Talking Heads on Markets

Source-backed market views by talking head, topic, ticker, and horizon, with original links.

我该使用它吗

质量与安全性

B
描述质量
86%
模式完整度
62%
命名质量
98%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

发现(3)

  • LOWTool 'get_analyst' description lacks action verb在 get_analyst 中
  • LOWTool 'get_instrument' description lacks action verb在 get_instrument 中
  • LOWTool 'get_view' description lacks action verb在 get_view 中

基于对工具定义和协议合规性的自动分析。

上下文开销

~1,390token 数(工具定义)
~755 B典型响应大小
对注意力有中等影响(占 128k 上下文窗口的 1.09%)

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": {
    "talking-heads-on-markets": {
      "url": "https://www.headge.com/mcp"
    }
  }
}

远程端点

https://www.headge.com/mcpstreamable-http

它能做什么

工具清单

工具(9)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢get_catchup

Today's catch-up: mix by horizon, new views, flips, and divergence. Mix is a count. Headge has no house view.

输入模式

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "properties": {
    "result": {
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "x-fastmcp-wrap-result": true
}
🟢get_latest

Today's placed views (US session day, ET), newest first, split Bullish / Bearish. Neutral sits under the split. Publication day, not forecast horizon.

输入模式

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "properties": {
    "result": {
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "x-fastmcp-wrap-result": true
}
🟢get_topic(slug)

Current attributed views on one topic in the closed catalog (for example gold, inflation, xlk).

输入模式

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string"
    }
  },
  "required": [
    "slug"
  ],
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "properties": {
    "result": {
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "x-fastmcp-wrap-result": true
}
🟢get_analyst(slug)

Current attributed views and catch-up for one talking head, by slug (for example lyn-alden).

输入模式

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string"
    }
  },
  "required": [
    "slug"
  ],
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "properties": {
    "result": {
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "x-fastmcp-wrap-result": true
}
🟢get_instrument(ticker)

Attributed views that name this ticker, plus related views labelled as Headge's mapping.

输入模式

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string"
    }
  },
  "required": [
    "ticker"
  ],
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "properties": {
    "result": {
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "x-fastmcp-wrap-result": true
}
🟢get_catalog

Analysts, topics, and instruments Headge tracks. Use this to resolve names before other tools.

输入模式

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "properties": {
    "result": {
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "x-fastmcp-wrap-result": true
}
🟢search(q)

Resolve a query to analysts, topics, and instruments.

输入模式

{
  "type": "object",
  "properties": {
    "q": {
      "type": "string"
    }
  },
  "required": [
    "q"
  ],
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "properties": {
    "result": {
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "x-fastmcp-wrap-result": true
}
🟢get_view(view_id)

One attributed view by id, with source URL for citation.

输入模式

{
  "type": "object",
  "properties": {
    "view_id": {
      "type": "integer"
    }
  },
  "required": [
    "view_id"
  ],
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "properties": {
    "result": {
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "x-fastmcp-wrap-result": true
}
🟢model_scenario(asset, direction, magnitude, window, horizon, ...)

Historical analogues: after this asset moved this way over `window` months (1, 3, 6, 12), what followed over the next `horizon` months (1, 3, 6, 12) across every asset class. Observed monthly data since 1926; medians and 20th to 80th percentile bands describe the matched sample and are not forecasts or probabilities. `asset` is a series id (us, spy, ndx, gold, oil, y10, fed, vix, inflation, unemployment and more; see the Outcomes table). `magnitude` is in the asset's unit (percent, basis points for yields, points for VIX) or null for direction only. `conditions` blank keeps the snapshot's current starting conditions, "none" clears them, or "inflation:3.4,vix:15" sets targets. `cohort` "common" restricts every asset to the episodes they all share. `reference` loads a named historical window such as financial-crash, pandemic, stock-bubble or war-energy. Cite the page link in the reply.

输入模式

{
  "type": "object",
  "properties": {
    "asset": {
      "default": "us",
      "type": "string"
    },
    "direction": {
      "default": "down",
      "type": "string"
    },
    "magnitude": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "default": 20
    },
    "window": {
      "default": 3,
      "type": "integer"
    },
    "horizon": {
      "default": 6,
      "type": "integer"
    },
    "since": {
      "default": 1926,
      "type": "integer"
    },
    "count": {
      "default": 20,
      "type": "integer"
    },
    "tolerance": {
      "default": 1,
      "type": "number"
    },
    "conditions": {
      "default": "",
      "type": "string"
    },
    "cohort": {
      "default": "all",
      "type": "string"
    },
    "reference": {
      "default": "",
      "type": "string"
    }
  },
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "properties": {
    "result": {
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "x-fastmcp-wrap-result": true
}

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