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Summary
Give your AI B2B people and company data from People Data Labs: enrich a person or company from an email, profile or website, identify people from loose details, search people and companies with SQL, find the company behind an IP address, and clean names, locations and job titles.
Try asking
Example prompts for People Data Labs
Click any prompt to copy it. Paste into Claude, ChatGPT, Cursor, Gemini, Copilot or OpenClaw to run it against this connector.
Claude is AI and can make mistakes. Please double-check responses.
💡 No install? Use cloud.anythingmcp.com directly. Sign in, click Connectors → People Data Labs, paste your credentials, mint an MCP API key and you're done. No Docker, no
git clone, no local server.
People Data Labs
Give your AI B2B people and company data from People Data Labs: enrich a person or company from an email, profile or website, identify people from loose details, search people and companies with SQL, find the company behind an IP address, and clean names, locations and job titles.
Setup
- Sign up at
https://dashboard.peopledatalabs.com. The Free plan needs no card. - Open API Keys in the dashboard and copy the key.
- Paste it into
PEOPLE_DATA_LABS_API_KEYand install the connector. The key is sent only to People Data Labs. - Start with a free tool such as
people_data_labs_autocompleteor one of the cleaners: they use no credits.
Personal data and GDPR: person results describe real people: names, employers, work history, locations and, depending on your plan, emails and phone numbers. Use them only for a purpose you can justify, such as B2B sales or recruiting under legitimate interest, keep only what you need, and remember that people in the EU have the right to be informed and to object. Do not look up private individuals out of curiosity, and do not combine results to profile someone beyond your stated purpose. The connector gives the AI the same rules.
Billed to your own PDL credits: lookups spend the monthly credits of your People Data Labs account (Free plan: up to 100 a month; Pro from $98 a month with 350 credits and up), counted separately for each API:
- Person and company enrichment, IP enrichment and job title enrichment: 1 credit only when a match is found. No match (404) is free.
- Person identify: 1 credit per call, also when nothing is found, whatever the number of profiles returned.
- Person and company search: 1 credit per record returned. The connector asks for 1 record by default, and the AI checks the
totalbefore it fetches more. - Company, location and school cleaners and autocomplete: free (cleaners up to 10,000 calls a month, autocomplete 1,000 a day on self-serve plans).
The AI asks you before a search with a large size or a long series of lookups.
What it does: enrich one person from an email, a phone number with country code, a LinkedIn URL, or a name plus company, school or location, and only pay for matches that have what you need (for example an email); identify up to 20 candidates from loose details; search people and companies with SQL (SELECT * FROM person WHERE ...) or an Elasticsearch query; enrich a company from its website, name, profile or ticker; find the company behind an IP address, such as a website visitor; and get similar titles and skills for a job title. Values in PDL are lower case, so the AI uses autocomplete and the cleaners to find the exact titles, companies and locations before a search.
Rate limits (defaults): enrichment 100 a minute on Free and 1,000 on paid plans (company enrichment 10 a minute on Free); identify, searches and cleaners 10 a minute.
Common errors: 404 means no match: not a faulty request and, except for identify, not charged. 401: the key is wrong, revoked or missing. 402: the credits of this API are used up for the month; upgrade or wait for the reset. 400: too few inputs (for example a name without company or location), a malformed SQL or Elasticsearch query, or an IP address that belongs to a hosting provider or proxy. 429: too many calls a minute; wait and try again.
The connector does not do bulk enrichment, the person changelog, job posting search, skill enrichment, the preview APIs or the sandbox.
Prerequisites: PEOPLE_DATA_LABS_API_KEY
Install the connector locally
curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d
Open http://localhost:3000/connectors/store, pick People Data Labs and paste in the env vars listed under Prerequisites.
Available tools
| Tool | What it does |
|---|---|
people_data_labs_enrich_person | Find one person in People Data Labs from what you know about them and get their profile: name, current job title and company, work history… |
people_data_labs_identify_person | Find up to 20 people who could match loose information (for example only a name and a city), ranked by match score, when… |
people_data_labs_search_people | Search the People Data Labs person dataset with SQL or an Elasticsearch query, e.g. everyone with a given job title at a company or in a… |
people_data_labs_enrich_company | Find one company in People Data Labs and get its profile: name, website, industry, size and employee count, founding year, headquarters and… |
people_data_labs_search_companies | Search the People Data Labs company dataset with SQL or an Elasticsearch query, e.g. software companies in Germany with 51 to 200 employees |
people_data_labs_clean_company | Normalize a messy company name, website or profile URL to PDL's canonical company: name, website, linkedin_url, size, industry, location… |
people_data_labs_clean_location | Normalize free-text location to PDL's canonical form: name, locality, region, country, continent and geo coordinates, as used by the… |
people_data_labs_clean_school | Normalize a school or university name, website or profile URL to PDL's canonical school: name, type, website, location, profiles and the… |
people_data_labs_autocomplete | Suggest the exact values PDL uses for a field, from a few letters, with how many person records carry each: companies, schools, titles… |
people_data_labs_enrich_job_title | Clean a job title and get up to five similar titles and the most relevant skills for it, from PDL's resume data, e.g. for widening a people… |
people_data_labs_enrich_ip | Find the company behind an IP address (for example a website visitor) and optionally its location and network metadata (mobile, hosting… |
Example prompts
- "Look up the company behind northwind-logistics.com: industry, employee count, headquarters and founding year."
- "How many heads of procurement work at logistics companies in Germany with 51 to 200 employees? Tell me the total first, then show me 5."
- "Which company is behind the IP address 203.0.113.42 that visited our pricing page today?"
- "A lead booked a demo with [email protected]. What is her current job title and company?"
Next steps
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