Chorus.ai (ZoomInfo) 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 Chorus.ai (ZoomInfo) as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 Chorus.ai (ZoomInfo). "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Chorus.ai (ZoomInfo)?"
)
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 Chorus.ai (ZoomInfo) MCP Server
Connect your Chorus.ai (ZoomInfo) account to any AI agent and take full control of your conversation intelligence through natural conversation. Streamline how you review and coach your sales team's interactions.
LlamaIndex agents combine Chorus.ai (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
- Meeting Oversight — List and retrieve details for all recorded meetings and calls natively
- Transcription Intelligence — Access full text transcripts for any engagement to review customer dialogue flawlessly
- Moment Analysis — Retrieve AI-identified key moments, such as next steps or pain points, securely
- Team Management — List all users and team members to manage access and review performance flawlessly
- Engagement Visibility — Monitor active and past engagements to understand sales cycle progress in real-time
- Market Insights — List tracked competitors mentioned in conversations to identify market trends flawlessly
- Shared Knowledge — Access shared meeting playlists to facilitate team learning directly within your workspace
The Chorus.ai (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 Chorus.ai (ZoomInfo) to LlamaIndex via MCP
Follow these steps to integrate the Chorus.ai (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 Chorus.ai (ZoomInfo)
Why Use LlamaIndex with the Chorus.ai (ZoomInfo) MCP Server
LlamaIndex provides unique advantages when paired with Chorus.ai (ZoomInfo) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Chorus.ai (ZoomInfo) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Chorus.ai (ZoomInfo) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Chorus.ai (ZoomInfo), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Chorus.ai (ZoomInfo) tools were called, what data was returned, and how it influenced the final answer
Chorus.ai (ZoomInfo) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Chorus.ai (ZoomInfo) MCP Server delivers measurable value.
Hybrid search: combine Chorus.ai (ZoomInfo) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Chorus.ai (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 Chorus.ai (ZoomInfo) for fresh data
Analytical workflows: chain Chorus.ai (ZoomInfo) queries with LlamaIndex's data connectors to build multi-source analytical reports
Chorus.ai (ZoomInfo) MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Chorus.ai (ZoomInfo) to LlamaIndex via MCP:
get_meeting_details
Get detailed information for a specific meeting
get_meeting_moments
Retrieve AI-identified key moments for a meeting
get_meeting_transcript
Retrieve the full text transcript for a meeting
get_my_chorus_profile
Retrieve information about the currently authenticated session
list_chorus_meetings
ai. List recent meetings and calls
list_chorus_users
List all users and team members in the account
list_meeting_playlists
List all shared meeting playlists
list_tracked_competitors
List competitors being tracked in conversations
Example Prompts for Chorus.ai (ZoomInfo) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Chorus.ai (ZoomInfo) immediately.
"List my meetings from today in Chorus.ai."
"What were the key moments in the 'Intro Call with Acme'?"
"Who are the members of the 'EMEA Sales' team?"
Troubleshooting Chorus.ai (ZoomInfo) MCP Server with LlamaIndex
Common issues when connecting Chorus.ai (ZoomInfo) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpChorus.ai (ZoomInfo) + LlamaIndex FAQ
Common questions about integrating Chorus.ai (ZoomInfo) 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 Chorus.ai (ZoomInfo) 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 Chorus.ai (ZoomInfo) to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.