People Data Labs MCP Server for Pydantic AIGive Pydantic AI instant access to 14 tools to Pdl Autocomplete, Pdl Bulk Enrich Company, Pdl Bulk Enrich Person, and more
GDPR Free for SubscribersPydantic AI brings type-safe agent development to Python with first-class MCP support. Connect People Data Labs through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this MCP Server for Pydantic AI
The People Data Labs MCP Server for Pydantic AI 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
Geminiimport asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to People Data Labs "
"(14 tools)."
),
)
result = await agent.run(
"What tools are available in People Data Labs?"
)
print(result.data)
asyncio.run(main())
* 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.
Pydantic AI validates every People Data Labs tool response against typed schemas, catching data inconsistencies at build time. Connect 14 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI
When Pydantic AI 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 Pydantic AI via MCP
Follow these steps to wire People Data Labs into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the People Data Labs MCP Server
Pydantic AI provides unique advantages when paired with People Data Labs through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your People Data Labs integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your People Data Labs connection logic from agent behavior for testable, maintainable code
People Data Labs + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the People Data Labs MCP Server delivers measurable value.
Type-safe data pipelines: query People Data Labs with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple People Data Labs tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query People Data Labs and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock People Data Labs responses and write comprehensive agent tests
Example Prompts for People Data Labs in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting People Data Labs to Pydantic AI through Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiPeople Data Labs + Pydantic AI FAQ
Common questions about integrating People Data Labs MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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