How to Use the Typefully MCP in Mastra AI

Q: Can I get draft details using Typefully and the Mastra AI?

Yes, running getdraftdetails gives your agent all the necessary information on a specific piece of content. This data is crucial for building multi-step publishing logic.

Q: Does Typefully support scheduling with the Mastra AI?

Absolutely. The schedulecontent tool is fully supported. You can build a workflow that drafts content, waits for approval, and then schedules it weeks out.

Q: Is listing social accounts possible with Typefully and the Mastra AI?

You run listsocialaccounts through your agent. If one account check fails, Mastra AI's built-in retry logic ensures you still get a list of all successful connections.

Build complex publishing pipelines with Typefully and Mastra AI.

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Create your Vinkius account to connect Typefully 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 Typefully with Mastra AI

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Handling Draft Creation

The `create_draft` tool lets your agent write new content right into the system. This is the starting point for any campaign. If you need to change something later, use `update_draft`. The workflow engine manages this modification and ensures the draft record is properly changed.

Publishing with Retries

Need content out immediately? You call `publish_immediately`. Mastra AI's strength here is that if the connection fails, it will automatically retry publishing until it succeeds. Want to check what social platforms you’re using? The agent runs `list_social_accounts` and handles the result, even if multiple tools fail over.

Full Content Lifecycle Management

You can grab all existing drafts by running `list_drafts`. This gives your workflow a full view of what's available. And when you’re done with the content, use `delete_draft` to clean up. The framework handles these multi-step actions gracefully and reliably.

Setup guide

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

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

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

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Common questions about Typefully MCP in Mastra AI

Mastra AI builds complex, reliable workflows around Typefully tools. It manages steps like drafting content, then scheduling it, and retrying publishing if there are hiccups.

Yes, running `get_draft_details` gives your agent all the necessary information on a specific piece of content. This data is crucial for building multi-step publishing logic.

The server handles content drafts (text and IDs) and user profile information (`get_user_profile`). Mastra AI ensures these operations complete, even if an intermediate step fails.

Absolutely. The `schedule_content` tool is fully supported. You can build a workflow that drafts content, waits for approval, and then schedules it weeks out.

You run `list_social_accounts` through your agent. If one account check fails, Mastra AI's built-in retry logic ensures you still get a list of all successful connections.

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