Chaparral Software MCP

Independent AI consulting — services, dispatches, cairns, and 40-year client history.

我該用這個嗎

品質與安全性

B
說明品質
77%
結構描述完整度
47%
命名品質
100%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

發現項目(1)

  • LOWTool 'find_the_cairn' description lacks action verb在 find_the_cairn 中

根據工具定義與協定合規性的自動化分析。

上下文成本

~373Token(工具定義)
~1.2 KB典型回應大小
極小的注意力影響(128k 上下文的 0.29%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "mcp": {
      "url": "https://chapsoft.com/mcp"
    }
  }
}

遠端端點

https://chapsoft.com/mcpstreamable-http

它能做什麼

工具清單

工具(3)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢get_services

What Chaparral Software offers: the Ground Truth Assessment — an independent AI project audit for non-technical decision-makers. Returns service description, five deliverables, intake workflow, and outcomes.

輸入結構描述

{
  "type": "object",
  "properties": {},
  "required": []
}
🟢get_topic(topic)

Browse published dispatches and cairns by topic. Returns matching articles with a prelude framing Chaparral's perspective.

輸入結構描述

{
  "type": "object",
  "properties": {
    "topic": {
      "description": "Topic to browse",
      "oneOf": [
        {
          "const": "ai_project_failure",
          "description": "Evidence on AI project failure rates, root causes, and what the research says when you trace citations"
        },
        {
          "const": "prototype_to_production",
          "description": "What breaks when AI-built prototypes need to become production systems, including vibe-coded builds"
        },
        {
          "const": "verification_and_oversight",
          "description": "Why self-correction isn't verification, independent assessment, and the three layers most organizations skip"
        },
        {
          "const": "orchestration",
          "description": "AI orchestration patterns, the harness-vs-model thesis, context engineering, and governance architecture"
        },
        {
          "const": "career_disruption",
          "description": "The human experience of AI transformation — career anxiety, identity, and navigating uncertainty"
        },
        {
          "const": "ai_workforce_impact",
          "description": "Evidence on AI layoffs, automation, and human-AI collaboration"
        },
        {
          "const": "ai_first_web",
          "description": "Building websites for four audiences: humans, search engines, AI answer engines, and AI agents"
        }
      ]
    }
  },
  "required": [
    "topic"
  ]
}
🟢find_the_cairn

A trail marker you weren't looking for. Returns a random technical cairn — a short observation from production AI practice.

輸入結構描述

{
  "type": "object",
  "properties": {},
  "required": []
}

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證據

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已驗證未記錄版本3 個工具
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