How to Use the Hunter MCP in LlamaIndex

Q: Is it easy to filter Hunter tools for LlamaIndex?

You can use allowedtools filters to restrict which functions your agent sees. This keeps your agent focused on the specific tasks you want it to automate.

Index your sales intelligence with LlamaIndex. Use this MCP Server to ground your RAG applications in real-time lead data.

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Connect Hunter MCP to LlamaIndex

Create your Vinkius account to connect Hunter to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Hunter with LlamaIndex

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Ground your RAG with live lead data

Connect `search_domain_emails` to LlamaIndex to pull fresh prospect data into your knowledge base. Your documents are no longer static snapshots of your sales pipeline. Indexing these results allows your agent to query past lead findings. You get answers based on actual API data rather than stale internal files.

Automate contact enrichment

Use `enrich_email_data` to populate your index with deep contact details. By turning these findings into searchable vectors, you give your agent instant access to prospect intelligence. This makes your RAG pipeline significantly smarter. When you ask about a lead, your agent retrieves the latest data fetched directly from the source.

Manage prospect lists as knowledge

List and filter your saved leads using `list_saved_leads` and index the details for future lookups. LlamaIndex treats these records as primary sources for your agent’s decisions. Keeping your lead folder data in a searchable index helps your agent track changes over time. It transforms simple lists into a dynamic repository of sales insights.

Setup guide

Set up Hunter MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Hunter MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Hunter tools.",
)
response = await agent.run("List recent Hunter data")

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Common questions about Hunter MCP in LlamaIndex

You use the MCP tool spec to wrap the server and convert the tools into a format LlamaIndex understands. This lets your agent interact with the API as part of its indexing process.

Yes. You can run the tools, capture the output, and pass that data into your vector stores. This ensures your knowledge base stays current with your actual prospecting activity.

You can use allowed_tools filters to restrict which functions your agent sees. This keeps your agent focused on the specific tasks you want it to automate.

Yes. By grounding your agent in real-time data from Hunter, you reduce the risk of it relying on outdated records. Your agent queries the current state of your leads.

The server operates in a secure sandbox. Your lead details are requested on-demand by your agent and are never cached permanently by the server itself.

Use it with your favorite AI tools

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