MDataAccess
Paid business, people, company, lead, and web intelligence for autonomous AI agents.
使うべきか
品質と安全性
A
検出事項（3）
- LOWTool 'enrich_company' description lacks action verbenrich_company 内
- LOWTool 'enrich_person' description lacks action verbenrich_person 内
- LOWTool 'find_decision_maker' description lacks action verbfind_decision_maker 内
ツール定義とプロトコルへの準拠に関する自動分析に基づいています。
コンテキストコスト
~654トークン数（ツール定義）
~807 B一般的なレスポンスサイズ
注意への影響は中程度（128k コンテキストの 0.51%）
これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。
インストール
ワンクリックインストール
これを `claude_desktop_config.json` ファイルに追加してください:
{
"mcpServers": {
"mdataaccess": {
"url": "https://api.mdataaccess.com/mcp/"
}
}
}リモートエンドポイント
https://api.mdataaccess.com/mcp/streamable-httpできること
ツール一覧
ツール（7）
🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟢read_webpage(url)
Prepare a paid request to read clean text from a known public webpage URL.
入力スキーマ
{
"type": "object",
"properties": {
"url": {
"title": "Url",
"type": "string"
}
},
"required": [
"url"
],
"title": "read_webpageArguments"
}出力スキーマ
{
"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.
入力スキーマ
{
"type": "object",
"properties": {
"name": {
"default": "",
"title": "Name",
"type": "string"
},
"website": {
"default": "",
"title": "Website",
"type": "string"
}
},
"title": "enrich_companyArguments"
}出力スキーマ
{
"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.
入力スキーマ
{
"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"
}出力スキーマ
{
"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.
入力スキーマ
{
"type": "object",
"properties": {
"sql": {
"title": "Sql",
"type": "string"
}
},
"required": [
"sql"
],
"title": "search_peopleArguments"
}出力スキーマ
{
"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.
入力スキーマ
{
"type": "object",
"properties": {
"sql": {
"title": "Sql",
"type": "string"
}
},
"required": [
"sql"
],
"title": "search_companiesArguments"
}出力スキーマ
{
"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.
入力スキーマ
{
"type": "object",
"properties": {
"company": {
"title": "Company",
"type": "string"
},
"function": {
"title": "Function",
"type": "string"
}
},
"required": [
"company",
"function"
],
"title": "find_decision_makerArguments"
}出力スキーマ
{
"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.
入力スキーマ
{
"type": "object",
"properties": {
"company": {
"title": "Company",
"type": "string"
},
"function": {
"title": "Function",
"type": "string"
}
},
"required": [
"company",
"function"
],
"title": "find_leadArguments"
}出力スキーマ
{
"type": "object",
"additionalProperties": {
"type": "string"
},
"title": "find_leadDictOutput"
}推奨プロンプト
search_research
Search for information about [topic] using MDataAccess
想定されるツール:
search_peoplefind_specific
Find [specific item] using MDataAccess
想定されるツール:
search_peopleretrieve_data
Get details about [item] from MDataAccess
想定されるツール:
read_webpagefetch_info
Fetch [information type] using MDataAccess
想定されるツール:
read_webpageresearch_workflow
Search for [topic], then get detailed information about the top results using MDataAccess
想定されるツール:
search_peopleread_webpageコミュニティ
エビデンス
最近の観測
検証済みバージョンは記録されていませんツール 7 件
検証済みバージョンは記録されていませんツール 7 件