How to Use the News MCP in CrewAI

Q: How do I pass the News tool to a CrewAI agent?

You can pass the MCP server URL directly into the agent's mcps parameter during initialization. This automatically configures the agent to use tools like gettopheadlines without manual setup.

Q: Can I use CrewAI to search News across specific publishers?

Yes, you can have one agent run listsources to compile a clean list of publishers, and then pass that list to a second agent running searcheverything for focused research.

Q: How does CrewAI handle rate limits when running multiple News agents?

You should use the MCP connection with a toolfilter to limit which agents can run search queries. This prevents your crew from exhausting your API limits through parallel execution.

Deploy specialized agent teams with CrewAI to monitor breaking news and analyze global trends in real-time.

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Connect News MCP to CrewAI

Create your Vinkius account to connect News 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 News with CrewAI

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Multi-agent news research teams with CrewAI

Assign specialized roles to different agents using this MCP Server to search millions of articles with `search_everything`. A research agent can use the tool to gather articles on a specific industry, while an analyst agent evaluates the sentiment. Your CrewAI agents share memory and collaborate during the article research cycle. This prevents redundant search queries and ensures your crew builds a coherent report based on the same factual news pool.

Automated headline monitoring and moderation

Set up a crew that acts as a real-time monitor for industry crises by calling `get_top_headlines` continuously. Your monitoring agent spots urgent issues and passes them to a moderator agent for immediate escalation. You can run this process sequentially or hierarchically. It's best to isolate tasks so your monitoring agent doesn't get bogged down in analysis when it should be fetching fresh updates.

Selective tool exposure for safer execution

Restrict which agents have access to heavy search tools to manage your API quota by filtering `list_sources`. You can use a tool_filter on the MCP server connection to only expose the publisher lookup to your coordinator agent. This prevents junior agents in your crew from firing expensive search requests. You maintain strict control over how your autonomous team interacts with the external news index.

Setup guide

Set up News 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 News tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent News 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 →

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="News Analyst",
        goal="Access and analyze News data via MCP.",
        backstory="Expert analyst with direct News access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent News 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 NewsAPI. 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 News MCP in CrewAI

You can pass the MCP server URL directly into the agent's `mcps` parameter during initialization. This automatically configures the agent to use tools like `get_top_headlines` without manual setup.

Yes, you can have one agent run `list_sources` to compile a clean list of publishers, and then pass that list to a second agent running `search_everything` for focused research.

You should use the MCP connection with a tool_filter to limit which agents can run search queries. This prevents your crew from exhausting your API limits through parallel execution.

The integration supports stdio, SSE, and Streamable HTTP transports. This flexibility allows your crew to run locally in a terminal or deployed as a hosted background service.

We run the server in a zero-trust, ephemeral V8 Isolate sandbox. Your agents' search queries and the returned news articles are never saved to persistent storage, ensuring absolute confidentiality for your research topics.

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