People Data Labs MCP Server for LlamaIndexGive LlamaIndex instant access to 14 tools to Pdl Autocomplete, Pdl Bulk Enrich Company, Pdl Bulk Enrich Person, and more
GDPR Free for SubscribersLlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add People Data Labs as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this MCP Server for LlamaIndex
The People Data Labs MCP Server for LlamaIndex 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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to People Data Labs. "
"You have 14 tools available."
),
)
response = await agent.run(
"What tools are available in People Data Labs?"
)
print(response)
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.
LlamaIndex agents combine People Data Labs tool responses with indexed documents for comprehensive, grounded answers. Connect 14 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.
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 LlamaIndex 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 LlamaIndex
When LlamaIndex 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 LlamaIndex via MCP
Follow these steps to wire People Data Labs into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the People Data Labs MCP Server
LlamaIndex provides unique advantages when paired with People Data Labs through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine People Data Labs tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain People Data Labs tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query People Data Labs, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what People Data Labs tools were called, what data was returned, and how it influenced the final answer
People Data Labs + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the People Data Labs MCP Server delivers measurable value.
Hybrid search: combine People Data Labs real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query People Data Labs to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying People Data Labs for fresh data
Analytical workflows: chain People Data Labs queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for People Data Labs in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting People Data Labs to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpPeople Data Labs + LlamaIndex FAQ
Common questions about integrating People Data Labs MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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