Skip to main content
Glama

HackerNews数据服务 HackerNews Search

一个通过Model Context Protocol提供HackerNews内容搜索、检索和分析的服务,适用于AI代理和开发者。 A service that provides HackerNews content search, retrieval and analysis through the Model Context Protocol, suitable for AI agents and developers.## 工具列表 Tool List

本MCP服务封装下列工具,可让模型通过标准化接口调用以下功能。 本MCP服务封装下列工具,可让模型通过标准化接口调用以下功能。

工具 Tool

描述 Description

search-posts

Search HackerNews for stories, comments, and other content by keyword. Supports: - Keyword search across titles, text, and authors - Tag filtering (story, comment, poll, show_hn, ask_hn, front_page, author_USERNAME) - Numeric filters for points, comments, and dates - Pagination with customizable results per page - Advanced filtering with OR logic and multiple conditions Basic Examples: - Search for AI stories: { "query": "AI", "tags": ["story"] } - Find popular posts: { "query": "Python", "numericFilters": ["points>=100"] } - Filter by author: { "query": "startup", "tags": ["author_pg"] } - Date range: { "query": "startup", "numericFilters": ["created_at_i>1640000000"] } Advanced Filtering Examples: - High engagement posts: { "query": "programming", "numericFilters": ["points>=100", "num_comments>=50"] } - OR logic for tags: { "query": "web", "tags": ["(story,poll)"] } - returns stories OR polls - Author with filters: { "query": "", "tags": ["author_pg", "story"], "numericFilters": ["points>=50"] } - Multiple conditions: { "query": "AI", "tags": ["story"], "numericFilters": ["points>=200", "num_comments>=100"] } Numeric Filter Operators: < (less than), <= (less than or equal), = (equal), >= (greater than or equal), > (greater than) Numeric Filter Fields: points, num_comments, created_at_i (Unix timestamp) Tag Syntax: - Single tag: ["story"] - only stories - Multiple tags (AND): ["story", "show_hn"] - stories that are also show_hn - OR logic: ["(story,poll)"] - stories OR polls - Author filter: ["author_USERNAME"] - posts by specific author Returns paginated results with hits, total count, and page information.

get-front-page

Retrieve posts currently on the HackerNews front page. Returns stories sorted by HackerNews ranking algorithm. The front page typically contains the most popular and trending stories. Supports: - Pagination to view beyond the first page - Customizable results per page (default: 30) - All posts are tagged with 'front_page' Examples: - Get first page: { } - Get with custom page size: { "hitsPerPage": 50 } - Get second page: { "page": 1 } Returns the same structure as search results with hits, pagination info, and metadata.

get-latest-posts

Retrieve the most recent HackerNews posts sorted by date. Returns posts in chronological order (newest first), including all types of content unless filtered. Supports: - Filter by content type using tags (story, comment, poll, show_hn, ask_hn, etc.) - Pagination to view older posts - Customizable results per page (default: 20) - Empty query to get all recent posts Examples: - Get latest stories: { "tags": ["story"] } - Get latest comments: { "tags": ["comment"] } - Get all recent activity: { } - Get with custom page size: { "hitsPerPage": 50 } Use this to monitor real-time HackerNews activity or find the newest content.

get-item

Retrieve detailed information about a specific HackerNews item by ID. Returns complete item details including the full nested comment tree. Use this to: - View a story with all comments - Read a specific comment with its replies - Explore discussion threads in depth - Get complete metadata for any item Features: - Full nested comment tree (all levels) - Complete item metadata (title, url, text, points, author, etc.) - Works for stories, comments, polls, and poll options - Includes creation time and item type Examples: - Get story with comments: { "itemId": "38456789" } - Get specific comment: { "itemId": "38456790" } - Get poll: { "itemId": "126809" } Note: Large comment threads (>500 comments) may take 2-3 seconds to load due to nested fetching. Returns error if item doesn't exist or has been deleted.

get-user

Retrieve public profile information for a HackerNews user. Returns user profile including karma, bio, and account creation date. Use this to: - Check user reputation (karma score) - Read user bio and about information - See when account was created - Verify user existence before searching their content Features: - Username (case-sensitive) - Karma score (total upvotes received) - About/bio text (may contain HTML) - Account creation date (Unix timestamp) Examples: - Get famous user: { "username": "pg" } - Check moderator: { "username": "dang" } - Verify author: { "username": "tptacek" } Username validation: - Alphanumeric characters and underscores only - Case-sensitive - Must exist on HackerNews Returns error if user doesn't exist or username format is invalid.

检查服务 ## Inspector

工具在线测试: https://mcp.xiaobenyang.com/inspector/1777316659382275

Online Tool test https://mcp.xiaobenyang.com/inspector/1777316659382275

服务配置 MCP Server Config

如何获取 XBY-APIKEY ? How to get XBY-APIKEY ?

访问小笨羊科技网站 https://xiaobenyang.com,注册用户即可获得APIKEY Visit XiaoBenYang website https://xiaobenyang.com, register and get the APIKEY.

SSE

{ "mcpServers": { "HackerNews数据服务": { "headers": { "XBY-APIKEY": "<YOUR_XBY_APIKEY>" }, "type": "sse", "url": "https://mcp.xiaobenyang.com/1777316659382275/sse" } } }

STREAMABLE HTTP

{ "mcpServers": { "HackerNews数据服务": { "headers": { "XBY-APIKEY": "<YOUR_XBY_APIKEY>" }, "type": "streamable_http", "url": "https://mcp.xiaobenyang.com/1777316659382275/mcp" } } }

STDIO

{ "mcpServers": { "HackerNews数据服务": { "command": "npx", "args": [ "-y", "xiaobenyang-mcp" ], "env": { "XBY_APIKEY": "<YOUR_XBY_APIKEY>", "mcpId": "1777316659382275", }, "transport": "stdio" } } }
One-click Deploy
A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/xiaobenyang-com/HackerNews-Search'

If you have feedback or need assistance with the MCP directory API, please join our Discord server