Use mcp__claude_ai_Apollo_MCP__apollo_people_match with all available identifiers:

• first_name, last_name if name is known
• domain or organization_name if company is known
• linkedin_url if LinkedIn is provided
• email if email is provided
• Set reveal_personal_emails to true

If the match fails, try mcp__claude_ai_Apollo_MCP__apollo_mixed_people_api_search with looser filters and present the top 3 candidates. Ask the user to pick one, then re-enrich.

Step 3 — Enrich Their Company

Use mcp__claude_ai_Apollo_MCP__apollo_organizations_enrich with the person's company domain to pull firmographic context.

Step 4 — Present the Contact Card

Format the output exactly like this:

[Full Name] | [Title] [Company Name] · [Industry] · [Employee Count] employees

Step 5 — Offer Next Actions

Ask the user which action to take:

1. Save to Apollo — Create this person as a contact via mcp__claude_ai_Apollo_MCP__apollo_contacts_create with run_dedupe: true
2. Add to a sequence — Ask which sequence, then run the sequence-load flow
3. Find colleagues — Search for more people at the same company using mcp__claude_ai_Apollo_MCP__apollo_mixed_people_api_search with q_organization_domains_list set to this company
4. Find similar people — Search for people with the same title/seniority at other companies

customer-research

围绕客户问题进行多来源调研与溯源，快速整理背景并支持准确回复。

prospect

用自然语言定义理想客户，自动生成带联系方式的决策人线索名单。