Hacker News MCP Server for Pydantic AI 3 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Hacker News through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Hacker News "
"(3 tools)."
),
)
result = await agent.run(
"What tools are available in Hacker News?"
)
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 Hacker News MCP Server
Connect to Hacker News (Y Combinator) and take full control of your tech news consumption, discussion auditing, and trend tracking through natural conversation.
Pydantic AI validates every Hacker News tool response against typed schemas, catching data inconsistencies at build time. Connect 3 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
- Front Page Orchestration — Fetch current Top stories to retrieve popular social links, titles, scores, and author metadata natively within your chat
- Real-time Submission Tracking — Iterate through chronological submissions to discover cutting-edge tech updates and new project launches flawlessly
- Detailed Item Auditing — Read the full contents of specific HN items (stories, comments, or polls) by their numeric IDs to extract exact textual context
- Clean Comment Retrieval — Retrieve discussion threads with HTML comments converted cleanly into Markdown, allowing your AI agent to reason with structured conversations limitlessly
- Story Metadata Inspection — Analyze specific node blocks identifying submission times, URL references, and total comment counts synchronously
- Trend Discovery — Identify high-ranking tech discussions and gather required IDs to browse and discover ongoing community debates natively
The Hacker News MCP Server exposes 3 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.
How to Connect Hacker News to Pydantic AI via MCP
Follow these steps to integrate the Hacker News MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
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 Hacker News with type-safe schemas
Why Use Pydantic AI with the Hacker News MCP Server
Pydantic AI provides unique advantages when paired with Hacker News 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 Hacker News integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Hacker News connection logic from agent behavior for testable, maintainable code
Hacker News + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Hacker News MCP Server delivers measurable value.
Type-safe data pipelines: query Hacker News with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Hacker News tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Hacker News and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Hacker News responses and write comprehensive agent tests
Hacker News MCP Tools for Pydantic AI (3)
These 3 tools become available when you connect Hacker News to Pydantic AI via MCP:
get_item
Read the detailed contents of a specific Hacker News item (a story, comment, or poll) by its ID. Returns HTML comments converted cleanly to Markdown
new_stories
Fetch the most recently submitted stories on Hacker News
top_stories
Fetch the current Top stories on the Hacker News front page
Example Prompts for Hacker News in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Hacker News immediately.
"Show me the top 5 stories on Hacker News right now"
"Get details and comments for HN item 123456"
"What are the newest submissions on tech launches?"
Troubleshooting Hacker News MCP Server with Pydantic AI
Common issues when connecting Hacker News to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiHacker News + Pydantic AI FAQ
Common questions about integrating Hacker News 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.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Hacker News with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Hacker News to Pydantic AI
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.
