How to Use the Tactiq MCP in Mastra AI

Q: How does Mastra AI check the status using Tactiq?

It uses checktactiqstatus. This verifies that the underlying connection is active, which prevents your entire multi-step workflow from failing unexpectedly.

Q: Can I run a search query with Tactiq and Mastra AI?

You can use searchtranscripts to find specific data points across all meetings. This result set then feeds into the next step of your automated workflow for processing.

Q: Does MCP Server support complex workflows with Tactiq and Mastra AI?

Absolutely. By combining tools like getmeeting and listinsights, you build conditional branches, allowing the agent to take different actions based on the data retrieved.

Q: Which tool gives me a list of all meetings with Tactiq and Mastra AI?

The listmeetings tool provides the necessary directory. This is often the starting point for triggering a sequence of actions in your automated process.

Build resilient, multi-step automation with Tactiq using Mastra AI.

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Setup Tactiq with Mastra AI

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Workflow Health Checks via MCP Server

The `check_tactiq_status` tool confirms the API connectivity before any workflow runs. You can't afford to send a complex multi-step process if the connection is down. This check acts as a reliable gatekeeper, letting your Mastra AI agent know it can proceed with confidence.

Handling Data Persistence for Mastra AI

Need to pass data from one step to the next? Use `get_transcript` or `list_transcripts`. These tools provide the raw material your workflow needs to analyze and branch on. If you need to find specific information, running a search via `search_transcripts` gives you targeted input for subsequent steps in your process.

Extracting Key Decisions with Mastra AI

The `get_action_items` tool extracts clear tasks that need to be handled. Since this is critical data, it's perfect for a workflow that needs to trigger notifications or create tickets. For deeper analysis, running `list_insights` gives your agent multiple potential decision points to branch on.

Setup guide

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

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

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

It uses `check_tactiq_status`. This verifies that the underlying connection is active, which prevents your entire multi-step workflow from failing unexpectedly.

You can use `search_transcripts` to find specific data points across all meetings. This result set then feeds into the next step of your automated workflow for processing.

Absolutely. By combining tools like `get_meeting` and `list_insights`, you build conditional branches, allowing the agent to take different actions based on the data retrieved.

The `list_meetings` tool provides the necessary directory. This is often the starting point for triggering a sequence of actions in your automated process.

It processes meeting transcripts and summaries. Mastra AI uses these text types to make decisions, so treating all conversational data as sensitive is necessary.

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