How do I get my Relay API Key?

Log in to your Relay account, navigate to Settings > API Keys, and generate a new key.

Can I pass inputs to a workflow?

Yes! Use the run_workflow action with a JSON object of input variables that match your workflow's input schema.

Can I cancel an active workflow run?

Yes! Use the cancel_run action with the run ID. This only works on runs that are currently in progress.

Can I view the required inputs for a specific workflow?

Yes! Use the get_workflow action to see its required input schema before running it.

Relay Workflow Automation MCP Server for Pydantic AI 6 tools — connect in under 2 minutes

Name: Relay Workflow Automation
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 6 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Relay Workflow Automation through 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 Relay Workflow Automation "
            "(6 tools)."
        ),
    )

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

Connect Relay to any AI agent and automate your business workflows -- list available workflows, trigger executions with dynamic inputs, monitor run statuses, and cancel active runs through natural conversation.

Pydantic AI validates every Relay Workflow Automation 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

Workflow Discovery -- List and inspect all configured workflows in your account
Trigger Execution -- Start workflows with custom input variables
Run Monitoring -- Check progress and results of active and completed runs
Run Management -- Cancel in-progress workflows when needed

The Relay Workflow Automation 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.

How to Connect Relay Workflow Automation to Pydantic AI via MCP

Follow these steps to integrate the Relay Workflow Automation 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 6 tools from Relay Workflow Automation with type-safe schemas

Why Use Pydantic AI with the Relay Workflow Automation MCP Server

Pydantic AI provides unique advantages when paired with Relay Workflow Automation 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 Relay Workflow Automation integration code

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

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

Relay Workflow Automation + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Relay Workflow Automation MCP Server delivers measurable value.

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

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

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

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

Relay Workflow Automation MCP Tools for Pydantic AI (6)

These 6 tools become available when you connect Relay Workflow Automation to Pydantic AI via MCP:

cancel_run

Only works on runs that are still in progress. Cancel an in-progress workflow run

get_run_status

Get the current status of a workflow run

get_workflow

Get details of a specific workflow

list_runs

List recent workflow runs

list_workflows

Use this to discover available automations before running them. List all workflows in your Relay account

run_workflow

Provide a JSON object of input variables required by the workflow. Trigger a workflow execution with optional inputs

Example Prompts for Relay Workflow Automation in Pydantic AI

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

"List all my workflows."

"Run the 'Customer Onboarding' workflow with inputs {email: 'john@example.com', name: 'John Doe'}."

"Check the status of run run_abc123."

Troubleshooting Relay Workflow Automation MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Relay Workflow Automation + Pydantic AI FAQ

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