Listclean MCP Server for LlamaIndex 5 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Listclean 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 Listclean. "
"You have 5 tools available."
),
)
response = await agent.run(
"What tools are available in Listclean?"
)
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 Listclean MCP Server
Connect your Listclean account to any AI agent to automate your email hygiene and deliverability workflows. This MCP server enables your agent to verify single email addresses instantly, process batch validations, and monitor your verification credits directly from natural language interfaces.
LlamaIndex agents combine Listclean tool responses with indexed documents for comprehensive, grounded answers. Connect 5 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
- Real-time Verification — Instantly check if an email address is clean, dirty, or risky before sending
- Batch Processing — Validate large lists of email addresses (up to 3,000 per request) efficiently
- History Oversight — Retrieve logs of previously performed single verifications to track your activity
- Credit Management — Monitor your remaining verification credits to ensure uninterrupted service
- Data Quality Audit — Identify catch-all, disposable, and role-based emails to maintain a high-quality contact list
The Listclean MCP Server exposes 5 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 Listclean to LlamaIndex via MCP
Follow these steps to integrate the Listclean 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 5 tools from Listclean
Why Use LlamaIndex with the Listclean MCP Server
LlamaIndex provides unique advantages when paired with Listclean through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Listclean tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Listclean tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Listclean, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Listclean tools were called, what data was returned, and how it influenced the final answer
Listclean + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Listclean MCP Server delivers measurable value.
Hybrid search: combine Listclean real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Listclean 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 Listclean for fresh data
Analytical workflows: chain Listclean queries with LlamaIndex's data connectors to build multi-source analytical reports
Listclean MCP Tools for LlamaIndex (5)
These 5 tools become available when you connect Listclean to LlamaIndex via MCP:
check_account_credits
Check remaining verification credits
get_account_profile
Get account profile details
get_verification_logs
Retrieve logs of previously verified single emails
verify_batch_emails
Maximum recommended size is 3,000 per request. Verify multiple email addresses in one batch
verify_single_email
Requires a single email string. Verify a single email address in real-time
Example Prompts for Listclean in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Listclean immediately.
"Verify the email address 'test@example.com' in Listclean."
"Show my recent email verification logs."
"How many verification credits do I have left?"
Troubleshooting Listclean MCP Server with LlamaIndex
Common issues when connecting Listclean to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpListclean + LlamaIndex FAQ
Common questions about integrating Listclean 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 Listclean 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 Listclean to LlamaIndex
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.