Clearout.io MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Clearout.io as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 Clearout.io. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Clearout.io?"
)
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 Clearout.io MCP Server
Connect your Clearout.io account to any AI agent and take full control of your email verification and deliverability workflows through natural conversation. Streamline how you maintain list hygiene and protect your sender reputation natively.
LlamaIndex agents combine Clearout.io tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through the 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
- Instant Verification — Verify single email addresses in real-time to identify valid, invalid, or catch-all accounts natively
- Bulk Intelligence — Submit and monitor large email lists for asynchronous verification flawlessly
- Deliverability Auditing — Specifically check for disposable, catch-all, or role-based email addresses securely
- Business Logistics — Identify business vs. free/personal email accounts to target professional audiences flawlessly
- Job Oversight — List and retrieve the status of all current and historical bulk verification jobs flawlessly
- Credit Tracking — Retrieve your remaining verification credit balance directly within your workspace
The Clearout.io MCP Server exposes 8 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 Clearout.io to LlamaIndex via MCP
Follow these steps to integrate the Clearout.io 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 8 tools from Clearout.io
Why Use LlamaIndex with the Clearout.io MCP Server
LlamaIndex provides unique advantages when paired with Clearout.io through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Clearout.io tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Clearout.io tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Clearout.io, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Clearout.io tools were called, what data was returned, and how it influenced the final answer
Clearout.io + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Clearout.io MCP Server delivers measurable value.
Hybrid search: combine Clearout.io real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Clearout.io 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 Clearout.io for fresh data
Analytical workflows: chain Clearout.io queries with LlamaIndex's data connectors to build multi-source analytical reports
Clearout.io MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Clearout.io to LlamaIndex via MCP:
check_business_email
Check if an email belongs to a business or professional domain
check_disposable_email
Check if an email address belongs to a disposable/temporary provider
check_email_catchall
Specifically check if an email domain is configured as catch-all
get_bulk_verification_status
Get the progress status of a bulk verification job
get_clearout_credit_balance
Retrieve the remaining email verification credit balance
list_bulk_verification_jobs
List all bulk verification jobs in the account
submit_bulk_email_list
Submit a list of emails for bulk verification
verify_email_instant
Verify a single email address in real-time
Example Prompts for Clearout.io in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Clearout.io immediately.
"Verify this email address: support@example.com"
"What is my current credit balance in Clearout?"
"Check if 'johndoe@gmail.com' is a business or personal email."
Troubleshooting Clearout.io MCP Server with LlamaIndex
Common issues when connecting Clearout.io to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpClearout.io + LlamaIndex FAQ
Common questions about integrating Clearout.io 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 Clearout.io 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 Clearout.io to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.