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People Data Labs MCP Server for Google ADKGive Google ADK instant access to 14 tools to Pdl Autocomplete, Pdl Bulk Enrich Company, Pdl Bulk Enrich Person, and more

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Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add People Data Labs as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Ask AI about this MCP Server for Google ADK

The People Data Labs MCP Server for Google ADK is a standout in the Data Analytics category — giving your AI agent 14 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="people_data_labs_agent",
    instruction=(
        "You help users interact with People Data Labs "
        "using 14 available tools."
    ),
    tools=[mcp_tools],
)
People Data Labs
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Google ADK natively supports People Data Labs as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 14 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK

When Google ADK 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

Pdl autocomplete on People Data Labs

Get autocomplete suggestions for Search API query values

pdl

Pdl bulk enrich company on People Data Labs

Bulk enrich up to 100 companies

pdl

Pdl bulk enrich person on People Data Labs

Bulk enrich up to 100 persons

pdl

Pdl clean company on People Data Labs

Clean and standardize raw company data

pdl

Pdl clean location on People Data Labs

Clean and standardize raw location data

pdl

Pdl clean school on People Data Labs

Clean and standardize raw school data

pdl

Pdl enrich company on People Data Labs

Enrich a company profile

pdl

Pdl enrich ip on People Data Labs

Enrich an IP address

pdl

Pdl enrich job title on People Data Labs

Enrich a job title to find similar titles and relevant skills

pdl

Pdl enrich person on People Data Labs

Enrich a person profile using attributes

pdl

Pdl identify person on People Data Labs

Returns match_score. Identify multiple possible person profiles

pdl

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

Pdl search job posting on People Data Labs

Search active and historical job postings

pdl

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 Google ADK via MCP

Follow these steps to wire People Data Labs into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

The agent will discover 14 tools from People Data Labs via MCP

Why Use Google ADK with the People Data Labs MCP Server

Google ADK provides unique advantages when paired with People Data Labs through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with People Data Labs

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine People Data Labs tools with BigQuery, Vertex AI, and Cloud Functions

People Data Labs + Google ADK Use Cases

Practical scenarios where Google ADK combined with the People Data Labs MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query People Data Labs and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine People Data Labs tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query People Data Labs regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including People Data Labs

Example Prompts for People Data Labs in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with People Data Labs immediately.

01

"Enrich the person profile for the email 'sean@peopledatalabs.com'."

02

"Search for companies in the 'Financial Services' industry with more than 1000 employees using SQL."

03

"Identify potential profiles for 'John Doe' who works at 'Google'."

Troubleshooting People Data Labs MCP Server with Google ADK

Common issues when connecting People Data Labs to Google ADK through Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

People Data Labs + Google ADK FAQ

Common questions about integrating People Data Labs MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

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