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How to Use the Factor (Cofactr) MCP in Mastra AI

Run automated supply chain workflows and auto-retry failed parts orders using Mastra AI.

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Connect Factor (Cofactr) MCP to Mastra AI

Create your Vinkius account to connect Factor (Cofactr) 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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Automated inventory reordering loops

The `list_inventory` tool serves as the starting point for your automated restocking loops. Mastra AI monitors these stock levels and triggers a purchase workflow the moment a critical part dips below your threshold. If a supplier is out of stock, the agent uses `list_suppliers` to find an alternative vendor. This setup keeps your assembly line moving without requiring a human to manually watch warehouse bins.

Self-healing purchase workflows

This MCP Server provides `create_purchase_order` to execute transactions automatically when inventory runs dry. Mastra handles API rate limits or temporary supplier timeouts by retrying the order with exponential backoff. You can set up a manual approval step using Mastra's human-in-the-loop feature before the agent calls `create_purchase_order`. This gives your procurement manager final veto power over large, expensive component buys.

Automated RFQ collection and analysis

The `list_rfqs` tool allows your agent to aggregate open bids and compare supplier pricing. Mastra AI runs these checks on a schedule, sorting through responses to find the best deal. Once the agent identifies the lowest bid, it calls `get_rfq` to pull the complete terms. It then pipes that data into your internal Slack or email to notify the team that a quote is ready for review.

Setup guide

Set up Factor (Cofactr) 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Factor (Cofactr) tools become native Mastra tools.

  4. 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: "factor-cofactr-mcp-client",
  servers: {
    "factor-cofactr-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Factor (Cofactr). 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 Factor (Cofactr) MCP in Mastra AI

Create a new `MCPClient` instance pointing to your Vinkius URL. Call `mcpClient.listTools()` to retrieve the operations, and spread them directly into your agent's tools array during initialization.
Yes. You can configure Mastra's `requireToolApproval` check specifically for the `create_purchase_order` tool. The agent will pause the workflow and wait for your go-ahead before sending the order to the supplier.
Mastra has built-in retry logic that catches rate-limit errors from tools like `list_items` or `get_item`. It automatically backs off and retries the call, ensuring your workflows do not break during peak ordering hours.
Use a workflow that polls `list_purchase_orders` on a cron schedule. The agent can check the status of each order with `get_purchase_order` and alert your team if a delivery date slips.
Yes, your raw supplier agreements and RFQ details are protected. The server runs inside an isolated, zero-trust sandbox, meaning your pricing logs from `get_supplier` are never cached or used to train public models.

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