3,400+ MCP servers ready to use
Vinkius

Bring Data Enrichment
to LangChain

Learn how to connect PeopleDB to LangChain and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

AutocompleteBulk Enrich PeopleClean CompanyClean LocationClean NameEnrich CompanyEnrich PersonGet BalanceIdentify PersonSearch CompaniesSearch PeopleVerify Email

What is the PeopleDB MCP Server?

Empower your sales and data teams by integrating People Data Labs directly into your AI workflows. Your AI agent can tap into a database of over 3 billion records to automatically enrich incomplete lead profiles, verify email deliverability on the fly, and standardize messy CRM records before outreach campaigns.

What you can do

  • Enrich person and company profiles
  • Search people and companies with SQL-like filters
  • Verify email deliverability
  • Identify people from partial data
  • Clean and standardize names, locations, and company names

How it works

1. Subscribe to PeopleDB (PeopleDataLabs) 2. Generate your API key in the dashboard 3. Start enriching your contacts securely via Vinkius

Who is it for?

Ideal for sales teams, marketers, and developers looking to clean and enrich B2B contact lists instantly.

Built-in capabilities (12)

autocomplete

Autocomplete field values

bulk_enrich_people

Bulk enrich people

clean_company

Clean a company name

clean_location

Clean a location

clean_name

Clean a name

enrich_company

Enrich a company

enrich_person

Enrich a person

get_balance

Check credit balance

identify_person

Identify a person

search_companies

Search companies

search_people

Search people

verify_email

Verify an email

Why LangChain?

LangChain's ecosystem of 500+ components combines seamlessly with PeopleDB through native MCP adapters. Connect 12 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.

  • The largest ecosystem of integrations, chains, and agents. combine PeopleDB MCP tools with 500+ LangChain components

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

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

  • Memory and conversation persistence let agents maintain context across PeopleDB queries for multi-turn workflows

See it in action

PeopleDB in LangChain

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

PeopleDB and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect PeopleDB to LangChain 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.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for PeopleDB in LangChain

The PeopleDB 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 12 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LangChain 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.

PeopleDB
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

The Vinkius Advantage

How Vinkius secures PeopleDB for LangChain

Every tool call from LangChain to the PeopleDB MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

How does person enrichment work?

Provide an email, LinkedIn URL, name+company, or phone number and receive full professional profile including title, company, skills, education, and social links.

02

Can I clean messy data?

Yes, use cleaner tools to standardize names into first/middle/last, locations into city/region/country, and company names into canonical forms.

03

Is email verification supported?

Yes, you can directly verify if an email address is valid, deliverable, and safe to use in your outbound campaigns.

04

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.

05

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.

06

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.

07

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters