Newslit MCP Server for Pydantic AIGive Pydantic AI instant access to 6 tools to Create Report, Delete Report, Get Report, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Newslit through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The Newslit app connector for Pydantic AI 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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Newslit "
"(6 tools)."
),
)
result = await agent.run(
"What tools are available in Newslit?"
)
print(result.data)
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.
Pydantic AI validates every Newslit tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI
When Pydantic AI 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 Pydantic AI via MCP
Follow these steps to wire Newslit into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Newslit MCP Server
Pydantic AI provides unique advantages when paired with Newslit through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Newslit integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Newslit connection logic from agent behavior for testable, maintainable code
Newslit + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Newslit MCP Server delivers measurable value.
Type-safe data pipelines: query Newslit with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Newslit tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Newslit and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Newslit responses and write comprehensive agent tests
Example Prompts for Newslit in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Newslit to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiNewslit + Pydantic AI FAQ
Common questions about integrating Newslit MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.