How to Use the Marketaux MCP in CrewAI

Q: Can I restrict which Marketaux tools a CrewAI agent can access?

Yes, you can. Use the MCPServerHTTP class from crewai.mcp and apply a toolfilter to only expose specific tools like getstockmarketstatus or getindices to certain agents in your CrewAI setup.

Q: How does the CrewAI setup handle stock market status checks?

The crew assigns a monitoring agent to run getstockmarketstatus at the start of a run. If the target exchange is closed, the coordinator agent can pause the workflow or shift the crew's focus to active global markets.

Deploy specialized agent squads to analyze Marketaux sentiment and coordinate market research inside CrewAI teams.

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Create your Vinkius account to connect Marketaux to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Marketaux with CrewAI

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Coordinate multi-agent market research in CrewAI.

Build a dedicated financial research desk using specialized agents. In an MCP-powered CrewAI setup, one agent can focus entirely on tracking global macro trends using `get_indices` and `get_stock_market_status`. This analyst agent then dives deep into individual tickers once it receives the findings. By dividing the work, the analyst agent runs `search_news` to find specific corporate announcements and uses `get_entities` to map out key stakeholders. This collaborative approach keeps your CrewAI research structured and ensures no critical details are missed during the handoff.

Automated sentiment tracking and escalation.

Set up a continuous monitoring loop using a dedicated CrewAI sentiment agent. This agent repeatedly calls `get_sentiment_analysis` to monitor your portfolio's mood scores. If it detects a sudden spike in negative sentiment, it escalates the file to a senior decision-making agent. The escalation agent inside CrewAI then calls `get_trending_news` to isolate the exact articles causing the panic. By dividing these tasks, your CrewAI team processes complex market events in parallel, mimicking a real Wall Street analyst desk.

Deep sector intelligence and symbol validation.

Ensure your CrewAI agents are always talking about the correct assets. A validation agent uses `get_symbols` to verify ticker symbols before your research agents compile reports. This prevents the crew from writing analysis on the wrong companies or exchanges. The crew can also run `list_industries` and `search_exchanges` to organize reports by market sector and geographic region. Structured data makes it easy for your downstream CrewAI agents to generate clean, categorized market summaries.

Setup guide

Set up Marketaux MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Marketaux tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Marketaux Analyst",
    goal="Access and analyze Marketaux data via MCP.",
    backstory="Expert analyst with direct Marketaux access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Marketaux transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Marketaux Analyst",
        goal="Access and analyze Marketaux data via MCP.",
        backstory="Expert analyst with direct Marketaux access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Marketaux transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Marketaux. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Marketaux MCP in CrewAI

You can pass your Vinkius server URL directly into the agent's configuration using the `mcps` parameter. This automatically exposes tools like `get_sentiment_analysis` and `get_latest_news` to that specific CrewAI agent, keeping its focus sharp.

Yes, you can. Use the `MCPServerHTTP` class from `crewai.mcp` and apply a `tool_filter` to only expose specific tools like `get_stock_market_status` or `get_indices` to certain agents in your CrewAI setup.

CrewAI agents use shared memory to pass tool outputs. When your research agent calls `search_news`, the resulting articles and metadata are stored in the crew's context, allowing the writer agent to read and summarize them without calling the Marketaux API again.

The crew assigns a monitoring agent to run `get_stock_market_status` at the start of a run. If the target exchange is closed, the coordinator agent can pause the workflow or shift the crew's focus to active global markets.

Every financial news and sentiment request made by your CrewAI agents is routed through an ephemeral, zero-trust sandbox on Vinkius. Your data is processed in a secure environment with one endpoint token, ensuring your proprietary watchlists are never saved or exposed to external networks.

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