How to Use the Curator.io MCP in Mastra AI

Q: Can I require manual approval before modifying feed configurations?

Yes, you can use the requireToolApproval flag on sensitive tools. This ensures a human must review the action before the agent updates any moderation settings.

Build automated social moderation workflows using Mastra AI to manage your Curator.io feeds with conditional branching.

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Connect Curator.io MCP to Mastra AI

Create your Vinkius account to connect Curator.io 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 Curator.io with Mastra AI

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Build Resilient Workflows with this MCP Server

Querying `list_social_feeds` lets your Mastra AI agent check the health of every active channel without manual intervention. By scheduling this workflow, you automate routine feed audits. If a feed returns unexpected metrics, the workflow triggers a check via `get_feed_post_count` to verify if content ingestion has stalled. The built-in retry mechanism handles transient API errors gracefully, so your monitoring scripts don't fail due to temporary network hiccups.

Automate Moderation Rule Updates in Mastra AI

Running `list_moderation_rules` allows your workflow to inspect current filters and flag suspicious posts retrieved via `list_feed_posts` for manual review. You can construct a routine that monitors your brand's sentiment and automatically updates your blocklists using this MCP Server. Because Mastra AI supports human-in-the-loop approval, you can configure the system to pause execution when a rule conflict occurs. The workflow waits for a team member to approve the change before resuming its automated moderation cycle.

Self-Healing Social Connection Audits

Executing `list_social_connections` lets your agent verify that all linked profiles remain active and authorized. When a social platform updates its API, connections can break without warning. If the agent detects a disconnected account, it queries `get_account_details` to check if you have hit your plan limits. This automated triage saves hours of manual troubleshooting by pointing your engineering team directly to the root cause.

Setup guide

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

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

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

Instantiate the MCP client using the Vinkius endpoint, then call `mcpClient.listTools()` to retrieve the available functions. You can then spread these tools directly into your Mastra agent configuration block.

Yes, you can design workflows that branch based on the output of `get_feed_details`. For example, if a feed is flagged as inactive, you can branch to trigger an alert instead of running post queries.

The framework features automatic retries with exponential backoff. If your agent hits a rate limit while calling `list_feed_posts`, Mastra will back off and retry the request automatically.

Yes, you can use the `requireToolApproval` flag on sensitive tools. This ensures a human must review the action before the agent updates any moderation settings.

Your data is protected by Vinkius's zero-trust sandbox architecture, which isolates every tool execution in a temporary V8 container. No moderation rules or social media posts are cached on the server, ensuring your configuration remains completely private.

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