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

MCP Inspector GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect People Data Labs through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

The People Data Labs MCP Server for LangChain 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
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "people-data-labs": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using People Data Labs, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
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.

LangChain's ecosystem of 500+ components combines seamlessly with People Data Labs through native MCP adapters. Connect 14 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

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

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 14 tools from People Data Labs via MCP

Why Use LangChain with the People Data Labs MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine People Data Labs MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across People Data Labs queries for multi-turn workflows

People Data Labs + LangChain Use Cases

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

01

RAG with live data: combine People Data Labs tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query People Data Labs, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain People Data Labs tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every People Data Labs tool call, measure latency, and optimize your agent's performance

Example Prompts for People Data Labs in LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

People Data Labs + LangChain FAQ

Common questions about integrating People Data Labs MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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