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Wing Assistant MCP Server for Pydantic AIGive Pydantic AI instant access to 6 tools to Create Task, Get Assistant, Get Task Status, and more

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Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Wing Assistant 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 Wing Assistant app connector for Pydantic AI is a standout in the Industry Titans category — giving your AI agent 6 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 Wing Assistant "
            "(6 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Wing Assistant?"
    )
    print(result.data)

asyncio.run(main())
Wing Assistant
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About Wing Assistant MCP Server

Connect your Wing Assistant account to any AI agent to automate your delegation workflows and manage your virtual team. Wing provides a managed service that combines AI efficiency with human expertise, and this integration allows you to interact with your assistants through natural conversation.

Pydantic AI validates every Wing Assistant tool response against typed schemas, catching data inconsistencies at build time. Connect 6 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

  • Assistant Orchestration — List all your active virtual assistants and retrieve detailed metadata about their roles and skills.
  • Task Delegation — Delegate new units of work by creating tasks directly in your assistant's queue with clear instructions and priorities.
  • Real-time Lifecycle Control — Update task details, instructions, and statuses programmatically to ensure project alignment.
  • Operational Monitoring — Track task progress and history across your entire workspace to stay updated on your virtual team's output.
  • Resource Navigation — Monitor your assistant's current workload and capacity to optimize your delegation strategy.

The Wing Assistant MCP Server exposes 6 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 6 Wing Assistant tools available for Pydantic AI

When Pydantic AI connects to Wing Assistant through Vinkius, your AI agent gets direct access to every tool listed below — spanning virtual-assistant, task-delegation, outsourcing, 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_task

Provide title and description. Create a new task for an assistant

get_assistant

Get details of a specific assistant

get_task_status

Get current status of a unit of work

list_assistants

List all active virtual assistants

list_tasks

List all tasks assigned to assistants

update_task

Update an existing task

Connect Wing Assistant to Pydantic AI via MCP

Follow these steps to wire Wing Assistant into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 6 tools from Wing Assistant with type-safe schemas

Why Use Pydantic AI with the Wing Assistant MCP Server

Pydantic AI provides unique advantages when paired with Wing Assistant through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Wing Assistant integration code

03

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

04

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

Wing Assistant + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Wing Assistant in Pydantic AI

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

01

"Create a new task for my virtual team to 'Compile a list of 50 local real estate agencies in Miami' and include detailed instructions to find their contact emails."

02

"Check the status of task ID 'TSK-8492' and if it's still pending, update the priority instructions to 'Urgent - Need by EOD today'."

03

"Show me the current workload and active tasks assigned to my assistant 'Maria'."

Troubleshooting Wing Assistant MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Wing Assistant + Pydantic AI FAQ

Common questions about integrating Wing Assistant MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Wing Assistant MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.