What agent states can I set using this server?

You can use the 'update_agent_state' tool to force an agent into common operational states such as 'READY' (available for calls), 'NOT_READY' (unavailable), or 'LOGOUT' (ends the agent session).

Is the statistics tool real-time?

Yes! The 'get_statistics' tool fetches the current high-level metrics from your Five9 organization, providing an up-to-the-minute view of contact center performance and volumes.

Can I see who is currently on a call?

Absolutely. Use the 'list_active_interactions' tool to see all ongoing calls and digital interactions, including details about the participating agents and interaction durations.

Five9 MCP Server for Pydantic AI 11 tools — connect in under 2 minutes

Name: Five9
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 11 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Five9 through 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 Five9 "
            "(11 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Five9?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Five9 MCP Server

Connect your Five9 account to any AI agent and automate your contact center management through the Model Context Protocol (MCP). Five9 is a leading cloud contact center solution, and with this server, supervisors and administrators can monitor agent states, manage active interactions, and fetch real-time performance statistics directly through natural conversation.

Pydantic AI validates every Five9 tool response against typed schemas, catching data inconsistencies at build time. Connect 11 tools through 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

Agent State Monitoring — List the operational states of all agents and retrieve detailed state information for specific individuals.
Campaign & Skill Overview — Access all configured campaigns and skills to understand your contact center's distribution and capacity.
Interaction Management — List all active call or digital interactions and force-terminate sessions when necessary.
Real-time Statistics — Fetch high-level contact center metrics to keep your pulse on performance without leaving your chat interface.
Remote Agent Control — Update an agent's state (e.g., force to READY or LOGOUT) remotely to manage floor coverage efficiently.
User & Group Discovery — List all users and agent groups defined in your organization for better context and reporting.
Seamless Session Management — The server handles secure login and session token management automatically.

The Five9 MCP Server exposes 11 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 Five9 to Pydantic AI via MCP

Follow these steps to integrate the Five9 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 11 tools from Five9 with type-safe schemas

Why Use Pydantic AI with the Five9 MCP Server

Pydantic AI provides unique advantages when paired with Five9 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 Five9 integration code

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

Dependency injection system cleanly separates your Five9 connection logic from agent behavior for testable, maintainable code

Five9 + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Five9 MCP Server delivers measurable value.

Type-safe data pipelines: query Five9 with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Five9 tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Five9 and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Five9 responses and write comprehensive agent tests

Five9 MCP Tools for Pydantic AI (11)

These 11 tools become available when you connect Five9 to Pydantic AI via MCP:

get_agent_state

Get specific agent state

get_statistics

Get real-time statistics

list_active_interactions

List active interactions

list_agent_groups

List agent groups

list_agent_states

List all agent states

list_campaigns

List all campaigns

list_skills

List all skills

list_users

List all users

logout_session

Logout supervisor session

terminate_interaction

Terminate an interaction

update_agent_state

g., READY, NOT_READY, LOGOUT). Force update agent state

Example Prompts for Five9 in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Five9 immediately.

"Show me the current state of all agents."

"Get real-time contact center statistics."

"Force agent 'agent_123' to 'LOGOUT' state."

Troubleshooting Five9 MCP Server with Pydantic AI

Common issues when connecting Five9 to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Five9 + Pydantic AI FAQ

Common questions about integrating Five9 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 Five9 MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.