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 LangChain 6 tools — connect in under 2 minutes

Name: Relay Workflow Automation
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 6 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Relay Workflow Automation through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "relay-workflow-automation": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Relay Workflow Automation, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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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.

LangChain's ecosystem of 500+ components combines seamlessly with Relay Workflow Automation through native MCP adapters. Connect 6 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Relay Workflow Automation MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 6 tools from Relay Workflow Automation via MCP

Why Use LangChain with the Relay Workflow Automation MCP Server

LangChain provides unique advantages when paired with Relay Workflow Automation through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Relay Workflow Automation MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Relay Workflow Automation queries for multi-turn workflows

Relay Workflow Automation + LangChain Use Cases

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

RAG with live data: combine Relay Workflow Automation tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Relay Workflow Automation, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Relay Workflow Automation tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Relay Workflow Automation tool call, measure latency, and optimize your agent's performance

Relay Workflow Automation MCP Tools for LangChain (6)

These 6 tools become available when you connect Relay Workflow Automation to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Relay Workflow Automation + LangChain FAQ

Common questions about integrating Relay Workflow Automation MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.