How to Use the Modash MCP in Mastra AI

Q: Can I filter searches by specific locations?

Yes, you use listlocations to find the correct geographical ID and pass it to searchtiktok. This ensures your agent only queries valid regions supported by the API.

Q: Where does the influencer audience data go when processed by Mastra?

All social platform data pulled via getyoutubereport is processed entirely in memory within Vinkius's secure, isolated V8 environment. No persistent logs of the creator's audience metrics are stored on our servers.

Build resilient influencer vetting workflows with Mastra AI and this managed MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Modash MCP to Mastra AI

Create your Vinkius account to connect Modash 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.

GDPR Free for Subscribers

Setup Modash with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automated Vetting Workflows in Mastra AI

`get_tiktok_report` acts as the primary data validator inside your Mastra AI state machine to flag synthetic engagement. The workflow engine automatically reruns the check if a network timeout occurs during the API call. You can set up conditional branching to route creators. If the engagement rate falls below your threshold, the agent automatically triggers a secondary check or marks the record for manual review.

Multi-Platform Discovery Pipelines

`search_youtube` scans for channels matching your parameters and passes the raw IDs directly to subsequent workflow steps. Mastra handles the data flow between discovery and deep analysis without custom glue code. You write the pipeline logic once and let this MCP Server handle the heavy lifting. The framework ensures that if a YouTube channel lookup fails, the TikTok or Instagram branches keep running.

Human-in-the-Loop Verification

`get_instagram_report` extracts detailed audience insights that you can hold for manual approval before saving to your database. Mastra AI pauses the execution state until a team member signs off on the creator's metrics. This prevents your system from automatically approving accounts with botted followers. You get the speed of automation with the safety of human oversight on expensive campaigns.

Setup guide

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

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Modash. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Modash now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Modash MCP in Mastra AI

You configure Mastra's built-in exponential backoff inside your workflow step definition. If `get_raw_profile` hits a rate limit, the MCP integration retries automatically without crashing your entire agent pipeline.

Yes, you can use Mastra AI's human-in-the-loop feature on steps running `search_instagram`. This stops your agent from burning through your API quota on broad, unvetted search queries.

You deploy your Mastra agent to any cloud provider and point it to your managed Vinkius HTTP endpoint. The server runs in a zero-trust sandbox, so you do not need to configure local drivers.

Yes, you use `list_locations` to find the correct geographical ID and pass it to `search_tiktok`. This ensures your agent only queries valid regions supported by the API.

All social platform data pulled via `get_youtube_report` is processed entirely in memory within Vinkius's secure, isolated V8 environment. No persistent logs of the creator's audience metrics are stored on our servers.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript