B2B Lead Enrichment
Remote MCP server to enrich company profiles with structured B2B data and confidence scores.
使うべきか
品質と安全性
A
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
~502トークン数(ツール定義)
~5.6 KB一般的なレスポンスサイズ
注意への影響は最小限(128k コンテキストの 0.39%)
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": {
"lead-enrichment-mcp": {
"url": "https://lead-enrichment-mcp.agent-infra.workers.dev/mcp"
}
}
}リモートエンドポイント
https://lead-enrichment-mcp.agent-infra.workers.dev/mcpstreamable-httpできること
ツール一覧
ツール(1)
🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟢enrich_lead(domain, attributes, requiredFields)
Enrich a B2B company profile with structured firmographic, technographic, intent, and contact data. This tool should be called when an AI agent needs to gather detailed information about a company before crafting a personalized outreach, generating a lead score, or making a sales recommendation.
入力スキーマ
{
"type": "object",
"properties": {
"domain": {
"type": "string",
"title": "Domain",
"description": "The company domain to enrich (e.g., \"stripe.com\")."
},
"attributes": {
"type": "array",
"items": {
"type": "string"
},
"title": "Attributes",
"description": "Which data attributes to include. Allowed values: firmographic, technographic, intent, contacts."
},
"requiredFields": {
"type": "array",
"items": {
"type": "string"
},
"title": "Required Fields",
"description": "Specific fields that must be present in the response."
}
},
"required": [
"domain"
]
}出力スキーマ
{
"type": "object",
"properties": {
"companyName": {
"type": "string",
"description": "Official legal name of the enriched company."
},
"industry": {
"type": "string",
"description": "Primary industry classification."
},
"employeeCount": {
"type": "string",
"description": "Estimated employee count range (e.g., \"5000+\")."
},
"revenue": {
"type": "string",
"description": "Estimated annual revenue range (e.g., \"$1B+\")."
},
"technologies": {
"type": "array",
"items": {
"type": "string"
},
"description": "Technology stack associated with the company."
},
"intentSignals": {
"type": "array",
"items": {
"type": "string"
},
"description": "Signals showing buying intent or strategic initiatives."
},
"contacts": {
"type": "array",
"description": "Key contacts identified at the company.",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"title": {
"type": "string"
},
"department": {
"type": "string"
},
"linkedin": {
"type": "string"
}
},
"required": [
"name",
"title",
"department"
]
}
},
"confidenceScore": {
"type": "number",
"minimum": 0,
"maximum": 1,
"description": "Confidence score from 0 to 1."
},
"enrichedAt": {
"type": "string",
"format": "date-time",
"description": "ISO 8601 timestamp when this enrichment was performed."
},
"insights": {
"type": "array",
"items": {
"type": "string"
},
"description": "Actionable semantic insights derived from the data."
}
},
"required": [
"companyName",
"industry",
"employeeCount",
"revenue",
"technologies",
"intentSignals",
"confidenceScore",
"enrichedAt",
"insights"
]
}コミュニティ
エビデンス
最近の観測
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