PeopleDB MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Autocomplete, Bulk Enrich People, Clean Company, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add PeopleDB 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 App Connector for LlamaIndex
The PeopleDB app connector for LlamaIndex is a standout in the Sales Automation category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import 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 PeopleDB. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in PeopleDB?"
)
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 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.
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.
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
Who is it for?
Ideal for sales teams, marketers, and developers looking to clean and enrich B2B contact lists instantly.The PeopleDB MCP Server exposes 12 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 PeopleDB tools available for LlamaIndex
When LlamaIndex connects to PeopleDB through Vinkius, your AI agent gets direct access to every tool listed below — spanning data-enrichment, b2b-intelligence, email-verification, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Autocomplete field values
Bulk enrich people
Clean a company name
Clean a location
Clean a name
Enrich a company
Enrich a person
Check credit balance
Identify a person
Search companies
Search people
Verify an email
Connect PeopleDB to LlamaIndex via MCP
Follow these steps to wire PeopleDB into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the 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 PeopleDB MCP Server
LlamaIndex provides unique advantages when paired with PeopleDB through the Model Context Protocol.
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
PeopleDB + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the PeopleDB MCP Server delivers measurable value.
Hybrid search: combine PeopleDB real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query PeopleDB 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 PeopleDB for fresh data
Analytical workflows: chain PeopleDB queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for PeopleDB in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with PeopleDB immediately.
"Enrich the person with email john@company.com on PeopleDB"
"Is the email contact@example.com valid and deliverable?"
"Find all CTOs in SaaS companies based in San Francisco"
Troubleshooting PeopleDB MCP Server with LlamaIndex
Common issues when connecting PeopleDB to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpPeopleDB + LlamaIndex FAQ
Common questions about integrating PeopleDB MCP Server with LlamaIndex.