Agent Newsstand

Market data and web intelligence for AI agents, paid per call in USDC on Base via x402.

我该使用它吗

质量与安全性

B
描述质量
87%
模式完整度
73%
命名质量
84%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

发现(3)

  • LOWTool 'candles' description lacks action verb在 candles 中
  • LOWTool 'read' description lacks action verb在 read 中
  • LOWTool 'screenshot' description lacks action verb在 screenshot 中

基于对工具定义和协议合规性的自动分析。

上下文开销

~1,087token 数(工具定义)
~533 B典型响应大小
对注意力有中等影响(占 128k 上下文窗口的 0.85%)

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中:

{
  "mcpServers": {
    "agent-newsstand": {
      "url": "https://api.agentnewsstand.com/mcp"
    }
  }
}

远程端点

https://api.agentnewsstand.com/mcpstreamable-http

它能做什么

工具清单

工具(16)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢search(q, engine, country, limit, cursor)

Token-efficient search results (google/bing/yandex)

输入模式

{
  "type": "object",
  "properties": {
    "q": {
      "title": "Q",
      "type": "string"
    },
    "engine": {
      "default": "google",
      "title": "Engine",
      "type": "string"
    },
    "country": {
      "default": null,
      "title": "Country",
      "type": "string"
    },
    "limit": {
      "default": 10,
      "title": "Limit",
      "type": "integer"
    },
    "cursor": {
      "default": null,
      "title": "Cursor",
      "type": "string"
    }
  },
  "required": [
    "q"
  ],
  "title": "searchArguments"
}
⚪candles(symbol, days)

Daily OHLCV candles for a venue symbol

输入模式

{
  "type": "object",
  "properties": {
    "symbol": {
      "title": "Symbol",
      "type": "string"
    },
    "days": {
      "default": 30,
      "title": "Days",
      "type": "integer"
    }
  },
  "required": [
    "symbol"
  ],
  "title": "candlesArguments"
}
⚪universe

Tradeable asset universe (Hyperliquid xyz DEX)

输入模式

{
  "type": "object",
  "properties": {},
  "title": "universeArguments"
}
🟡history(symbol, days)

Daily closes + range change for a symbol

输入模式

{
  "type": "object",
  "properties": {
    "symbol": {
      "title": "Symbol",
      "type": "string"
    },
    "days": {
      "default": 30,
      "title": "Days",
      "type": "integer"
    }
  },
  "required": [
    "symbol"
  ],
  "title": "historyArguments"
}
⚪context(symbol, days)

Full trading context for a tokenized asset

输入模式

{
  "type": "object",
  "properties": {
    "symbol": {
      "title": "Symbol",
      "type": "string"
    },
    "days": {
      "default": 30,
      "title": "Days",
      "type": "integer"
    }
  },
  "required": [
    "symbol"
  ],
  "title": "contextArguments"
}
⚪earnings(symbol, days)

Next earnings date for a symbol, or a rolling calendar window

输入模式

{
  "type": "object",
  "properties": {
    "symbol": {
      "default": null,
      "title": "Symbol",
      "type": "string"
    },
    "days": {
      "default": 7,
      "title": "Days",
      "type": "integer"
    }
  },
  "title": "earningsArguments"
}
⚪filings(symbol, n)

Latest SEC filings for an equity symbol

输入模式

{
  "type": "object",
  "properties": {
    "symbol": {
      "title": "Symbol",
      "type": "string"
    },
    "n": {
      "default": 5,
      "title": "N",
      "type": "integer"
    }
  },
  "required": [
    "symbol"
  ],
  "title": "filingsArguments"
}
⚪macro

Latest US macro indicators (CPI/NFP/U3/oil) with release flags

输入模式

{
  "type": "object",
  "properties": {},
  "title": "macroArguments"
}
⚪calendar(limit)

Upcoming US economic release dates (FRED calendar, live-fetch)

输入模式

{
  "type": "object",
  "properties": {
    "limit": {
      "default": 25,
      "title": "Limit",
      "type": "integer"
    }
  },
  "title": "calendarArguments"
}
🟢read(url)

Any public URL as clean Markdown

输入模式

{
  "type": "object",
  "properties": {
    "url": {
      "title": "Url",
      "type": "string"
    }
  },
  "required": [
    "url"
  ],
  "title": "readArguments"
}
⚪unlock(url, max_chars)

Any public URL as raw HTML (captcha/bot-wall handled)

输入模式

{
  "type": "object",
  "properties": {
    "url": {
      "title": "Url",
      "type": "string"
    },
    "max_chars": {
      "default": 50000,
      "title": "Max Chars",
      "type": "integer"
    }
  },
  "required": [
    "url"
  ],
  "title": "unlockArguments"
}
⚪screenshot(url)

Screenshot of any public URL (viewport PNG)

输入模式

{
  "type": "object",
  "properties": {
    "url": {
      "title": "Url",
      "type": "string"
    }
  },
  "required": [
    "url"
  ],
  "title": "screenshotArguments"
}
🟢url_safety(url)

URL reputation check (malware + phishing)

输入模式

{
  "type": "object",
  "properties": {
    "url": {
      "title": "Url",
      "type": "string"
    }
  },
  "required": [
    "url"
  ],
  "title": "url_safetyArguments"
}
🟢local(q, country, limit)

Location-targeted search with place-link extraction

输入模式

{
  "type": "object",
  "properties": {
    "q": {
      "title": "Q",
      "type": "string"
    },
    "country": {
      "default": null,
      "title": "Country",
      "type": "string"
    },
    "limit": {
      "default": 10,
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "q"
  ],
  "title": "localArguments"
}
🟢place(q, country, max_chars)

Compound: local search + business website content

输入模式

{
  "type": "object",
  "properties": {
    "q": {
      "title": "Q",
      "type": "string"
    },
    "country": {
      "default": null,
      "title": "Country",
      "type": "string"
    },
    "max_chars": {
      "default": 20000,
      "title": "Max Chars",
      "type": "integer"
    }
  },
  "required": [
    "q"
  ],
  "title": "placeArguments"
}
🟢feedback(wanted, category, context, contact)

FREE feedback: tell us what you needed but didn't get (missing endpoint, wrong output shape, price objection, bug). No payment.

输入模式

{
  "type": "object",
  "properties": {
    "wanted": {
      "title": "Wanted",
      "type": "string"
    },
    "category": {
      "default": "other",
      "title": "Category",
      "type": "string"
    },
    "context": {
      "default": "",
      "title": "Context",
      "type": "string"
    },
    "contact": {
      "default": "",
      "title": "Contact",
      "type": "string"
    }
  },
  "required": [
    "wanted"
  ],
  "title": "_feedbackArguments"
}

输出模式

{
  "type": "object",
  "additionalProperties": true,
  "title": "_feedbackDictOutput"
}

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已验证未记录版本16 个工具
已验证未记录版本16 个工具