Mio MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Create Webhook, Delete Webhook, Get Account Info, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Mio through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The Mio app connector for Pydantic AI is a standout in the Communication Messaging category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Mio "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Mio?"
)
print(result.data)
asyncio.run(main())
* 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 Mio MCP Server
Connect your Mio account to any AI agent and manage automated phone calls through natural conversation.
Pydantic AI validates every Mio tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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
- Outbound Calls — Start AI-powered phone calls with custom scripts and instructions
- Call Logs — Browse call history with status, duration, and outcomes
- Transcripts — Retrieve full text transcriptions of completed calls
- AI Summaries — Get AI-generated summaries and extracted data from calls
- Voice Selection — Choose from multiple neural voices for the AI agent
- Webhooks — Configure event notifications for call status changes
- Call Control — Terminate active calls in real time
- Account — Check credit balance and account information
The Mio MCP Server exposes 12 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.
All 12 Mio tools available for Pydantic AI
When Pydantic AI connects to Mio through Vinkius, your AI agent gets direct access to every tool listed below — spanning interoperability, outbound-calling, call-automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add new notification
Remove a webhook
Get user profile
Get specific call info
Get AI call summary
Get call text log
Check account funds
List AI voices
List all call logs
Get active webhooks
Start an AI phone call
Stop active call
Connect Mio to Pydantic AI via MCP
Follow these steps to wire Mio into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Mio MCP Server
Pydantic AI provides unique advantages when paired with Mio 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 Mio integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Mio connection logic from agent behavior for testable, maintainable code
Mio + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Mio MCP Server delivers measurable value.
Type-safe data pipelines: query Mio with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Mio tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Mio and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Mio responses and write comprehensive agent tests
Example Prompts for Mio in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Mio immediately.
"Start an AI call to confirm tomorrow's appointment with Sarah."
"Get the transcript and summary for call_890."
"Show available AI voices and my credit balance."
Troubleshooting Mio MCP Server with Pydantic AI
Common issues when connecting Mio to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiMio + Pydantic AI FAQ
Common questions about integrating Mio MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.