How to Use the Concord (Workflow Orchestration) MCP in Mastra AI

Q: How does Mastra AI handle conditional logic with Concord (Workflow Orchestration)?

You can define a Mastra workflow where step one calls getprocess. If the status is failed, step two executes a separate agent path to analyze the logs with getprocesslog.

Q: Can I require human approval before Mastra AI terminates a Concord (Workflow Orchestration) process?

Yes, you can set requireToolApproval on the terminateprocess tool. Your Mastra agent will halt execution and wait for human confirmation before stopping the run.

Q: Does this MCP Server support Mastra's automatic retry engine?

Absolutely. If startprocess fails due to a temporary network blip, Mastra's engine can automatically attempt the call again based on your backoff configuration.

Build resilient Mastra AI agents that automatically recover failed Concord (Workflow Orchestration) pipelines.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Concord (Workflow Orchestration) MCP to Mastra AI

Create your Vinkius account to connect Concord (Workflow Orchestration) to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Concord (Workflow Orchestration) with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automated Error Recovery via Mastra AI

Build agents that react to build failures instantly. When a Concord process fails, your Mastra agent catches the error, calls `get_process_log` to find the exact stack trace, and decides how to fix the broken configuration. If the failure is a transient network issue, the agent uses Mastra's built-in retry logic to execute `start_process` again. It handles exponential backoff behind the scenes so this MCP Server does not get overloaded.

Conditional Branching for Multi-Org Pipelines

Route tasks based on where your code lives. Your agent calls `list_organizations` and `list_projects` to determine the correct target workspace before kicking off any automation. If a project is missing its config, the agent branches to a setup path, pulling repository details with `list_repositories` to verify the environment before letting `start_process` run.

Human-in-the-Loop Process Termination

Keep control over critical environments. When your agent detects a runaway resource-heavy task via `list_running_processes`, it can flag it for review instead of killing it immediately. By using Mastra's tool approval feature, the agent pauses before executing `terminate_process`. Once a human clicks approve, the agent executes the stop command and updates the system state.

Setup guide

Set up Concord (Workflow Orchestration) MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Concord (Workflow Orchestration) tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "concord-workflow-orchestration-mcp-client",
  servers: {
    "concord-workflow-orchestration-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Concord (Workflow Orchestration) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Concord (Workflow Orchestration) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Concord (Workflow Orchestration) transactions"
);
console.log(result.text);

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Concord. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Concord (Workflow Orchestration) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Concord (Workflow Orchestration) MCP in Mastra AI

You can define a Mastra workflow where step one calls `get_process`. If the status is failed, step two executes a separate agent path to analyze the logs with `get_process_log`.

Yes, you can set `requireToolApproval` on the `terminate_process` tool. Your Mastra agent will halt execution and wait for human confirmation before stopping the run.

Absolutely. If `start_process` fails due to a temporary network blip, Mastra's engine can automatically attempt the call again based on your backoff configuration.

Instantiate the MCP client with your Vinkius endpoint. Then, call `listTools()` on the client and spread those tools directly into your agent's tool configuration array.

Yes, Mastra runs in your own Node environment, meaning sensitive data like `get_project_details` and repository paths retrieved via `list_repositories` are processed locally. No build payloads or organization structures are cached outside your secure perimeter.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript