# People Data Labs MCP for AI Agents AI Agent Connect

> People Data Labs MCP lets your AI agent access millions of B2B records to enrich person and company profiles. Use it to pull professional details from emails or social links, run complex SQL queries on massive datasets, and clean up messy CRM data instantly. It's the go-to for high-scale lead generation and market intelligence.

## Overview
- **Category:** data-analytics
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_wzY1fgS0ka0dhrlZlAoYp1KN6b1WKuoRwE9DUT9I/ai-agent-connect
- **Tags:** b2b-data, data-enrichment, identity-resolution, prospecting, market-intelligence, api-integration

## Description

Imagine you're staring at a list of messy email addresses and trying to figure out who the decision-makers are at fifty different companies. Usually, that means jumping between LinkedIn, company websites, and internal spreadsheets, copy-pasting details until your eyes glaze over. With this Connector, you just tell your agent to do the heavy lifting. You can feed it a single social link or a phone number, and it'll pull back full professional histories, company sizes, and even stock tickers. It handles the dirty work of identity resolution, too, making sure you're actually talking to the right person instead of a ghost profile. If you're managing a CRM, it can also scrub and standardize your existing location or school data so your database actually makes sense. It's a massive shortcut for anyone who needs high-quality B2B data without the manual grind. You'll find this fits right into your workflow when you're hosted on Vinkius, giving your agent the same level of data access a research team would have.

## Tools

### pdl_clean_company
Standardize raw company data to keep your CRM records consistent.

### pdl_clean_location
Clean and format raw location data into a standard structure.

### pdl_clean_school
Standardize school and education data across your records.

### pdl_autocomplete
Get suggestions for search query values to find the right data faster.

### pdl_bulk_enrich_company
Enrich up to 100 company profiles in a single request to save time.

### pdl_bulk_enrich_person
Enrich up to 100 person profiles at once for high-scale workflows.

### pdl_enrich_company
Get detailed metadata like industry and size for a specific company.

### pdl_enrich_ip
Find the location and details associated with a specific IP address.

### pdl_enrich_job_title
Find similar titles and relevant skills for a specific job role.

### pdl_enrich_person
Pull a full professional profile using social links or contact info.

### pdl_identify_person
Get a match score to identify the correct person from multiple possible profiles.

### pdl_search_company
Search the company dataset using SQL or Elasticsearch DSL queries.

### pdl_search_job_posting
Look through active and historical job postings for market research.

### pdl_search_person
Search the person dataset using SQL or Elasticsearch DSL queries.

## Prompt Examples

**Prompt:** 
```
Find me 5 marketing directors at tech companies in Austin with over 200 employees.
```

**Response:** 
```
I've executed the search and found the following marketing directors:

| Company | Name | Title | Location |
| :--- | :--- | :--- | :--- |
| **TechFlow** | Sarah Jenkins | VP Marketing | Austin, TX |
| **DataSync** | Mike Ross | Marketing Director | Austin, TX |
| **CloudScale** | Elena Rodriguez | Dir. of Growth | Austin, TX |
| **NovaSoft** | David Chen | Marketing Lead | Austin, TX |
| **ByteSize** | Amy Wong | Marketing Mgr | Austin, TX |

Would you like me to pull the full professional profiles for any of these individuals?
```

**Prompt:** 
```
I have this email: dev_team@startup.io. Can you tell me who owns this company and what they do?
```

**Response:** 
```
Based on the email provided, here is the company information:

**Company:** Startup.io
**Industry:** SaaS / Cloud Infrastructure
**Core Services:** 
* Automated deployment tools
* Real-time data syncing
* Developer API management

**Key Contact:** 
* **Founder:** Jameson Reed
* **Role:** CEO
* **Location:** San Francisco, CA

Would you like me to pull more details on Jameson's professional history?
```

**Prompt:** 
```
Clean up these 10 company names: [Google, Google Inc, Google LLC, Apple, Apple Inc, Apple Corp, MSFT, Microsoft, Microsoft Corp, Amazon].
```

**Response:** 
```
I've standardized the list for your CRM:

1. Google
2. Apple
3. Microsoft
4. Amazon

I've removed the redundant suffixes and standardized the naming convention. Let me know if you have more names to clean!
```

## Capabilities

### Enrich person profiles from social links or emails
Your agent pulls full professional history and contact details from a single URL or phone number.

### Pull company metadata like industry and size
Get specific details like employee counts, stock tickers, and industry categories for any business.

### Run SQL or Elasticsearch queries on B2B datasets
Query millions of records using standard SQL or Elasticsearch DSL directly through your chat interface.

### Match multiple profiles to a single identity
Use match scores to identify the correct person when multiple profiles exist for one name.

### Clean and standardize messy location or company data
Automatically format raw company names and locations to keep your database consistent.

### Bulk process up to 100 records at once
Process large batches of people or companies in a single request to speed up your workflow.

## Use Cases

### Building a lead list
A sales lead asks the agent to find 50 marketing directors at tech companies in Austin using pdl_search_person.

### CRM Cleanup
A data manager asks the agent to standardize 200 company names and locations using pdl_clean_company.

### Candidate Vetting
A recruiter asks the agent to pull the full work history for a list of 10 engineers using pdl_enrich_person.

### Market Research
An analyst asks the agent to find all companies in the healthcare sector with over 500 employees using pdl_search_company.

## Benefits

- Stop manual research by using pdl_enrich_person to pull full profiles from a single email or LinkedIn URL.
- Clean up your messy CRM data automatically with pdl_clean_company and pdl_clean_location to ensure consistency.
- Scale your outreach by using pdl_bulk_enrich_person to process 100 leads in one go instead of one by one.
- Get precise market insights by running SQL queries through pdl_search_company to filter by industry or size.
- Resolve identity issues quickly with pdl_identify_person to make sure you're reaching out to the right contact.

## How It Works

The bottom line is you get instant access to millions of B2B records through a simple chat interface.

1. Subscribe to the People Data Labs MCP on Vinkius.
2. Add your People Data Labs API key to your AI client settings.
3. Ask your agent to find, enrich, or clean B2B records using natural language.

## Frequently Asked Questions

**Can I use People Data Labs to find contact info for leads?**
Yes, it pulls full professional profiles using attributes like emails, phone numbers, or social media URLs.

**How does People Data Labs help with CRM data cleaning?**
It standardizes messy company names, locations, and school data into a consistent format automatically.

**Can I run SQL queries with People Data Labs?**
Yes, the Connector supports both SQL and Elasticsearch DSL queries to search the person and company datasets.

**Does People Data Labs support bulk enrichment?**
It supports bulk operations for up to 100 records in a single request, making it great for high-scale workflows.

**How does People Data Labs handle duplicate profiles?**
It uses identity resolution to provide a match score, helping you identify the correct profile from multiple possibilities.

**Can People Data Labs find job postings?**
Yes, it allows you to search through both active and historical job postings for market intelligence.

**Can I enrich a profile using only a LinkedIn URL?**
Yes! Use the `pdl_enrich_person` tool and provide the LinkedIn URL in the `profile` parameter. The agent will return the full professional profile associated with that URL.

**Is it possible to search for companies by industry and size using SQL?**
Absolutely. Use the `pdl_search_company` tool and provide a SQL query like `SELECT * FROM company WHERE industry='software' AND employee_count > 500`. This gives you direct access to the full dataset.

**How many records can I enrich at once in bulk?**
You can enrich up to 100 records per request using the `pdl_bulk_enrich_person` or `pdl_bulk_enrich_company` tools by passing a JSON array of request objects.