How to Use the Nicereply MCP in Mastra AI

Q: How do I connect Nicereply MCP tools to a Mastra AI agent?

Instantiate the MCPClient with your Vinkius server URL and pass the tools to your agent config. The agent automatically discovers tools like listresponses and getsurveystats. This lets your workflow engine make decisions based on live customer metrics.

Q: How does Mastra AI use Nicereply customer lists for routing?

Your workflow calls listcustomers to find the correct profile before routing a ticket. Mastra AI uses this data to check if the customer has a history of negative ratings. This ensures high-value, frustrated customers get routed to senior agents instantly.

Q: Can I require human approval before acting on feedback responses?

Yes, you can configure requireToolApproval in Mastra AI for sensitive tools like listresponses. This pauses the workflow until a manager reviews the feedback data. Once approved, the agent resumes its automated follow-up sequence.

Build resilient customer success workflows in Mastra AI using this Nicereply MCP Server to trigger automated follow-ups.

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Connect Nicereply MCP to Mastra AI

Create your Vinkius account to connect Nicereply 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 Nicereply with Mastra AI

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Automate bad review escalations in Mastra AI

Your workflow triggers `list_responses` to monitor incoming customer feedback for low scores. Mastra AI processes this list, running conditional logic to isolate negative ratings and flag them for immediate review. If a response falls below your threshold, the workflow triggers a slack alert or schedules a follow-up task. You get automatic retries out of the box, ensuring no bad rating slips through the cracks due to network hiccups.

Sync workspace users via Mastra AI workflows

The MCP Server lets you run `list_users` to map your current support agents to their respective Nicereply profiles. Mastra AI uses this agent list to balance follow-up workloads and assign bad reviews to the right team members. You can chain this tool with your internal database to keep agent profiles synchronized. It removes the manual overhead of updating agent listings across multiple customer service platforms.

Inspect specific surveys with conditional branching

Your agent invokes `get_survey` to fetch detailed configuration options for active feedback campaigns. Mastra AI inspects the survey type—whether it is CSAT, CES, or NPS—and branches the workflow accordingly. This means your automated follow-ups match the exact survey context. You won't send generic emails to customers who just filled out a highly specific product feedback form.

Setup guide

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

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

const result = await agent.generate(
  "List recent Nicereply 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 Nicereply. 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.

Why Choose Vinkius

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Common questions about Nicereply MCP in Mastra AI

Instantiate the `MCPClient` with your Vinkius server URL and pass the tools to your agent config. The agent automatically discovers tools like `list_responses` and `get_survey_stats`. This lets your workflow engine make decisions based on live customer metrics.

Yes, Mastra AI features a built-in workflow engine that handles automatic retries with exponential backoff. When your agent runs `get_survey_stats` through the MCP Server, any rate limit errors from Nicereply are handled gracefully without crashing your pipeline.

Your workflow calls `list_customers` to find the correct profile before routing a ticket. Mastra AI uses this data to check if the customer has a history of negative ratings. This ensures high-value, frustrated customers get routed to senior agents instantly.

Yes, you can configure `requireToolApproval` in Mastra AI for sensitive tools like `list_responses`. This pauses the workflow until a manager reviews the feedback data. Once approved, the agent resumes its automated follow-up sequence.

No, this MCP Server only reads rating values and survey metadata temporarily in memory. Vinkius executes the server in an ephemeral V8 sandbox that wipes all data after execution. Your API keys and customer information are never stored on disk.

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