NewsCatcher MCP Server for LangChain 4 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect NewsCatcher through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"newscatcher": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using NewsCatcher, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
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.
LangChain's ecosystem of 500+ components combines seamlessly with NewsCatcher through native MCP adapters. Connect 4 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the NewsCatcher MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 4 tools from NewsCatcher via MCP
Why Use LangChain with the NewsCatcher MCP Server
LangChain provides unique advantages when paired with NewsCatcher through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine NewsCatcher MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across NewsCatcher queries for multi-turn workflows
NewsCatcher + LangChain Use Cases
Practical scenarios where LangChain combined with the NewsCatcher MCP Server delivers measurable value.
RAG with live data: combine NewsCatcher tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query NewsCatcher, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain NewsCatcher tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every NewsCatcher tool call, measure latency, and optimize your agent's performance
NewsCatcher MCP Tools for LangChain (4)
These 4 tools become available when you connect NewsCatcher to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting NewsCatcher to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersNewsCatcher + LangChain FAQ
Common questions about integrating NewsCatcher MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect NewsCatcher with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect NewsCatcher to LangChain
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.