FindThatLead MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Create Lead, Delete Lead, Domain Search, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add FindThatLead 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 FindThatLead app connector for LlamaIndex is a standout in the Marketing 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 FindThatLead. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in FindThatLead?"
)
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 FindThatLead MCP Server
Connect your FindThatLead account to any AI agent and take full control of your B2B lead discovery and email verification workflows through natural conversation.
LlamaIndex agents combine FindThatLead 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
- Domain Intelligence — Find all email addresses associated with any company domain programmatically and retrieve detailed contact metadata
- Email Discovery — Locate specific professional email addresses using a person's first name, last name, and company domain directly through your agent
- High-Fidelity Verification — Programmatically verify the validity and deliverability of any email address using a multi-step verification algorithm
- Prospecting Automation — Perform local business searches by keyword and location to discover new leads and automate your outreach pipeline
- Campaign Monitoring — Access your saved lead lists and outreach campaigns programmatically to monitor engagement and acquisition progress
The FindThatLead 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 FindThatLead tools available for LlamaIndex
When LlamaIndex connects to FindThatLead through Vinkius, your AI agent gets direct access to every tool listed below — spanning email-discovery, prospecting, b2b-sales, 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.
Save a new lead
Remove a lead
Find emails for a domain
Find email for a specific person
Verify an email address
Get account details
Get account usage stats
Get campaign details
Get lead details
List email campaigns
List saved leads
Find local business leads
Connect FindThatLead to LlamaIndex via MCP
Follow these steps to wire FindThatLead 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 FindThatLead MCP Server
LlamaIndex provides unique advantages when paired with FindThatLead through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine FindThatLead tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain FindThatLead tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query FindThatLead, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what FindThatLead tools were called, what data was returned, and how it influenced the final answer
FindThatLead + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the FindThatLead MCP Server delivers measurable value.
Hybrid search: combine FindThatLead real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query FindThatLead 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 FindThatLead for fresh data
Analytical workflows: chain FindThatLead queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for FindThatLead in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with FindThatLead immediately.
"Find all emails for the domain 'stripe.com'."
"Verify if 'test@example.com' is a valid email."
"Find the email for 'John Doe' at 'acme.com'."
Troubleshooting FindThatLead MCP Server with LlamaIndex
Common issues when connecting FindThatLead to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFindThatLead + LlamaIndex FAQ
Common questions about integrating FindThatLead MCP Server with LlamaIndex.