News MCP Server for LlamaIndexGive LlamaIndex instant access to 3 tools to Get Top Headlines, List Sources, Search Everything

Name: News
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add News as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The News MCP Server for LlamaIndex is a standout in the Knowledge Management category — giving your AI agent 3 tools to work with, ready to go from day one.

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to News. "
            "You have 3 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in News?"
    )
    print(response)

asyncio.run(main())

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About News MCP Server

Connect your AI agent to the world's most comprehensive news database. This server provides instant access to live headlines and historical articles from thousands of publishers worldwide, ranging from major news outlets to niche blogs.

LlamaIndex agents combine News tool responses with indexed documents for comprehensive, grounded answers. Connect 3 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

Global Search — Search through millions of articles using advanced keywords, date filters, and domain restrictions.
Breaking Headlines — Get the latest top stories filtered by country, category (business, tech, sports, etc.), or specific publishers.
Source Discovery — Find and filter valid news sources and publishers to fine-tune your monitoring.
Market Intelligence — Track mentions of companies, products, or trends across the global media landscape.

The News MCP Server exposes 3 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 3 News tools available for LlamaIndex

When LlamaIndex connects to News through Vinkius, your AI agent gets direct access to every tool listed below — spanning breaking-news, article-search, media-monitoring, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get top headlines on News

Do not mix country/category with sources. Returns live top and breaking headlines

list

List sources on News

Returns a list of publishers available for top headlines

Search everything on News

Supports advanced operators (+, -, AND, OR, NOT) in the query. Search through millions of articles from over 150,000 news sources

Connect News to LlamaIndex via MCP

Follow these steps to wire News into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 3 tools from News

Why Use LlamaIndex with the News MCP Server

LlamaIndex provides unique advantages when paired with News through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine News tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain News tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query News, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what News tools were called, what data was returned, and how it influenced the final answer

News + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the News MCP Server delivers measurable value.

Hybrid search: combine News real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query News to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying News for fresh data

Analytical workflows: chain News queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for News in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with News immediately.

"Search for the latest news about 'Quantum Computing' from the last 7 days."

"What are the top technology headlines in the US right now?"

"List all available news sources for sports in France."

Troubleshooting News MCP Server with LlamaIndex

Common issues when connecting News to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

News + LlamaIndex FAQ

Common questions about integrating News MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query News tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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