How does NewsCatcher differ from other news APIs?

NewsCatcher uses AI to cluster similar stories and normalize data from diverse sources, making it easier to track narratives and avoid duplicates.

Can I filter news by country and language?

Yes! You can filter by 'lang' (e.g., 'en', 'pt') and 'countries' (e.g., 'US', 'BR', 'FR') to get highly localized content.

What are 'News Clusters'?

News Clusters group articles that cover the same event or topic, allowing you to see diverse perspectives and coverage from different publishers.

NewsCatcher MCP Server for CrewAI 4 tools — connect in under 2 minutes

Name: NewsCatcher
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 4 Tools Framework

Connect your CrewAI agents to NewsCatcher through Vinkius, pass the Edge URL in the `mcps` parameter and every NewsCatcher tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="NewsCatcher Specialist",
    goal="Help users interact with NewsCatcher effectively",
    backstory=(
        "You are an expert at leveraging NewsCatcher tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in NewsCatcher "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 4 available tools "
        "and what they can do."
    ),
)

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

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About NewsCatcher MCP Server

Connect NewsCatcher to any AI agent and access a massive, real-time news feed aggregator with powerful clustering and filtering capabilities.

When paired with CrewAI, NewsCatcher becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call NewsCatcher tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Real-Time Search — Search millions of articles instantly with keyword, language, country, and source filters
Latest News Feed — Get the most recent articles for any topic or publisher
News Clustering — Group similar stories to see how different outlets cover the same event
Source Discovery — List available news sources by country, topic, or language
Global Coverage — Access news from over 100,000 sources worldwide

The NewsCatcher MCP Server exposes 4 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect NewsCatcher to CrewAI via MCP

Follow these steps to integrate the NewsCatcher MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 4 tools from NewsCatcher

Why Use CrewAI with the NewsCatcher MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with NewsCatcher through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

NewsCatcher + CrewAI Use Cases

Practical scenarios where CrewAI combined with the NewsCatcher MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries NewsCatcher for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries NewsCatcher, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain NewsCatcher tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries NewsCatcher against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

NewsCatcher MCP Tools for CrewAI (4)

These 4 tools become available when you connect NewsCatcher to CrewAI via MCP:

get_latest_news

Use "q" for keywords, "topic" (e.g., "sports"), "countries" (e.g., "US"), or "sources" (e.g., "cnn.com"). Get the latest news articles for a topic or source

get_news_clusters

Get grouped news stories (clusters)

list_sources

Filter by "topic", "countries", or "lang". List available news sources

search_news

Use "q" for keywords, "lang" for language (e.g., "en"), "countries" for country codes (e.g., "US"), and "sort_by" (relevancy, date). Search for news articles using keywords and filters

Example Prompts for NewsCatcher in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with NewsCatcher immediately.

"Find latest news about 'Artificial Intelligence' in the US."

"Show me clusters for the topic 'Elections'."

"List all English news sources available for Sports."

Troubleshooting NewsCatcher MCP Server with CrewAI

Common issues when connecting NewsCatcher to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

NewsCatcher + CrewAI FAQ

Common questions about integrating NewsCatcher MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.