How to Use the Freshworks MCP in Mastra AI

Q: Can Mastra AI automatically retry failed Freshworks API calls?

Yes. If the MCP Server hits a rate limit while running listtickets, the workflow engine applies exponential backoff and tries again. You don't have to write custom retry logic.

Q: Is my sales deal data secure when workflows run?

When your workflow executes listdeals, Vinkius routes the request through a zero-trust architecture. The API token is injected at runtime and the entire execution context is wiped the second the JSON response fires back to your client.

Build resilient support workflows with the Freshworks Mastra AI integration.

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Connect Freshworks MCP to Mastra AI

Create your Vinkius account to connect Freshworks 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 Freshworks with Mastra AI

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Build Mastra AI workflows for support escalation

Automated escalation paths rely on the `list_tickets` and `get_ticket` tools to evaluate issues. You can build a workflow that checks ticket severity, and if it hits a critical threshold, automatically branches to alert an admin. Mastra handles the exponential backoff if the API limits out. By pulling in `list_agents` and `list_groups`, your agent can route the issue to the exact team on call. If the first assignment fails, the workflow just retries the next available group.

Sync sales and support data reliably

Connect your CRM pipeline to your helpdesk logic via the MCP Server using `list_deals` and `list_accounts`. You can design a Mastra workflow that checks open deals before assigning a support ticket. If a massive deal is pending, the AI flags it for VIP handling. The `list_companies` tool provides the firmographic data needed to make these routing decisions. The built-in workflow engine ensures that even if a step drops, the process picks up where it left off.

Map contacts across systems safely

Bridge the gap between pre-sales and post-sales with `list_crm_contacts` and `list_helpdesk_contacts`. Your workflow can query both endpoints, compare the emails, and flag discrepancies for human review. You can use Mastra's requireToolApproval feature here. The AI preps the contact merge, but pauses execution until a human clicks approve. This keeps your database clean while automating the heavy lifting.

Setup guide

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

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

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

Install @mastra/mcp@latest and instantiate a new MCPClient. Point the server URL to your Vinkius endpoint. Mastra auto-detects whether to use Streamable HTTP or SSE.

Yes. If the MCP Server hits a rate limit while running list_tickets, the workflow engine applies exponential backoff and tries again. You don't have to write custom retry logic.

Use the requireToolApproval setting on your agent. When the workflow tries to execute a sensitive tool, it pauses and waits for manual authorization before proceeding.

You can call mcpClient.listTools() and spread the specific CRM or helpdesk tools into different specialized agents within your workflow.

When your workflow executes list_deals, Vinkius routes the request through a zero-trust architecture. The API token is injected at runtime and the entire execution context is wiped the second the JSON response fires back to your client.

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