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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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 This setup prevents your LlamaIndex RAG application from consuming stale or outdated Hacker News forum information.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.
Set up Hacker News MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all Hacker News MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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
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