How to Use the ContactOut MCP in LlamaIndex

Q: Can LlamaIndex store the emails retrieved by ContactOut?

Yes, you can configure your agent to write the output of enrichcontact directly into your vector index. This makes the personal emails and phone numbers searchable in future queries.

Q: How does the agent handle rate limits?

You can check your current limits using getapiusage. Your agent can query this tool to decide whether to pause indexing or proceed with the pipeline.

Index live ContactOut prospect data straight into your LlamaIndex knowledge base for smarter RAG.

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Connect ContactOut MCP to LlamaIndex

Create your Vinkius account to connect ContactOut 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 ContactOut with LlamaIndex

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Build a searchable directory using this MCP Server

The `search_companies` tool queries the corporate database to find target organizations matching your industry parameters. Your LlamaIndex agent runs these queries and indexes the raw corporate profiles directly into your vector database. This turns static search results into a dynamic, queryable knowledge base. Instead of scrolling through tables, you ask your agent which companies match your ideal profile and get instant answers.

Enrich company data inside LlamaIndex RAG pipelines

The `enrich_company` tool retrieves deep organizational data, including employee counts and industry classifications. LlamaIndex uses this raw data to update your local document indices on the fly. Your RAG applications gain access to live market intelligence instead of relying on stale offline documents. This ensures your synthesis steps always use current corporate profiles.

Find LinkedIn profiles from email lists

The `find_linkedin_by_email` tool matches raw email addresses back to their original LinkedIn profiles. Your agent uses this tool to map anonymous subscriber lists to real professional identities. By feeding these profiles back into your LlamaIndex vector store using this MCP setup, you build a rich, semantic network of your audience. This makes your personalized outreach highly relevant.

Setup guide

Set up ContactOut 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 ContactOut 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 ContactOut tools.",
)
response = await agent.run("List recent ContactOut data")

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Common questions about ContactOut MCP in LlamaIndex

Use the llama-index-tools-mcp package to set up the basic client pointing to your Vinkius URL. Convert the server tools to a list of llama tools and register them with your FunctionAgent.

Yes, you can configure your agent to write the output of `enrich_contact` directly into your vector index. This makes the personal emails and phone numbers searchable in future queries.

Yes, because the tools run through the standard LlamaIndex interface. The data retrieved from the server flows directly into whatever storage engine you configure.

You can check your current limits using `get_api_usage`. Your agent can query this tool to decide whether to pause indexing or proceed with the pipeline.

The personal emails and direct phone numbers retrieved from the API are only stored in your local index. Vinkius operates a zero-trust execution environment, so no prospect data is cached on our platform.

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