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How to Use the Hacker News MCP in LlamaIndex

Index Hacker News discussions into your LlamaIndex vector store to build a searchable knowledge base of tech industry sentiment.

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Connect Hacker News MCP to LlamaIndex

Create your Vinkius account to connect Hacker News to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Index Live Tech Discussions with LlamaIndex

The `get_item` tool gets specific Hacker News post details and comment trees to feed directly into your LlamaIndex ingestion pipeline. Your LlamaIndex system converts these Hacker News discussions into vector embeddings for semantic search. LlamaIndex stores these parsed Hacker News comments in your local vector database. Instead of guessing what developers think about a new framework, you can query your LlamaIndex engine for actual Hacker News sentiment.

Fetch Top Stories via MCP Server

The `top_stories` tool fetches the current front-page Hacker News IDs to keep your local LlamaIndex knowledge base updated. Your LlamaIndex LLM agent scans these IDs to decide which new Hacker News discussions need immediate indexing. LlamaIndex structures this incoming Hacker News data into clean document nodes automatically. This setup prevents your LlamaIndex RAG application from consuming stale or outdated Hacker News forum information.

Scan the New Submissions Firehose

The `new_stories` tool grabs the most recent Hacker News post IDs directly from the feed for rapid LlamaIndex context ingestion. Your LlamaIndex agent uses this raw list to discover niche Hacker News topics before they trend. LlamaIndex filters these Hacker News IDs through your custom query engine to discard low-quality submissions. Only relevant Hacker News posts get passed to the LlamaIndex embedding model, saving you API costs.

Setup guide

Set up Hacker News MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all Hacker News MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

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

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Hacker News tools.",
)
response = await agent.run("List recent Hacker News data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Hacker News. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Hacker News MCP in LlamaIndex

Install llama-index-tools-mcp and initialize the BasicMCPClient. Use McpToolSpec to convert these MCP server endpoints into standard LlamaIndex tools for indexing Hacker News.
Yes. You can use the allowed_tools filter to limit LlamaIndex ingestion to specific Hacker News tools like `top_stories` or `get_item` depending on your storage limits.
You can set up a recurring LlamaIndex script that calls `new_stories` to fetch fresh Hacker News IDs. LlamaIndex then parses and indexes only the new items to avoid duplicate entries.
Yes. By indexing the output of `get_item` into LlamaIndex, you can build a semantic search tool over specific Hacker News discussion threads.
No. This MCP server only fetches public Hacker News story IDs and comment Markdown. Your private LlamaIndex vector store and query embeddings remain entirely local.

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