Lusha MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 6 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 Lusha to your AI agent and access verified B2B contact data for your sales prospecting.
LlamaIndex agents combine Lusha tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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 Enrichment — Find verified emails, direct dial phone numbers, and social profiles for any prospect.
- Company Data — Pull firmographic data including industry, employee count, revenue range, and headquarters location.
- Prospect Search — Build targeted prospect lists filtered by job title, seniority, company size, and geography.
- Bulk Enrichment — Enrich multiple contacts at once from your existing CRM or lead lists.
The Lusha MCP Server exposes 6 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.
How to Connect Lusha to LlamaIndex via MCP
Follow these steps to integrate the Lusha MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 6 tools from Lusha
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
Lusha MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect Lusha to LlamaIndex via MCP:
bulk_enrich
Bulk enrich emails
find_by_linkedin
Find by LinkedIn URL
find_company
Find company
find_person
Find person
get_credits
Get credit balance
search_contacts
Search contacts
Example Prompts for Lusha in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Lusha immediately.
"Find the contact details for John Smith, VP Sales at TechCo."
"Enrich this list of 5 contacts from my CRM."
"Search for marketing directors at fintech companies in London."
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.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Lusha with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Lusha to LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.