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How to Use the BlogIn MCP in Mastra AI

Build complex internal workflows for BlogIn using the Mastra AI framework.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect BlogIn MCP to Mastra AI

Create your Vinkius account to connect BlogIn 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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Connect BlogIn to Mastra AI workflows

Add `list_posts` and `list_internal_pages` to your agents to build automated research flows. Your agents read the wiki to answer complex internal questions. Define your workflow steps in Mastra and let the MCP Server handle the heavy lifting. If a call fails, the framework automatically retries the request.

Automate team communication

Use `create_internal_post` to let your agents draft updates based on project milestones. You stay in the loop without manual typing. Set up a trigger that checks `list_team_members` before sending notifications. This ensures the right people get the message every time.

Organize knowledge automatically

Fetch categories with `list_categories` to sort incoming data into your Mastra agent memory. You keep your team knowledge structured without manual tagging. Pull specific post details using `get_post_details` when an agent needs context. The agent parses the content and decides the next action.

Setup guide

Set up BlogIn 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. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All BlogIn tools become native Mastra tools.

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

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by BlogIn. 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 BlogIn MCP in Mastra AI

You add the server URL to your agent configuration. The framework then auto-detects the tools and makes them available for your workflow steps.
Yes. You can build a workflow that calls `create_internal_post` once a task in your pipeline reaches a certain status.
You can enable tool approval in your agent settings. This forces a manual check before the server executes any write operation.
Use the built-in retry logic in your workflow engine. You can define exponential backoff to handle temporary API rate limits.
All post titles and user metadata are encrypted in transit. Vinkius isolates your session, so your internal content stays private to your agents.

Start using the BlogIn MCP today

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