How to Use the Convoy MCP in Mastra AI

Q: How do I register the Convoy MCP Server inside a Mastra AI agent?

Install @mastra/mcp@latest and initialize the client using new MCPClient. Pass the Vinkius SSE or HTTP URL into the servers configuration, then call mcpClient.listTools() to spread the tools directly into your agent's tool parameter.

Q: Can I require human approval before Mastra AI modifies Convoy endpoints?

Yes. Mastra supports human-in-the-loop validation via requireToolApproval. You can block critical tools like deleteendpoint or pauseendpoint until an admin reviews and approves the agent's decision.

Build self-healing webhook pipelines using Convoy and Mastra AI workflow engines.

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Connect Convoy MCP to Mastra AI

Create your Vinkius account to connect Convoy 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.

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Setup Convoy with Mastra AI

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Automated Retry Workflows with Mastra AI

When a webhook delivery fails, you do not want to trigger manual alerts immediately. Mastra AI can run a workflow that checks failure logs with `list_event_deliveries` and automatically triggers a retry using `retry_event_delivery`. The agent decides whether to retry based on the error code. If the endpoint remains dead, the workflow branches. The Mastra agent uses `pause_endpoint` to halt traffic, preventing server overload, and schedules a notification task to alert your engineering team.

Onboard Customers in Bulk via MCP Server

Scaling your webhook infrastructure requires coordinating multiple endpoints and subscriptions at once. This MCP Server lets your Mastra agent call `bulk_onboard` to set up new customer accounts during your platform's onboarding workflow. The agent processes the input data, structures the endpoints, and uses `create_subscription` to link them to the correct message sources. Because Mastra handles multi-step workflows, any failure during onboarding triggers an automatic rollback of the created resources.

Dynamic Event Routing and Filtering

Let your agent build complex routing rules on the fly. By exposing `create_filter` to your Mastra agent, it can inspect incoming payload structures and write precise JSON filters to ensure clients only receive relevant events. The agent can also use `dynamic_event` to construct custom payloads based on execution context. This turns your webhook pipeline into an intelligent router that modifies and directs traffic based on Mastra's workflow decisions.

Setup guide

Set up Convoy 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 Convoy 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: "convoy-mcp-client",
  servers: {
    "convoy-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Convoy. 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.

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Common questions about Convoy MCP in Mastra AI

Install `@mastra/mcp@latest` and initialize the client using `new MCPClient`. Pass the Vinkius SSE or HTTP URL into the servers configuration, then call `mcpClient.listTools()` to spread the tools directly into your agent's tool parameter.

Yes. Mastra supports human-in-the-loop validation via `requireToolApproval`. You can block critical tools like `delete_endpoint` or `pause_endpoint` until an admin reviews and approves the agent's decision.

Mastra's built-in workflow engine lets you define retry policies with exponential backoff. If a call to `broadcast_event` fails due to a network glitch, Mastra will retry the step before failing the entire pipeline.

Yes, Mastra automatically detects the transport type. When you configure the Vinkius URL, Mastra establishes a stable SSE connection to access the MCP tools, including `list_delivery_attempts` and `get_endpoint`.

Your endpoint configurations, subscription filters, and delivery logs remain securely inside your Convoy instance. Mastra only processes this metadata ephemerally inside the Vinkius V8 sandbox during active tool executions.

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