Bring B2b Data
to CrewAI
Learn how to connect People Data Labs to CrewAI and start using 14 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the People Data Labs MCP Server?
Connect People Data Labs to your AI agent to access one of the most comprehensive B2B datasets available. Enrich profiles, identify prospects, and search through millions of person and company records using natural language.
What you can do
- Person Enrichment — Retrieve full professional profiles using just an email, phone number, or social media URL (LinkedIn, Twitter, etc.).
- Company Intelligence — Get detailed company metadata, including industry, size, location, and stock tickers.
- Advanced Search — Query the entire Person or Company dataset using SQL or Elasticsearch DSL directly from your conversation.
- Identity Resolution — Identify multiple potential profiles associated with a set of attributes to find the best match.
- Bulk Operations — Enrich up to 100 person or company records in a single request for high-scale workflows.
How it works
- Subscribe to this server
- Enter your People Data Labs API Key
- Start enriching your CRM data or building lead lists from Claude, Cursor, or any MCP client
Who is this for?
- Sales & Marketing Teams — Instantly enrich inbound leads or build targeted outbound lists without manual research.
- Recruiters — Find detailed candidate histories and contact information directly from your workflow.
- Data Engineers — Perform complex dataset queries and cleaning operations using SQL through an AI interface.
Built-in capabilities (14)
Get autocomplete suggestions for Search API query values
Bulk enrich up to 100 companies
Bulk enrich up to 100 persons
Clean and standardize raw company data
Clean and standardize raw location data
Clean and standardize raw school data
Enrich a company profile
Enrich an IP address
Enrich a job title to find similar titles and relevant skills
Enrich a person profile using attributes
Returns match_score. Identify multiple possible person profiles
Provide either an Elasticsearch DSL query or a SQL query. Search the Company Dataset using Elasticsearch DSL or SQL
Search active and historical job postings
Provide either an Elasticsearch DSL query or a SQL query. Search the Person Dataset using Elasticsearch DSL or SQL
Why CrewAI?
When paired with CrewAI, People Data Labs becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call People Data Labs tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
People Data Labs in CrewAI
People Data Labs and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect People Data Labs to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for People Data Labs in CrewAI
The People Data Labs MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 14 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
People Data Labs for CrewAI
Every tool call from CrewAI to the People Data Labs MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
How does CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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