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YepCode MCP Server for Pydantic AIGive Pydantic AI instant access to 6 tools to Get Process Details, List Executions, List Processes, and more

Built by Vinkius GDPR 6 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect YepCode 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 YepCode app connector for Pydantic AI is a standout in the Ship It 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 YepCode "
            "(6 tools)."
        ),
    )

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

asyncio.run(main())
YepCode
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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 YepCode MCP Server

Connect your YepCode account to any AI agent and simplify how you automate complex data integrations and serverless workflows through natural conversation.

Pydantic AI validates every YepCode 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

  • Process Control — List and trigger serverless processes with custom parameters directly from your agent.
  • Execution Monitoring — Track the history and status of your workflow runs to ensure reliability.
  • Secret Management — List and verify account secrets used in your automations without exposing values.
  • Team Coordination — Query available teams and workspaces to understand your development environment.

The YepCode 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 YepCode tools available for Pydantic AI

When Pydantic AI connects to YepCode through Vinkius, your AI agent gets direct access to every tool listed below — spanning serverless, workflow-automation, data-integration, 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.

get_process_details

Get details for a specific process

list_executions

List recent process executions

list_processes

List YepCode processes

list_secrets

List account secrets

list_teams

List available teams

run_process

Trigger a process execution

Connect YepCode to Pydantic AI via MCP

Follow these steps to wire YepCode 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 YepCode with type-safe schemas

Why Use Pydantic AI with the YepCode MCP Server

Pydantic AI provides unique advantages when paired with YepCode 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 YepCode 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 YepCode connection logic from agent behavior for testable, maintainable code

YepCode + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for YepCode in Pydantic AI

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

01

"Show me all available processes in my YepCode account."

02

"Run the 'Data Export' process with the parameter { "format": "csv" }."

03

"Check the status of my recent process executions."

Troubleshooting YepCode MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

YepCode + Pydantic AI FAQ

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