How to Use the NewsCatcher MCP in CrewAI

Q: How do I connect NewsCatcher to CrewAI?

Install the crewaitools package. You pass the server URL directly into your agent's mcps array for immediate access.

Q: Can I restrict which NewsCatcher tools an agent uses in CrewAI?

Yes. Use MCPServerHTTP from crewai.mcp and apply a toolfilter. You give the researcher access to search while blocking it from other actions.

Q: How does the agent sort NewsCatcher results?

The searchnews tool accepts a sortby parameter. The agent decides whether to pull the most relevant matches or the absolute newest articles.

Deploy autonomous research teams using CrewAI and the NewsCatcher integration.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect NewsCatcher MCP to CrewAI

Create your Vinkius account to connect NewsCatcher 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.

GDPR Free for Subscribers

Setup NewsCatcher with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Equip agents with an MCP Server

The `search_news` tool lets a dedicated researcher agent scan millions of articles using specific keywords and date sorting. This agent focuses entirely on finding raw facts. Another agent then takes those results and writes a briefing. CrewAI shares the context automatically, meaning your writer agent already knows what the researcher found.

Audit publishers autonomously

The `list_sources` tool outputs available news domains filtered by topic or region. You assign this tool to a moderator agent whose only job is validating credibility. If the moderator approves the list, it passes the domains to the `get_latest_news` tool. This multi-agent setup creates a self-correcting loop for information gathering.

Ingest structured story clusters

The `get_news_clusters` tool provides grouped narratives rather than isolated links. Your analyst agent uses this to understand how different outlets cover the same event. The crew processes these clusters hierarchically. A manager agent reviews the high-level topics, then delegates specific clusters to subordinate agents for deep reading.

Setup guide

Set up NewsCatcher 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 NewsCatcher tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent NewsCatcher 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 NewsCatcher. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect NewsCatcher now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about NewsCatcher MCP in CrewAI

Install the `crewai[tools]` package. You pass the server URL directly into your agent's `mcps` array for immediate access.

Yes. Use `MCPServerHTTP` from `crewai.mcp` and apply a `tool_filter`. You give the researcher access to search while blocking it from other actions.

The `search_news` tool accepts a `sort_by` parameter. The agent decides whether to pull the most relevant matches or the absolute newest articles.

The framework supports stdio, SSE, and Streamable HTTP. You pick the transport that matches your deployment environment.

The server reads the exact keyword strings and source URLs your agents request. Every MCP Server interaction happens inside a temporary V8 isolate sandbox that terminates immediately after use, keeping your proprietary research targets entirely confidential.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript