How do I get my Hunter.io API key?

Log in to your Hunter.io account at **hunter.io**. In the left sidebar, click the **API** section (or go directly to **hunter.io/api-keys**). Your API key is displayed on this page. Click the **copy** button to copy it. Paste it into the configuration field below. Free plans include 25 searches and 50 verifications per month.

Can I find the email of a specific person at a company?

Yes. Give your AI agent a person's first name, last name, and company domain, and it returns their most likely professional email address with a confidence score. Perfect for reaching out to specific decision-makers.

How accurate is the email verification?

Hunter's verification checks MX records, SMTP responses, and catch-all configurations — returning a status of 'valid', 'invalid', 'accept_all', or 'unknown'. Valid emails have over 95% deliverability. Always verify before sending cold outreach to protect your sender reputation.

Does it work with free plans?

Yes. Hunter offers a free plan with 25 email searches and 50 verifications per month. The API key works the same regardless of plan — the only difference is quota limits. Upgrade to a paid plan for higher volumes.

Hunter MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Hunter
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Hunter as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 Hunter. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Hunter?"
    )
    print(response)

asyncio.run(main())

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* 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 Hunter MCP Server

Connect Hunter.io to your AI agent and power your lead generation with verified email discovery and enrichment.

LlamaIndex agents combine Hunter tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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 Search — Find all professional email addresses associated with any company domain.
Email Finder — Locate a specific person's email using their name and company domain.
Email Verification — Verify if an email address is valid, deliverable, and safe to send to.
Lead Lists — Create and manage lead lists with verified contacts for outreach campaigns.

The Hunter MCP Server exposes 10 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 Hunter to LlamaIndex via MCP

Follow these steps to integrate the Hunter 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 10 tools from Hunter

Why Use LlamaIndex with the Hunter MCP Server

LlamaIndex provides unique advantages when paired with Hunter through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Hunter tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Hunter tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Hunter, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Hunter tools were called, what data was returned, and how it influenced the final answer

Hunter + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Hunter MCP Server delivers measurable value.

Hybrid search: combine Hunter real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Hunter 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 Hunter for fresh data

Analytical workflows: chain Hunter queries with LlamaIndex's data connectors to build multi-source analytical reports

Hunter MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Hunter to LlamaIndex via MCP:

domain_search

Search emails by domain

email_count

Count emails for domain

email_finder

Find specific email

email_verifier

Verify email address

get_account

Get account info

get_campaign

Get campaign details

list_campaigns

List campaigns

list_lead_lists

List lead lists

list_leads

List saved leads

list_recipients

List campaign recipients

Example Prompts for Hunter in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Hunter immediately.

"Find all email addresses at stripe.com."

"Find the email for Sarah Johnson at Acme Corp."

"Verify if contact@oldstartup.io is still valid."

Troubleshooting Hunter MCP Server with LlamaIndex

Common issues when connecting Hunter to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Hunter + LlamaIndex FAQ

Common questions about integrating Hunter MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Hunter tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.