Avochato MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Create Contact, Create Webhook, Delete Webhook, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Avochato 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 Avochato 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 Avochato "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Avochato?"
)
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 Avochato MCP Server
Connect your Avochato account to any AI agent and take full control of your high-fidelity business texting and customer engagement workflows through natural conversation.
Pydantic AI validates every Avochato 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
- Multichannel Messaging Orchestration — Instantly dispatch high-fidelity SMS and MMS messages to customers and leads with automatic link and media handling
- Relationship Intelligence — Sync and manage your entire business contact directory programmatically, retrieving detailed high-fidelity profiles and interaction history
- Ticket Lifecycle Management — Organize team workflows by creating and updating tickets, monitoring status transitions, and assigning ownership in real-time
- Communication Architecture — Access complete conversation logs and message threads to maintain high-fidelity oversight of your organizational digital voice
- Operational Monitoring — Configure real-time webhooks for incoming messages and retrieve account-level metadata directly through your agent for instant reporting
The Avochato 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 Avochato tools available for Pydantic AI
When Pydantic AI connects to Avochato through Vinkius, your AI agent gets direct access to every tool listed below — spanning business-messaging, sms-marketing, mms, 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.
Create a new contact
Create a new webhook
Delete a webhook
Get account identity
Get contact details
List SMS contacts
List SMS/MMS messages
List conversation tickets
List active webhooks
Send an SMS/MMS
Update contact info
Update ticket status
Connect Avochato to Pydantic AI via MCP
Follow these steps to wire Avochato 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 Avochato MCP Server
Pydantic AI provides unique advantages when paired with Avochato 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 Avochato integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Avochato connection logic from agent behavior for testable, maintainable code
Avochato + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Avochato MCP Server delivers measurable value.
Type-safe data pipelines: query Avochato with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Avochato tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Avochato and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Avochato responses and write comprehensive agent tests
Example Prompts for Avochato in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Avochato immediately.
"Send a SMS 'Your order is ready!' to '+14155550123'."
"List all active tickets in my Avochato inbox."
"Update ticket '12345' status to 'closed'."
Troubleshooting Avochato MCP Server with Pydantic AI
Common issues when connecting Avochato to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiAvochato + Pydantic AI FAQ
Common questions about integrating Avochato 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.