Can I see my active routing queues through the agent?

Yes! Use the `list_chili_queues` tool. The agent will return all configured queues in your account, allowing you to audit how leads are being distributed.

How do I check the details of a specific meeting?

Use the `get_meeting_details` tool with the unique meeting ID. Your agent will fetch the full record, including the attendees, timestamp, and status.

Where do I find my Chili Piper API Key?

Log in to your Chili Piper Admin Center and navigate to **Integrations**. You will find your API key there (it may be labeled as the Zapier API Key).

Chili Piper MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Chili Piper
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 Chili Piper 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 Chili Piper "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Chili Piper?"
    )
    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 Chili Piper MCP Server

Connect your Chili Piper account to any AI agent and take full control of your scheduling and lead routing workflows through natural conversation. Streamline how your sales team connects with prospects.

Pydantic AI validates every Chili Piper tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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

Queue Oversight — List and retrieve details for all active lead routing and booking queues natively
Meeting Intelligence — Access recently booked meetings and retrieve detailed event metadata flawlessly
Router Management — List all inbound routers used for form routing and lead distribution securely
Team Oversight — Monitor all teams configured in your account and verify their member rosters flawlessly
Engagement Tracking — Access meeting reminders and templates to ensure consistent prospect communication flawlessly
Account Visibility — Retrieve core account information and user settings directly within your workspace

The Chili Piper 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 Chili Piper to Pydantic AI via MCP

Follow these steps to integrate the Chili Piper 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 Chili Piper with type-safe schemas

Why Use Pydantic AI with the Chili Piper MCP Server

Pydantic AI provides unique advantages when paired with Chili Piper 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 Chili Piper integration code

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

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

Chili Piper + Pydantic AI Use Cases

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

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

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

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

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

Chili Piper MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Chili Piper to Pydantic AI via MCP:

get_chili_account_info

Retrieve core account and user information

get_meeting_details

Get detailed information for a specific meeting

get_queue_details

Get detailed information for a specific queue

list_booked_meetings

List recently booked meetings

list_chili_queues

List all routing queues

list_chili_teams

List all teams configured in the account

list_inbound_routers

List all inbound routers used for form routing

list_meeting_reminders

List configured meeting reminders and templates

Example Prompts for Chili Piper in Pydantic AI

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

"List my last 5 booked meetings in Chili Piper."

"Show me all active routing queues."

"Who are the members of the 'Inside Sales' team?"

Troubleshooting Chili Piper MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Chili Piper + Pydantic AI FAQ

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