3,400+ MCP servers ready to use
Vinkius
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Bring Data Enrichment
to LlamaIndex

Learn how to connect PeopleDB to LlamaIndex 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 LlamaIndex?

LlamaIndex agents combine PeopleDB tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

  • Data-first architecture: LlamaIndex agents combine PeopleDB tool responses with indexed documents for comprehensive, grounded answers

  • Query pipeline framework lets you chain PeopleDB tool calls with transformations, filters, and re-rankers in a typed pipeline

  • Multi-source reasoning: agents can query PeopleDB, a vector store, and a SQL database in a single turn and synthesize results

  • Observability integrations show exactly what PeopleDB tools were called, what data was returned, and how it influenced the final answer

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See it in action

PeopleDB in LlamaIndex

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 LlamaIndex 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 LlamaIndex

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 LlamaIndex 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 LlamaIndex

Every tool call from LlamaIndex 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 LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

05

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query PeopleDB tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

06

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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BasicMCPClient not found

Install: pip install llama-index-tools-mcp