Enrich Lead
- 258 installs
- 18 repo stars
- Updated July 20, 2026
- apolloio/apollo-mcp-plugin
This is a copy of enrich-lead by anthropics - installs and ranking accrue to the original listing.
apollo-enrich-lead is a Claude skill that turns a name, company, LinkedIn URL, or email into a full Apollo contact card with email, phone, title, and company intel.
About
This skill turns a single identifier (a name, company, LinkedIn URL, or email) into a full Apollo contact card. A developer or rep uses it to get a person's email, phone, title, and company intel in one step through the Apollo MCP. It enriches both the person and their company, warns about the credit cost, and offers next actions like saving to Apollo or adding to a sequence.
- Turns a name, company, LinkedIn URL, or email into a full contact card via the Apollo MCP
- Enriches both the person and their company, then presents a structured dossier
- Warns that enrichment consumes 1 Apollo credit before calling
Enrich Lead by the numbers
- 258 all-time installs (skills.sh)
- Data as of Jul 28, 2026 (Skillselion catalog sync)
enrich-lead capabilities & compatibility
Requires an Apollo.io account; each enrichment consumes 1 Apollo credit.
- Capabilities
- lead enrichment · prospecting
- Use cases
- email · marketing · research
- Runs
- Local or remote
- Pricing
- Bring your own API key
What enrich-lead says it does
Turn any identifier into a full contact dossier.
**Credit warning**: Tell the user enrichment consumes 1 Apollo credit before calling.
npx skills add https://github.com/apolloio/apollo-mcp-plugin --skill enrich-leadAdd your badge
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| Installs | 258 |
|---|---|
| repo stars | ★ 18 |
| Last updated | July 20, 2026 |
| Repository | apolloio/apollo-mcp-plugin ↗ |
What it does
Enrich any identifier into a full Apollo contact card with email, phone, and company intel.
Who is it for?
Turning a single identifier into a full contact and company dossier.
Skip if: Bulk prospecting from an ICP description (use the prospect skill).
When should I use this skill?
The user drops a name, company, LinkedIn URL, or email and wants a full contact card.
What you get
A formatted contact card with email, phone, location, LinkedIn, and company firmographics.
- A formatted contact card with person and company details
By the numbers
- 1 Apollo credit per enrichment
- 5-step flow
Files
Enrich Lead
Turn any identifier into a full contact dossier. The user provides identifying info via "$ARGUMENTS".
Examples
/apollo:enrich-lead Tim Zheng at Apollo/apollo:enrich-lead https://www.linkedin.com/in/timzheng/apollo:enrich-lead sarah@stripe.com/apollo:enrich-lead Jane Smith, VP Engineering, Notion/apollo:enrich-lead CEO of Figma
Step 1 — Parse Input
From "$ARGUMENTS", extract every identifier available:
- First name, last name
- Company name or domain
- LinkedIn URL
- Email address
- Job title (use as a matching hint)
If the input is ambiguous (e.g. just "CEO of Figma"), first use mcp__claude_ai_Apollo_MCP__apollo_mixed_people_api_search with relevant title and domain filters to identify the person, then proceed to enrichment.
Step 2 — Enrich the Person
Credit warning: Tell the user enrichment consumes 1 Apollo credit before calling.
Use mcp__claude_ai_Apollo_MCP__apollo_people_match with all available identifiers:
first_name,last_nameif name is knowndomainororganization_nameif company is knownlinkedin_urlif LinkedIn is providedemailif email is provided- Set
reveal_personal_emailstotrue
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
| Field | Detail |
|---|---|
| Email (work) | ... |
| Email (personal) | ... (if revealed) |
| Phone (direct) | ... |
| Phone (mobile) | ... |
| Phone (corporate) | ... |
| Location | City, State, Country |
| URL | |
| Company Domain | ... |
| Company Revenue | Range |
| Company Funding | Total raised |
| Company HQ | Location |
---
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
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How many credits does enrichment cost?
The skill warns that enrichment consumes 1 Apollo credit before calling apollo_people_match.
What if the input is just a title like CEO of Figma?
It first searches with apollo_mixed_people_api_search using title and domain filters to identify the person, then enriches.