 Tools Framework

Connect your CrewAI agents to Finnhub through Vinkius, pass the Edge URL in the `mcps` parameter and every Finnhub tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Finnhub Specialist",
    goal="Help users interact with Finnhub effectively",
    backstory=(
        "You are an expert at leveraging Finnhub tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Finnhub "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 6 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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About Finnhub MCP Server

Empower your AI agent to orchestrate your entire financial research and market auditing workflow with Finnhub, the comprehensive platform for real-time stock and crypto data. By connecting Finnhub to your agent, you transform complex market querying into a natural conversation. Your agent can instantly retrieve stock quotes, audit company profiles, and monitor market news without you ever touching a financial terminal. Whether you are conducting investment research or tracking crypto trends, your agent acts as a real-time financial analyst, ensuring your intelligence is always grounded in live market data.

When paired with CrewAI, Finnhub becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Finnhub tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Stock Auditing — Retrieve real-time price quotes for thousands of global stocks and maintain a clear view of market changes.
Company Oversight — Audit comprehensive company profiles and basic financial metrics to understand organizational health.
Market Intelligence — Search for stock and crypto symbols to identify relevant assets for your portfolio instantly.
News Discovery — Monitor latest market news across various categories, including general, forex, and crypto, to stay on top of trends.
Crypto Monitoring — List supported crypto symbols for dozens of exchanges to maintain strict control over digital asset data.

The Finnhub MCP Server exposes 6 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Finnhub to CrewAI via MCP

Follow these steps to integrate the Finnhub MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 6 tools from Finnhub

Why Use CrewAI with the Finnhub MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Finnhub through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Finnhub + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Finnhub MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Finnhub for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Finnhub, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Finnhub tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Finnhub against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Finnhub MCP Tools for CrewAI (6)

These 6 tools become available when you connect Finnhub to CrewAI via MCP:

get_basic_financials

Get basic financial metrics for a company

get_company_profile

Get general information about a company by symbol

get_market_news

Get latest market news in a category

get_stock_quote

Get real-time quote data for a specific stock symbol

list_crypto_symbols

List supported crypto symbols for an exchange

search_symbols

Search for stock or crypto symbols by name

Example Prompts for Finnhub in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Finnhub immediately.

"Get the current stock quote for 'AAPL' (Apple) using Finnhub."

"Show the latest news in the 'crypto' category."

"What are the basic financial metrics for 'MSFT' (Microsoft)?"

Troubleshooting Finnhub MCP Server with CrewAI

Common issues when connecting Finnhub to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Finnhub + CrewAI FAQ

Common questions about integrating Finnhub MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.