Lusha MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Bulk Enrich Companies, Bulk Enrich Persons, Enrich Company Info, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Lusha 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 Lusha app connector for LlamaIndex is a standout in the Industry Titans 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 Lusha. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Lusha?"
)
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 Lusha MCP Server
Connect your Lusha account to any AI agent and take full control of your sales prospecting and data enrichment through natural conversation. Lusha provides a premier B2B database, and this integration allows you to retrieve high-fidelity contact details (email, phone), enrich company metadata, and search for new prospects directly from your chat interface.
LlamaIndex agents combine Lusha 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
- Contact & Person Enrichment — Lookup detailed contact metadata programmatically using name, company, or LinkedIn URLs to ensure your CRM is always synchronized.
- Company & Firmographic Intelligence — Access and monitor company data including industry, revenue, and headcount directly from the AI interface to qualify accounts in real-time.
- Prospecting & Search Control — Search for new contacts and companies matching your Ideal Customer Profile (ICP) via natural language to drive better sales efficiency.
- Usage & Credit Oversight — Access granular details for your credit consumption and remaining balance using simple AI commands to maintain a clear overview of your resources.
- Operational Monitoring — Track system responses and manage data ingestion to ensure your sales workflows are always optimized.
The Lusha 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 Lusha tools available for LlamaIndex
When LlamaIndex connects to Lusha through Vinkius, your AI agent gets direct access to every tool listed below — spanning b2b-intelligence, data-enrichment, prospecting, 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.
Enrich multiple companies
Enrich multiple contacts
Get firmographics
Get contact details
Check connection
Check account balance
Enrich by email
Enrich by LinkedIn
Check API usage
Search for businesses
Search for contacts
Verify API key
Connect Lusha to LlamaIndex via MCP
Follow these steps to wire Lusha 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 Lusha MCP Server
LlamaIndex provides unique advantages when paired with Lusha through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Lusha tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Lusha tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Lusha, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Lusha tools were called, what data was returned, and how it influenced the final answer
Lusha + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Lusha MCP Server delivers measurable value.
Hybrid search: combine Lusha real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Lusha 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 Lusha for fresh data
Analytical workflows: chain Lusha queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Lusha in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Lusha immediately.
"Enrich this contact: John Miller at Acme Corp."
"Search for companies in New York with 500-1000 employees in the SaaS industry."
"Check my Lusha credit balance."
Troubleshooting Lusha MCP Server with LlamaIndex
Common issues when connecting Lusha to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpLusha + LlamaIndex FAQ
Common questions about integrating Lusha MCP Server with LlamaIndex.