Can the agent place an outbound phone call for me?

Yes! Through the `createPhoneCallTool`, you can ask your agent: `Initiate a phone call to +15551234567 using our 'Sales Assistant' persona`. It will format the payload correctly and instruct Vapi to dial the human using the specified AI persona.

How can I read the transcript of an old automated voice call?

Just tell your chat assistant: `fetch the transcript details for call ID '3fbea5x...'`. The `getCallTool` reaches into Vapi, extracts the raw audio-to-text transcript logs, and the assistant can even summarize the entire human-to-AI interaction for you.

Can I tweak system prompts or models sequentially in my chat editor?

Yes, especially if you're in an IDE like Cursor. You can iterate: `Update Assistant 'Agent A' to use GPT-4o and set its prompt to 'Always be highly overly enthusiastic'`. The agent will use the `updateAssistantTool` to reconfigure the live voice persona instantly.

Vapi MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Vapi
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

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

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

Connect your Vapi account to any AI agent and bring the power of automated voice communication into your standard conversational workspace.

Pydantic AI validates every Vapi tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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

Phone Calling — Send commands instructing the agent to place outbound human-like phone calls and establish web ringing connections through Vapi's PSTN/WebRTC capabilities.
Call Transcripts — Search through recent call logs, retrieve call details natively, and pull raw voice-to-text transcripts or conversation metrics.
Persona Engineering — Ask your chat agent to build new Vapi assistants, update their system prompts, change its specific model, or mutate Voice IDs on the fly.
Squad Routing — List available telephony numbers, tools, and multi-agent squads natively to configure advanced conversational pathways.

The Vapi MCP Server exposes 10 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 Vapi to Pydantic AI via MCP

Follow these steps to integrate the Vapi 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 10 tools from Vapi with type-safe schemas

Why Use Pydantic AI with the Vapi MCP Server

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

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

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

Vapi + Pydantic AI Use Cases

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

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

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

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

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

Vapi MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Vapi to Pydantic AI via MCP:

create_assistant

Provide configuration for transcriber, model, and voice as a JSON string. Create a new Voice AI assistant persona

create_phone_call

Provide the phone number ID and customer details. Start a new outbound phone call via Vapi

create_web_call

Returns a web call configuration. Generate a new web-based voice call link

get_call_details

Retrieves details, transcripts, and metrics for a specific call

list_agent_tools

List all tools available to Vapi assistants

list_assistants

List all Voice AI assistants configured in Vapi

list_calls

List recent and active voice calls managed by Vapi

list_phone_numbers

List all phone numbers connected to Vapi

list_squads

List all multi-agent squads

update_assistant

Update an existing assistant configuration

Example Prompts for Vapi in Pydantic AI

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

"List all our configured Voice assistants and their IDs."

"Get the details and full transcript for call ID 'vapi1234'."

"Update assistant 'Bot Support' to change its `model.model` parameter to `gpt-4o-mini`."

Troubleshooting Vapi MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Vapi + Pydantic AI FAQ

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