How do I get my ZoomInfo API credentials?

You need a **ZoomInfo Enterprise plan** with API access enabled. Log in as an admin user. Navigate to **Admin → Integrations → API**. Click **Generate Credentials** to create your **Client ID** and **Client Secret**. Copy both values and paste them below. Note: API access requires admin approval — if you don't see the API section, contact your ZoomInfo account manager.

Can my AI agent find VP-level contacts at specific companies?

Yes. Ask 'Find all VP-level contacts at Salesforce in Engineering' and get verified names, titles, emails, direct dial numbers, and LinkedIn profiles — ready for immediate outreach without any data cleanup.

Can I enrich my existing CRM contacts with ZoomInfo data?

Yes. Provide an email or company name and ZoomInfo returns the latest verified data — including updated job titles, phone numbers, company revenue, employee count, and tech stack. Perfect for cleaning stale CRM records before outreach campaigns.

Is intent data available through the API?

Yes, if your ZoomInfo plan includes Intent Data. Your AI agent can query which companies are actively researching topics related to your product — giving your sales team a warm lead signal before prospects even visit your website.

ZoomInfo MCP Server for LlamaIndex 8 tools — connect in under 2 minutes

Name: ZoomInfo
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 8 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ZoomInfo as an MCP tool provider through the 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 ZoomInfo. "
            "You have 8 tools available."
        ),
    )

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

asyncio.run(main())

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About ZoomInfo MCP Server

Connect ZoomInfo to your AI agent and access the world's largest B2B contact and company intelligence database conversationally.

LlamaIndex agents combine ZoomInfo 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

Contact Search — Find decision-makers by job title, seniority level, department, company, and location.
Company Intelligence — Pull firmographic data including revenue, employee count, industry, and technology stack.
Data Enrichment — Enrich existing CRM records with ZoomInfo's verified contact and company data.
Intent Data — Identify companies showing buying signals and research intent for your product category.

The ZoomInfo 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 ZoomInfo to LlamaIndex via MCP

Follow these steps to integrate the ZoomInfo 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 ZoomInfo

Why Use LlamaIndex with the ZoomInfo MCP Server

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

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

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

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

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

ZoomInfo + LlamaIndex Use Cases

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

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

Data enrichment: query ZoomInfo 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 ZoomInfo for fresh data

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

ZoomInfo MCP Tools for LlamaIndex (8)

These 8 tools become available when you connect ZoomInfo to LlamaIndex via MCP:

enrich_company

Enrich company

enrich_contact

Enrich contact

get_company_news

Get company news

get_usage

Get API usage

list_intent_topics

List intent topics

search_companies

Search companies

search_contacts

Search contacts

search_intent

Search intent signals

Example Prompts for ZoomInfo in LlamaIndex

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

"Find CTOs at SaaS companies with 50-200 employees in San Francisco."

"Enrich the contact record for sarah@acme.com."

"Which companies are showing buying intent for 'marketing automation'?"

Troubleshooting ZoomInfo MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

ZoomInfo + LlamaIndex FAQ

Common questions about integrating ZoomInfo 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 ZoomInfo tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.