How to Use the Kitetags MCP in Mastra AI

Q: Can I require human approval before Kitetags deletes a campaign group in Mastra AI?

Yes. You can set the requireToolApproval flag on sensitive tools like deletegroup or deletetag. This pauses the Mastra AI workflow and alerts your team before any data gets wiped.

Q: What is the best way to list all active tags?

Use listtags to fetch your stored hashtags with pagination. Your agent can loop through these records to audit performance metrics across all active campaigns.

Build self-healing social media tag pipelines with the Kitetags MCP Server and Mastra AI.

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Connect Kitetags MCP to Mastra AI

Create your Vinkius account to connect Kitetags 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 Kitetags with Mastra AI

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Run automated tag discovery with Mastra AI

The `search_tags` tool scans social platforms for emerging TikTok and Instagram trends. Your Mastra AI agent triggers this tool on a schedule to capture high-velocity tags before your competitors do. If the initial API call fails due to platform rate limits, the framework triggers automatic retries with exponential backoff. This ensures your workflow never drops critical trend data during high-traffic windows.

Build conditional hashtag groups on the fly

The `create_group` tool sets up clean categories for targeted marketing campaigns. Your workflow uses `get_tag_analytics` to evaluate performance, then branches conditionally depending on the results. When a tag meets your target reach threshold, the agent calls `create_tag` to save it. If the metrics look weak, the workflow routes the data to a review queue instead of adding it to your active campaigns.

Maintain pipeline uptime with active status checks

The `check_kitetags_status` tool verifies your connection to the social data layers. This MCP tool ensures your automated workflows run this check before executing heavy analytical tasks to prevent wasted execution cycles. If the check returns an error, Mastra routes your workflow to a fallback path. This keeps your production system running without manual debugging or unexpected downtime.

Setup guide

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

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

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

Initialize the client using your Vinkius SSE or HTTP URL. This MCP configuration lets you call `listTools` on the client and spread the resulting tools directly into your agent definition.

Yes. You can set the `requireToolApproval` flag on sensitive tools like `delete_group` or `delete_tag`. This pauses the Mastra AI workflow and alerts your team before any data gets wiped.

The underlying APIs have strict limits, but Mastra handles this with built-in retry logic. If `get_tag_analytics` hits a rate limit, the MCP server interface backs off and retries without failing the entire workflow run.

Use `list_tags` to fetch your stored hashtags with pagination. Your agent can loop through these records to audit performance metrics across all active campaigns.

Your custom hashtag groups and trend analytics are processed within an isolated V8 sandbox on Vinkius. No raw social credentials or private account data are ever stored or exposed during these checks.

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