MCP server
People Data Labs MCP by usefulapi
io.usefulapi/peopledatalabs
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Enrich and search people and companies, resolve identities, and enrich IP addresses.
Working at last checkVerified publisher: usefulapi.ioAbout 3,117 tokens per request once connected8 tools
https://peopledatalabs.usefulapi.io/mcp
At a glance
- Type
- MCP server
- Publisher
- usefulapi.io (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 8
- Token cost
- About 3,117 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http peopledatalabs https://peopledatalabs.usefulapi.io/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.peopledatalabs] url = "https://peopledatalabs.usefulapi.io/mcp"
Gemini CLI
{"mcpServers":{"peopledatalabs":{"httpUrl":"https://peopledatalabs.usefulapi.io/mcp"}}}
Cursor
{"mcpServers":{"peopledatalabs":{"url":"https://peopledatalabs.usefulapi.io/mcp"}}}
VS Code
{"servers":{"peopledatalabs":{"type":"http","url":"https://peopledatalabs.usefulapi.io/mcp"}}}
Antigravity
agy mcp add peopledatalabs https://peopledatalabs.usefulapi.io/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"peopledatalabs","server_url":"https://peopledatalabs.usefulapi.io/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"peopledatalabs","server_url":"https://peopledatalabs.usefulapi.io/mcp"}
Tools
pdl_autocomplete~250 tokens
Get suggested values for a search field along with the number of available records for each — useful for building valid Person/Company Search queries. Free on all plans. API: GET /autocomplete.pdl_company_enrich~370 tokens
Find the single best-matching company record. Requires a non-ambiguous input — name OR website OR ticker OR profile (website/ticker/profile resolve more reliably than name). Returns firmographics (industry, size, location, etc.) or a 404 'no match' body. API: GET /company/enrich.pdl_company_search~338 tokens
Search the full PDL Company Dataset with an Elasticsearch query object OR a SQL string over the Company Schema (e.g. all SaaS companies with 50-200 employees in the US). Paginate with scroll_token. Each returned record costs 1 credit. API: POST /company/search.pdl_ip_enrich~232 tokens
Enrich an IP address with its location, company, and (optionally) associated person data via a 1:1 match against PDL's IP dataset. API: GET /ip/enrich.pdl_job_posting_search~282 tokens
Search PDL's Job Posting Dataset (millions of active & historical postings sourced from company career pages) with an Elasticsearch query object OR a SQL string. Beta — may require plan access (HTTP 403 if not enabled). Each returned posting costs 1 credit. API: POST /job_posting/search.pdl_person_enrich~658 tokens
Find the single best-matching person profile for a set of identifying attributes (name, email, phone, profile URL, company, etc.). Returns one record plus a likelihood score (1-10), or a 404 'no match' body. Use uniquely-identifying inputs for best results. API: GET /person/enrich.pdl_person_identify~576 tokens
Given broad, possibly-ambiguous attributes about a person, return up to 20 strongly-related profiles ranked by match score. Sits between enrich (1:1) and search (open-ended) — ideal when you can't uniquely resolve someone. API: GET /person/identify.pdl_person_search~411 tokens
Search the full PDL Person Dataset with an Elasticsearch query object OR a SQL string over the Person Schema (e.g. everyone with job_title_role='engineering' at a company). Returns matching profiles sorted by completeness; paginate with scroll_token. Each returned record costs 1 credit. API: POST /p
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