Connectto Hacker News MCP Server

Seamlessly integrate your CrewAI multi-agent systems with Hacker News using Klavis AI's comprehensive MCP server connection guide.

Hacker News icon

Hacker News

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Access the latest tech news, discussions, and stories from Hacker News. Fetch top stories, newest posts, best stories, show HN posts, ask HN posts, job listings, and user profiles from the popular tech community platform

Available Tools:

  • hackerNews_item
  • hackerNews_user
  • hackerNews_topstories
  • +6 more tools

Quick Setup Guide

Follow these steps to connect CrewAI to this MCP server

1

Create Your Account

Sign up for KlavisAI to access our MCP server management platform.

2

Configure Agents & Tools

Set up your CrewAI agents with the MCP server tools and configure authentication settings for collaborative workflows.

3

Deploy Your Crew

Test your multi-agent workflows and start using your enhanced collaborative AI capabilities.

CrewAI + KlavisAI Integration Snippets

import os
from crewai import Agent, Task, Crew, Process
from crewai_tools import MCPServerAdapter
from klavis import Klavis
from klavis.types import McpServerName, ConnectionType

# Initialize clients
klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))

hacker_news_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.HACKER_NEWS,
    user_id="1234",
    platform_name="Klavis",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

with MCPServerAdapter(hacker_news_mcp_instance.server_params) as mcp_tools:
    # Create a Hacker News Analysis Agent
    hacker_news_agent = Agent(
        role="Hacker News Analyst",
        goal="Research and analyze hacker news to extract comprehensive insights",
        backstory="You are an expert at analyzing hacker news and creating professional summaries.",
        tools=mcp_tools,
        reasoning=True,
        verbose=False
    )
    
    # Define Task
    analysis_task = Task(
        description=f"Research and analyze hacker news data. Extract relevant information and create a comprehensive summary with key points and main takeaways.",
        expected_output="Complete analysis with structured summary, key insights, and main takeaways",
        agent=hacker_news_agent,
        markdown=True
    )
    
    # Create and execute the crew
    hacker_news_crew = Crew(
        agents=[hacker_news_agent],
        tasks=[analysis_task],
        verbose=False,
        process=Process.sequential
    )
    
    result = hacker_news_crew.kickoff()

Frequently Asked Questions

Everything you need to know about connecting CrewAI to this MCP server

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