How to Use the Mediastack MCP in CrewAI

Deploy specialized research crews with CrewAI that use Mediastack to monitor global news 24/7.

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Connect Mediastack MCP to CrewAI

Create your Vinkius account to connect Mediastack 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 Mediastack with CrewAI

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Specialized news agents for CrewAI

Assign a researcher agent to use `get_news` while your writer agent handles the synthesis. CrewAI handles the delegation, so your researcher focuses entirely on gathering raw intelligence. This division of labor keeps your agents efficient. One agent fetches, one agent filters, and the final output stays clean.

Automated source management in CrewAI

Give your moderator agent access to `list_sources` to keep the team informed of available data providers. It can update the researcher agent's search parameters in real-time. This keeps your crew synchronized. If a source goes offline, the moderator agent detects it and shifts the focus to other available outlets.

Autonomous news monitoring with CrewAI

Run your crew on a schedule to pull fresh updates using `get_news` without human input. CrewAI manages the memory, so the agents remember what they already analyzed. You build an autonomous system that watches the news for you. It escalates only when it finds something that matches your specific criteria.

Setup guide

Set up Mediastack 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 Mediastack tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Mediastack 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="Mediastack Analyst",
        goal="Access and analyze Mediastack data via MCP.",
        backstory="Expert analyst with direct Mediastack access.",
        tools=mcp_tools,
    )

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

Add the server URL to your agent's MCP list. Once connected, your agents can call the tools as if they were native functions.

Yes, the shared memory feature allows one agent to fetch news and another to summarize it. They work on the same data context.

It does. You can set up a long-running process that periodically queries for news, ensuring your agents stay up to date.

Use the tool filter in your MCP configuration to expose only `get_news` or `list_sources` to specific agents, limiting their scope.

The data is handled within your local runtime. It is not stored or logged by us; it simply flows from the API to your agent's memory.

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