How to Use the Convai MCP in Mastra AI

Q: How does the framework handle API retries when updating characters?

Mastra has built-in exponential backoff. If updatecharacter hits a rate limit or network glitch, the workflow automatically pauses and retries the call until it succeeds.

Q: How secure are my game lore documents and conversation transcripts in Mastra AI?

All files handled by uploadknowledgebank and transcripts analyzed by evaluateconversation are processed inside isolated, ephemeral V8 sandboxes on Vinkius. Your data is never cached or stored on the Vinkius platform, keeping your proprietary game IP safe.

Build self-healing, multi-step workflows to manage your Convai characters and narrative triggers with Mastra AI.

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Connect Convai MCP to Mastra AI

Create your Vinkius account to connect Convai 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 Convai with Mastra AI

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Automate character design with Mastra AI workflows

This server executes `generate_backstory` and `create_character` inside automated pipelines to deploy game characters without writing boilerplate code. If the backstory doesn't fit your game's content guidelines, Mastra can branch the workflow to rewrite the prompt. You get a reliable pipeline that outputs fully configured game characters every single time.

Human-in-the-loop transcript evaluation using this MCP Server

This server runs `evaluate_conversation` to analyze player logs and find where your NPCs are breaking character. Mastra lets you set up approval steps via requireToolApproval so a human moderator can review flagged logs before any narrative changes go live. If a chat session gets flagged, the workflow can automatically trigger edit_narrative_section to patch the character's knowledge base.

Dynamic knowledge bank syncing

This server calls `update_knowledge_bank` and `list_knowledge_bank` to keep your game's lore synced with external databases. Mastra's built-in scheduler runs these sync jobs, handles retries, and deploys the agents to any cloud with a single command via this MCP integration. Your agents use list_knowledge_bank to verify what information the NPC currently holds.

Setup guide

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

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

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

Install @mastra/mcp@latest and initialize a new MCP client pointing to your Vinkius URL. Then, call listTools() and spread those tools directly into your Mastra agent configuration.

Yes, Mastra's workflow engine lets you write conditional branches based on tool outputs. For example, if create_narrative_trigger fails, the workflow can automatically retry or alert your game admin.

You can enable requireToolApproval on critical actions like delete_character or update_knowledge_bank. This pauses the agent's execution until an admin approves the deletion or update.

Mastra has built-in exponential backoff. If update_character hits a rate limit or network glitch, the workflow automatically pauses and retries the call until it succeeds.

All files handled by upload_knowledge_bank and transcripts analyzed by evaluate_conversation are processed inside isolated, ephemeral V8 sandboxes on Vinkius. Your data is never cached or stored on the Vinkius platform, keeping your proprietary game IP safe.

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