MCP MeasureMCP Measure

索引已觀測

Hive Consult

Agent-to-agent reasoning-as-a-service: chain-of-thought, analysis, and decision support.

我該用這個嗎

品質與安全性

A
說明品質
93%
結構描述完整度
98%
命名品質
80%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

發現項目（1）

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

根據工具定義與協定合規性的自動化分析。

上下文成本

~628Token（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 0.49%）

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": {
    "hiveconsult": {
      "url": "https://hiveconsult.onrender.com/mcp"
    }
  }
}

遠端端點

https://hiveconsult.onrender.com/mcpstreamable-http

它能做什麼

工具清單

工具（4）

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟡hiveconsult_reason(did, question, context, reasoning_depth, domain)

Submit a question or problem for structured chain-of-thought reasoning. Returns step-by-step analysis with confidence score and recommendations.

輸入結構描述

{
  "type": "object",
  "properties": {
    "did": {
      "type": "string",
      "description": "Agent DID (did:hive:...)"
    },
    "question": {
      "type": "string",
      "description": "The question or problem to reason about"
    },
    "context": {
      "type": "string",
      "description": "Optional additional context"
    },
    "reasoning_depth": {
      "type": "string",
      "enum": [
        "quick",
        "standard",
        "deep"
      ],
      "description": "Depth of reasoning. quick=$0.01, standard=$0.05, deep=$0.25"
    },
    "domain": {
      "type": "string",
      "description": "Optional domain for specialized reasoning"
    }
  },
  "required": [
    "did",
    "question"
  ]
}
🟢hiveconsult_analyze(did, data, analysis_type)

Analyze data for trends, anomalies, forecasts, or comparisons. Returns structured findings with confidence scores.

輸入結構描述

{
  "type": "object",
  "properties": {
    "did": {
      "type": "string",
      "description": "Agent DID (did:hive:...)"
    },
    "data": {
      "description": "Data to analyze (array, object, or value)"
    },
    "analysis_type": {
      "type": "string",
      "enum": [
        "trend",
        "anomaly",
        "forecast",
        "comparison"
      ],
      "description": "Type of analysis to perform"
    }
  },
  "required": [
    "did",
    "data"
  ]
}
⚪hiveconsult_decide(did, options, criteria, weights)

Decision support: rank options against weighted criteria. Returns scored and ranked options with reasoning.

輸入結構描述

{
  "type": "object",
  "properties": {
    "did": {
      "type": "string",
      "description": "Agent DID (did:hive:...)"
    },
    "options": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Options to evaluate (minimum 2)"
    },
    "criteria": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Criteria to evaluate against"
    },
    "weights": {
      "type": "array",
      "items": {
        "type": "number"
      },
      "description": "Optional weights for criteria (must match criteria length)"
    }
  },
  "required": [
    "did",
    "options",
    "criteria"
  ]
}
⚪hiveconsult_review(did, content, review_type)

Review code, contracts, documents, or strategies. Returns issues, recommendations, and risk score.

輸入結構描述

{
  "type": "object",
  "properties": {
    "did": {
      "type": "string",
      "description": "Agent DID (did:hive:...)"
    },
    "content": {
      "type": "string",
      "description": "Content to review"
    },
    "review_type": {
      "type": "string",
      "enum": [
        "code",
        "contract",
        "document",
        "strategy"
      ],
      "description": "Type of review"
    }
  },
  "required": [
    "did",
    "content"
  ]
}

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