People Data Labs MCP Server for CrewAIGive CrewAI instant access to 14 tools to Pdl Autocomplete, Pdl Bulk Enrich Company, Pdl Bulk Enrich Person, and more
GDPR Free for SubscribersConnect your CrewAI agents to People Data Labs through Vinkius, pass the Edge URL in the `mcps` parameter and every People Data Labs tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
Ask AI about this MCP Server for CrewAI
The People Data Labs MCP Server for CrewAI is a standout in the Data Analytics category — giving your AI agent 14 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminifrom crewai import Agent, Task, Crew
agent = Agent(
role="People Data Labs Specialist",
goal="Help users interact with People Data Labs effectively",
backstory=(
"You are an expert at leveraging People Data Labs tools "
"for automation and data analysis."
),
# Your Vinkius token. get it at cloud.vinkius.com
mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)
task = Task(
description=(
"Explore all available tools in People Data Labs "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 14 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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
About 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.
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.
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.
The People Data Labs MCP Server exposes 14 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 14 People Data Labs tools available for CrewAI
When CrewAI connects to People Data Labs through Vinkius, your AI agent gets direct access to every tool listed below — spanning b2b-data, data-enrichment, identity-resolution, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Pdl autocomplete on People Data Labs
Get autocomplete suggestions for Search API query values
Pdl bulk enrich company on People Data Labs
Bulk enrich up to 100 companies
Pdl bulk enrich person on People Data Labs
Bulk enrich up to 100 persons
Pdl clean company on People Data Labs
Clean and standardize raw company data
Pdl clean location on People Data Labs
Clean and standardize raw location data
Pdl clean school on People Data Labs
Clean and standardize raw school data
Pdl enrich company on People Data Labs
Enrich a company profile
Pdl enrich ip on People Data Labs
Enrich an IP address
Pdl enrich job title on People Data Labs
Enrich a job title to find similar titles and relevant skills
Pdl enrich person on People Data Labs
Enrich a person profile using attributes
Pdl identify person on People Data Labs
Returns match_score. Identify multiple possible person profiles
Pdl search company on People Data Labs
Provide either an Elasticsearch DSL query or a SQL query. Search the Company Dataset using Elasticsearch DSL or SQL
Pdl search job posting on People Data Labs
Search active and historical job postings
Pdl search person on People Data Labs
Provide either an Elasticsearch DSL query or a SQL query. Search the Person Dataset using Elasticsearch DSL or SQL
Connect People Data Labs to CrewAI via MCP
Follow these steps to wire People Data Labs into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install CrewAI
pip install crewaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comCustomize the agent
role, goal, and backstory to fit your use caseRun the crew
python crew.py. CrewAI auto-discovers 14 tools from People Data LabsWhy Use CrewAI with the People Data Labs MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with People Data Labs through the Model Context Protocol.
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
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter 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 + CrewAI Use Cases
Practical scenarios where CrewAI combined with the People Data Labs MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries People Data Labs for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries People Data Labs, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain People Data Labs tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries People Data Labs against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Example Prompts for People Data Labs in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with People Data Labs immediately.
"Enrich the person profile for the email 'sean@peopledatalabs.com'."
"Search for companies in the 'Financial Services' industry with more than 1000 employees using SQL."
"Identify potential profiles for 'John Doe' who works at 'Google'."
Troubleshooting People Data Labs MCP Server with CrewAI
Common issues when connecting People Data Labs to CrewAI through Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
People Data Labs + CrewAI FAQ
Common questions about integrating People Data Labs MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
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?
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?
Can CrewAI agents call multiple MCP tools in parallel?
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)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Explore More MCP Servers
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