com.hangingcontext由 hangingcontext.com 发布官方发布者v2.0.2更新于 Oct 26, 2026
Fresh context for agents. Ask, search or follow stories. Each fact cites a Synorb Manifest.
Hanging Context 提供近 24 小时的新闻故事，每条事实都链接到来源，让助手可以提问、搜索并跟进新故事。
Web executable，通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/com.hangingcontext%2Fmcp/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。把它添加到你客户端的 mcpServers 配置中。
{
"mcpServers": {
"hanging-context-news-for-agents": {
"type": "http",
"url": "https://hangingcontext.com/mcp"
}
}
}Fresh, cited context from the last 24 hours for AI agents. Every fact links to its source. Free, no key.
Or connect any MCP client to https://hangingcontext.com/mcp (Streamable HTTP, no authentication).
Small read-only clients for JavaScript and Python. No key, no dependencies.
Each client has ask, latest, story and topics. See js/README.md and python/README.md.
js/: the npm package hanging-context.python/: the PyPI package hanging-context.skills/hanging-context/SKILL.md: when to use Hanging Context and how to call it.plugin.json and mcp.json: an Agent Plugin that bundles the skill and the MCP server.AGENTS.md: rules for agents that edit this repository.Hanging Context is built by Synorb.
来源：README.md，提交 e530277
Ask a question
Answer a question from recent stories. Ranks stories by keyword match and copies the best key facts word for word. Returns up to 5 facts, each with its story URL and Manifest ids, and up to `limit` matched stories. If nothing matches, returns no_match true and suggestions. It does not use an LLM. Use it when the user asks a question about recent news.
dayslimittopicquestion必填Get the latest stories
Get the latest stories, newest first. Filter by topic or beat. Returns up to 20 stories with headline, dek, topic, URL and Manifest ids.
beatlimittopicGet new stories since last check
Get only the stories that are new since your last call. Send the cursor from the last response. If you send no cursor, the call returns the current cursor and no stories. Returns up to 50 stories with next_cursor and has_more.
limittopiccursorSearch stories
Search recent stories by keyword. The ranking uses keyword match only. Returns up to 20 stories with headline, dek, topic, URL, Manifest ids and score.
limitquery必填topicsince_hoursRead a story
Read one story. Use format `brief` for the headline, dek and key facts. Use format `full` for the whole story as Markdown. Use format `claims` for key facts and paragraphs as JSON, each with its Manifest ids. Returns the story in that format and up to 3 related stories.
slug必填formatShow a story's sources
Show where a story gets its facts. Returns each source with its title, source name, original URL and date, and which facts and paragraphs use it. Also returns the trust label.
slug必填List topics
List the topics. Returns each topic with its title, beats, sources and story count for the last 24 hours. Also returns not_covered, a list of things this server does not cover. Call this first to get valid topic and beat ids for hc_latest, hc_search and hc_since.
无需输入参数。
About Hanging Context
Explain Hanging Context. Returns what it is, the checks on each story, the reuse rules, and how to read or receive stories.
无需输入参数。
已满足适用检查项的 100%
该评分衡量此收录条目的完整程度，依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价，也不表示服务器安全或当前可用：可连通性是带日期的检查结果，评分也不包含安装量或用户评价。
npx skills add Synorb/hanging-contextnpm install hanging-context # JavaScript, Node 18+pip install hanging-context # Python 3.9+import { ask } from "hanging-context";const answer = await ask("What did central banks say this week?");import hanging_context as hcanswer = hc.ask("What did central banks say this week?")hanging-context ask "central bank rates"hanging-context latest --topic artificial-intelligencehanging-context story 2026-10-16 robot-world-models-week --md