How to Use the Keepcon MCP in Mastra AI

Q: How do I install Keepcon for Mastra AI?

Run npm install @mastra/mcp@latest. Spread the MCP tools directly into your agent's tool array during initialization.

Q: How do I require human approval for Keepcon moderation in Mastra AI?

Set requireToolApproval: true on the moderation tool. The workflow pauses execution until a human reviews the text.

Build resilient content moderation workflows in Mastra AI using Keepcon's semantic analysis tools.

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Connect Keepcon MCP to Mastra AI

Create your Vinkius account to connect Keepcon 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 Keepcon with Mastra AI

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Claude

Perplexity

Build reliable pipelines with the Keepcon MCP Server.

The `import_batch` tool sends bulk data to Keepcon for semantic analysis. Mastra AI handles the network failures, applying exponential backoff if the MCP Server drops the connection. Your workflow branches based on the response. If the batch succeeds, the system automatically triggers `export_results`. If it fails, Mastra routes the error to an admin notification channel.

Automate profile investigations.

The `get_profile` tool fetches specific user histories based on their internal ID. When a user gets flagged, your Mastra agent automatically pulls their record via the MCP protocol before taking action. If you only have a Twitter handle, the agent calls `get_profile_by_social_id` first. You then use `list_profiles` to map out connected accounts and ban entire networks of bad actors at once.

Train the semantic engine on failure.

The `moderate_content` tool evaluates text and returns a strict approve or reject decision. Sometimes the engine flags a false positive on a legitimate support request. You configure Mastra to require human approval for ambiguous cases. When a human overrides the decision, the workflow fires `submit_feedback` to correct the engine's future behavior.

Setup guide

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

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

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

Run `npm install @mastra/mcp@latest`. Spread the MCP tools directly into your agent's tool array during initialization.

Yes. If the server hits a timeout, the framework's built-in workflow engine retries the request with exponential backoff.

Set `requireToolApproval: true` on the moderation tool. The workflow pauses execution until a human reviews the text.

You parse the JSON output from the engine. If the tags indicate severe violations, the workflow routes to an immediate ban sequence.

The integration touches raw text submissions and associated user profiles. We route all traffic through a zero-trust architecture, meaning no persistent data remains on the node after the execution completes.

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