How to Use the Newslit MCP in CrewAI

Q: How do I assign Newslit tools to a specific CrewAI agent?

You pass the server URL to the agent's mcps list during definition. This gives that specific agent access to tools like liststories while keeping other agents focused on non-news tasks.

Q: How do I limit which Newslit tools a CrewAI agent can use?

You use the advanced MCPServerHTTP setup with a tool filter. This prevents a research agent from accidentally running deletereport while allowing it to read media data.

Run autonomous PR teams that track press coverage and compile reports using CrewAI multi-agent systems.

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Connect Newslit MCP to CrewAI

Create your Vinkius account to connect Newslit 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 Newslit with CrewAI

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Coordinate multi-agent press reviews with CrewAI

The `list_stories` tool feeds raw press coverage directly to your research agents. In a CrewAI setup, a specialized media analyst agent uses this tool to gather recent stories before handing them off to a writer agent. The MCP protocol ensures the data flows between agents without formatting issues. This division of labor allows your autonomous crew to process hundreds of news items without human bottlenecks. The analyst filters the noise, leaving only relevant coverage for the final report. It's like having a full-time PR agency running on your local machine.

Automate media report generation via specialized agents

The `create_report` tool lets a writer agent compile its final media impact analysis into a structured format. This tool is exposed directly to the reporting agent, which executes the creation step once the research phase is complete. The MCP Server validates the structure before saving it. The entire process runs autonomously on a schedule. Your crew gathers the data, structures the analysis, and saves the final document without anyone clicking a button. It saves hours of manual copy-pasting every week.

Manage active tracking configurations autonomously

The `update_report` tool allows a controller agent to adjust tracking keywords based on competitor moves. If a monitoring agent detects a new competitor launch, it directs the controller to update your tracking parameters. The MCP connection updates the live tracking configurations instantly. This creates a closed-loop system where your media intelligence adapts to real-world events. Your tracking setup stays current even when your PR team is offline. It ensures you never miss a breaking story in your industry.

Setup guide

Set up Newslit 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 Newslit tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You pass the server URL to the agent's `mcps` list during definition. This gives that specific agent access to tools like `list_stories` while keeping other agents focused on non-news tasks.

Yes, agents use shared memory to pass context. One agent can locate stories using `list_stories`, while another agent compiles those findings using `create_report`.

You use the advanced `MCPServerHTTP` setup with a tool filter. This prevents a research agent from accidentally running `delete_report` while allowing it to read media data.

Yes, a supervisor agent can oversee the execution of report retrieval calls. It ensures the research agent successfully retrieves the data before triggering the next step in the pipeline.

Yes, the server runs in an ephemeral sandbox on Vinkius. Your news reports and search configurations are never stored permanently on the execution host, keeping your strategic data private.

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