How to Use the Hiver MCP in Mastra AI

Q: Can Mastra AI agents use Hiver to automate responses?

Yes. Agents use createshareddraft to write replies. You keep a human-in-the-loop by requiring approval before the agent finalizes the action.

Q: Is Hiver compatible with Mastra AI multi-step workflows?

It is. You can chain listsharedinboxes into listinboxconversations as part of a single agentic process within your Mastra AI codebase.

Q: How do I test my Hiver connection in Mastra AI?

Run the testhiverauth tool in your agent's initial setup phase. It confirms your credentials are valid before the workflow starts.

Automate your support workflows in Mastra AI. Build agents that handle ticket routing and status updates without manual intervention.

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Create your Vinkius account to connect Hiver 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 Hiver with Mastra AI

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Automated ticket routing for Mastra AI agents

Build agents that monitor incoming traffic using `list_inbox_conversations`. If a thread meets your criteria, the agent can trigger `update_thread_status` to move it to the right person. Mastra AI manages the logic flow and retries. Your support team spends less time triaging and more time solving actual customer problems.

Conditional draft creation in Mastra AI

Set up complex branching logic where your agent evaluates a thread first. If the sentiment is right, it uses `create_shared_draft` to queue a response. You define the rules in your Mastra AI workflow. The agent checks the context via `get_conversation_details` before it ever commits a draft to the shared inbox.

Team coordination with Mastra AI agents

Use `search_team_members` to find the right person for an escalation. Your Mastra AI agent can identify who is available and assign the conversation accordingly. This keeps your team's workload balanced. The agent handles the lookup and the assignment in one cohesive operation.

Setup guide

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

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

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

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Common questions about Hiver MCP in Mastra AI

Mastra AI includes built-in retry logic. If a network blip hits `update_thread_status`, the workflow engine handles the backoff automatically.

Yes. Agents use `create_shared_draft` to write replies. You keep a human-in-the-loop by requiring approval before the agent finalizes the action.

It is. You can chain `list_shared_inboxes` into `list_inbox_conversations` as part of a single agentic process within your Mastra AI codebase.

Run the `test_hiver_auth` tool in your agent's initial setup phase. It confirms your credentials are valid before the workflow starts.

Your email content is processed in memory during the agent's execution. We store nothing, and your Hiver API token stays encrypted within the Vinkius infrastructure.

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