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LinkedIn Lead Generation MCP
x402
LinkedIn Lead Generation MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.15/call, status unknown (last checked 2026-10-12).
Generates or processes LinkedIn lead generation data to identify and surface potential sales prospects from LinkedIn.
Price / call$0.15
Success—
StatusUnknown
How this service works
The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.
Output
A processed lead generation result containing LinkedIn prospect data such as names, job titles, companies, industries, locations, and relevant profile details matching the specified criteria, returned as structured data.
Example use cases
B2B cold outreach prospect list
“Generate a list of LinkedIn leads who are Marketing Directors or CMOs at e-commerce companies in the US with 100-1000 employees — I'm building a cold email campaign and need qualified prospects.”
Recruiting pipeline sourcing
“Find LinkedIn profiles of senior software engineers with at least 5 years of experience at fintech companies in New York or San Francisco — I need to build a recruiting outreach list.”
Account-based sales targeting
“Pull LinkedIn leads who are C-suite executives at manufacturing companies in Germany with over 500 employees — I want to target them for an enterprise software sales push.”
Technical details
Endpoint
POSThttps://api.m2mcent.com/linkedin-lead-gen-mcp/api/process?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to programmatically generate or extract LinkedIn lead data for B2B sales, marketing outreach, or recruiting workflows. It is especially useful when you need to automate prospecting at scale without manually searching LinkedIn, and when you want structured lead data returned via an API call with a simple per-call pricing model.
Side effects
- Vague or overly broad query returns too many or irrelevant results
- LinkedIn rate limiting or access restrictions cause partial or empty results
- Malformed input string causes processing failure
- Query targets a niche too small to return any leads
- Service returns an error if the data field is missing or null
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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