Can I see the transcript of a meeting through the agent?

Yes! Use the `get_meeting_transcript` tool with the meeting ID. The agent will return the full text transcript of the conversation directly from Chorus.ai.

How do I find 'Next Steps' or key moments identified by AI?

Use the `get_meeting_moments` tool. Your agent will fetch the AI-curated insights for that meeting, which typically include action items, questions, and other relevant moments.

Where do I find my Chorus.ai API Token?

Log in to your Chorus.ai account, navigate to your **Personal Settings**, and look for the API or Integration section to generate and copy your token.

Chorus.ai (ZoomInfo) MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Chorus.ai (ZoomInfo)
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Chorus.ai (ZoomInfo) through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Chorus.ai (ZoomInfo) "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Chorus.ai (ZoomInfo)?"
    )
    print(result.data)

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 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.

Pydantic AI validates every Chorus.ai (ZoomInfo) tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Chorus.ai (ZoomInfo) MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

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) with type-safe schemas

Why Use Pydantic AI with the Chorus.ai (ZoomInfo) MCP Server

Pydantic AI provides unique advantages when paired with Chorus.ai (ZoomInfo) through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Chorus.ai (ZoomInfo) integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Chorus.ai (ZoomInfo) connection logic from agent behavior for testable, maintainable code

Chorus.ai (ZoomInfo) + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Chorus.ai (ZoomInfo) MCP Server delivers measurable value.

Type-safe data pipelines: query Chorus.ai (ZoomInfo) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Chorus.ai (ZoomInfo) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Chorus.ai (ZoomInfo) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Chorus.ai (ZoomInfo) responses and write comprehensive agent tests

Chorus.ai (ZoomInfo) MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Chorus.ai (ZoomInfo) to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Chorus.ai (ZoomInfo) to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Chorus.ai (ZoomInfo) + Pydantic AI FAQ

Common questions about integrating Chorus.ai (ZoomInfo) MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Chorus.ai (ZoomInfo) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.