How to Use the Fastn MCP in Mastra AI

Q: How do I configure the Fastn MCP Server inside a Mastra AI agent?

Initialize the MCP client using @mastra/mcp and pass the server URL. Then, call listTools on the client and spread those tools directly into your Mastra agent configuration so it can use executeflow instantly.

Run complex Fastn workflows with Mastra AI agents using built-in retries and conditional branching.

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Connect Fastn MCP to Mastra AI

Create your Vinkius account to connect Fastn 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 Fastn with Mastra AI

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Build resilient agentic workflows with Mastra AI

This Fastn MCP Server integrates directly with Mastra AI to handle multi-step automation tasks that require strict error handling and state tracking. When an agent triggers `execute_flow`, Mastra's built-in retry logic catches temporary network blips and handles exponential backoffs. If a workflow fails repeatedly, your agent can query `get_execution` to locate the exact step that broke. From there, the agent can decide to run `cancel_execution` or branch into an alternative recovery path automatically.

Dynamic workflow deployment using Mastra AI agents

Fastn lets your Mastra AI agents programmatically modify and deploy automated backend tasks based on user requests. By exposing `create_workflow` and `publish_workflow` to your agent, it can write new business logic and publish it immediately. The agent verifies existing configurations using `list_workflows` to avoid duplicates. Once the new flow is live, the agent can clean up older, unused automation files by invoking `archive_workflow` to keep your system tidy.

Manage credentials securely inside Mastra AI pipelines

Fastn provides a centralized vault to store and rotate API keys for all your external application connectors. Your Mastra AI agent uses `store_credentials` to save new connector details without hardcoding secrets into your TypeScript codebase. When a pipeline needs to access a protected service, the agent calls `get_credentials` to retrieve the active token. To keep your setup compliant, you can schedule a routine Mastra task that triggers `rotate_credentials` every thirty days.

Setup guide

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

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

const result = await agent.generate(
  "List recent Fastn 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 Fastn. 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 Fastn MCP in Mastra AI

Initialize the MCP client using `@mastra/mcp` and pass the server URL. Then, call `listTools` on the client and spread those tools directly into your Mastra agent configuration so it can use `execute_flow` instantly.

Yes, you can write Mastra workflows that check the output of `get_execution`. If the workflow status indicates a failure, your Mastra code can branch to run a different flow or trigger notification scripts.

You can build a system monitoring agent in Mastra that regularly calls `get_quota_usage` or `get_quota_daily`. This keeps your automated processes informed of remaining limits before running heavy, resource-intensive tasks.

Mastra AI can monitor execution durations. If a run takes too long, your agent can call `cancel_execution` to free up resources and log the incident for your engineering team to review.

All workflow configurations and third-party credentials are sandboxed within V8 isolates on Vinkius. When your MCP client triggers `get_credentials`, the data is transmitted over a secure, single-token endpoint, keeping your keys isolated from public networks.

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