How to Use the Five9 MCP in Pydantic AI

Q: Does Pydantic AI support Five9 logout commands?

Yes. Simply execute logoutsession within your agent's tool flow. The MCP Server ensures the request reaches your Five9 environment.

Q: Can I list Five9 users with Pydantic AI?

You can. The listusers tool returns the full list of agents, which your agent can then filter based on your defined model.

Build type-safe Five9 contact center automation with Pydantic AI and MCP.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Five9 MCP to Pydantic AI

Create your Vinkius account to connect Five9 to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Five9 with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Type-safe Five9 interaction monitoring

Validate every response from `list_active_interactions` against your Pydantic models. This ensures your Pydantic AI agent only acts on verified call data. If the API returns unexpected fields, your agent catches it immediately. You avoid silent failures in your call management logic.

Strict agent state updates

Force agent status changes using `update_agent_state` with validated inputs. Your code guarantees that only valid states like READY or LOGOUT are sent to Five9. This prevents your Pydantic AI agent from passing invalid strings to the API. You get runtime safety for your contact center operations.

Automated Five9 reporting

Fetch real-time metrics via `get_statistics` and parse them into structured objects. Your agent uses these to make data-backed decisions about queue management. You avoid manual parsing errors by defining your schema upfront. It makes your agent's interaction with Five9 predictable and stable.

Setup guide

Set up Five9 MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "five9-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Five9 tools.",
)

result = await agent.run("List recent Five9 transactions")
print(result.output)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Five9. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Five9 now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Five9 MCP in Pydantic AI

Define a Pydantic model for the tool response. When your Pydantic AI agent calls `get_statistics`, the MCP response is automatically validated against your schema.

Yes. Simply execute `logout_session` within your agent's tool flow. The MCP Server ensures the request reaches your Five9 environment.

You can. The `list_users` tool returns the full list of agents, which your agent can then filter based on your defined model.

The MCP Server reports the error to your agent. Your Pydantic AI logic can then handle the exception gracefully.

All communication is encrypted in transit. Your agent only sees the specific interaction data allowed by your configured permissions.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.