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索引已觀測

MDataAccess

Paid business, people, company, lead, and web intelligence for autonomous AI agents.

我該用這個嗎

品質與安全性

A
說明品質
87%
結構描述完整度
77%
命名品質
94%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

發現項目（3）

  • LOWTool 'enrich_company' description lacks action verb在 enrich_company 中
  • LOWTool 'enrich_person' description lacks action verb在 enrich_person 中
  • LOWTool 'find_decision_maker' description lacks action verb在 find_decision_maker 中

根據工具定義與協定合規性的自動化分析。

上下文成本

~654Token（工具定義）
~807 B典型回應大小
中等的注意力影響（128k 上下文的 0.51%）

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": {
    "mdataaccess": {
      "url": "https://api.mdataaccess.com/mcp/"
    }
  }
}

遠端端點

https://api.mdataaccess.com/mcp/streamable-http

它能做什麼

工具清單

工具（7）

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢read_webpage(url)

Prepare a paid request to read clean text from a known public webpage URL.

輸入結構描述

{
  "type": "object",
  "properties": {
    "url": {
      "title": "Url",
      "type": "string"
    }
  },
  "required": [
    "url"
  ],
  "title": "read_webpageArguments"
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": {
    "type": "string"
  },
  "title": "read_webpageDictOutput"
}
⚪enrich_company(name, website)

Prepare a paid company enrichment request when a company name or domain is known.

輸入結構描述

{
  "type": "object",
  "properties": {
    "name": {
      "default": "",
      "title": "Name",
      "type": "string"
    },
    "website": {
      "default": "",
      "title": "Website",
      "type": "string"
    }
  },
  "title": "enrich_companyArguments"
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": {
    "type": "string"
  },
  "title": "enrich_companyDictOutput"
}
⚪enrich_person(email, linkedin_url, name, company)

Prepare a paid person enrichment request when an email, LinkedIn URL, or name is known.

輸入結構描述

{
  "type": "object",
  "properties": {
    "email": {
      "default": "",
      "title": "Email",
      "type": "string"
    },
    "linkedin_url": {
      "default": "",
      "title": "Linkedin Url",
      "type": "string"
    },
    "name": {
      "default": "",
      "title": "Name",
      "type": "string"
    },
    "company": {
      "default": "",
      "title": "Company",
      "type": "string"
    }
  },
  "title": "enrich_personArguments"
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": {
    "type": "string"
  },
  "title": "enrich_personDictOutput"
}
🟢search_people(sql)

Prepare a paid PDL SQL person-search request. Exactly one profile is returned by the API.

輸入結構描述

{
  "type": "object",
  "properties": {
    "sql": {
      "title": "Sql",
      "type": "string"
    }
  },
  "required": [
    "sql"
  ],
  "title": "search_peopleArguments"
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": {
    "type": "string"
  },
  "title": "search_peopleDictOutput"
}
🟢search_companies(sql)

Prepare a paid PDL SQL company-search request. Exactly one company is returned by the API.

輸入結構描述

{
  "type": "object",
  "properties": {
    "sql": {
      "title": "Sql",
      "type": "string"
    }
  },
  "required": [
    "sql"
  ],
  "title": "search_companiesArguments"
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": {
    "type": "string"
  },
  "title": "search_companiesDictOutput"
}
🟢find_decision_maker(company, function)

Prepare a paid request for one senior decision-maker at a known company and function.

輸入結構描述

{
  "type": "object",
  "properties": {
    "company": {
      "title": "Company",
      "type": "string"
    },
    "function": {
      "title": "Function",
      "type": "string"
    }
  },
  "required": [
    "company",
    "function"
  ],
  "title": "find_decision_makerArguments"
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": {
    "type": "string"
  },
  "title": "find_decision_makerDictOutput"
}
🟢find_lead(company, function)

Prepare a paid request for one compact sales-ready lead at a known company and function.

輸入結構描述

{
  "type": "object",
  "properties": {
    "company": {
      "title": "Company",
      "type": "string"
    },
    "function": {
      "title": "Function",
      "type": "string"
    }
  },
  "required": [
    "company",
    "function"
  ],
  "title": "find_leadArguments"
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": {
    "type": "string"
  },
  "title": "find_leadDictOutput"
}

建議的提示詞

search_research
Search for information about [topic] using MDataAccess
預期的工具： search_people
find_specific
Find [specific item] using MDataAccess
預期的工具： search_people
retrieve_data
Get details about [item] from MDataAccess
預期的工具： read_webpage
fetch_info
Fetch [information type] using MDataAccess
預期的工具： read_webpage
research_workflow
Search for [topic], then get detailed information about the top results using MDataAccess
預期的工具： search_peopleread_webpage

社群

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證據

近期觀測

已驗證未記錄版本7 個工具
已驗證未記錄版本7 個工具