Newslit MCP Server for LlamaIndexGive LlamaIndex instant access to 6 tools to Create Report, Delete Report, Get Report, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Newslit as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The Newslit app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Newslit. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in Newslit?"
)
print(response)
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 Newslit MCP Server
Connect your Newslit account to any AI agent and take full control of your news monitoring and market intelligence through natural conversation. Newslit provides a powerful News API for generating targeted news briefs and story collections, and this integration allows you to retrieve report metadata, create customized monitoring filters, and ingest real-time news stories directly from your chat interface.
LlamaIndex agents combine Newslit tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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
- Report & Monitoring Orchestration — List all managed news reports and retrieve detailed configuration metadata programmatically to ensure your research setup is always synchronized.
- Targeted Story Intelligence — Fetch the latest news stories and headlines associated with your reports directly from the AI interface to track industry trends and competitors.
- Custom Report Control — Create, update, and delete customized news reports with specific topic filters and exclusions via natural language to drive better research efficiency.
- Media Discovery Oversight — Retrieve stories with detailed source information and direct links to the original articles using simple AI commands.
- Operational Monitoring — Track system responses and manage report metadata to ensure your news intelligence is always optimized.
The Newslit MCP Server exposes 6 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 6 Newslit tools available for LlamaIndex
When LlamaIndex connects to Newslit through Vinkius, your AI agent gets direct access to every tool listed below — spanning media-monitoring, news-intelligence, press-clipping, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Pass report data as a JSON string. Create a new news report
Delete a news report
Get report details
List all news reports
Retrieve news stories from a report
Update an existing report
Connect Newslit to LlamaIndex via MCP
Follow these steps to wire Newslit into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Newslit MCP Server
LlamaIndex provides unique advantages when paired with Newslit through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Newslit tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Newslit tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Newslit, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Newslit tools were called, what data was returned, and how it influenced the final answer
Newslit + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Newslit MCP Server delivers measurable value.
Hybrid search: combine Newslit real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Newslit 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 Newslit for fresh data
Analytical workflows: chain Newslit queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Newslit in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Newslit immediately.
"List all my news reports in Newslit."
"Get the full details and story coverage for report ID rpt_4521."
"Create a new media monitoring report tracking mentions of artificial intelligence in tech news."
Troubleshooting Newslit MCP Server with LlamaIndex
Common issues when connecting Newslit to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpNewslit + LlamaIndex FAQ
Common questions about integrating Newslit MCP Server with LlamaIndex.