How to Use the Dev.to (Forem) MCP in Mastra AI

Q: How does Mastra AI connect to the Dev.to (Forem) MCP server?

In your Mastra AI agent definition, you instantiate an MCPClient and pass your Vinkius server URL. Mastra then fetches the available tools like createarticle and makes them available to your agent's workflow engine.

Q: Can I manage my organization's users on Dev.to with this?

You can list them. The listorgusers tool lets your agent get a full list of members in your organization. This is useful for building reports or auditing access, but the toolset doesn't support adding or removing users.

Q: What about the privacy of my Dev.to article drafts and user data?

Your data, like article drafts or user lists from listorgusers, is processed on isolated Vinkius servers. With Mastra AI's requireToolApproval, you add another security layer, ensuring that sensitive write operations like createarticle don't execute without explicit human consent.

Build resilient content automation workflows for Dev.to using Mastra AI's TypeScript-native agent framework.

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Connect Dev.to (Forem) MCP to Mastra AI

Create your Vinkius account to connect Dev.to (Forem) 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 Dev.to (Forem) with Mastra AI

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Create Unbreakable Content Pipelines

This isn't just about posting an article. It's about building a workflow that survives errors. With Mastra AI, you can chain Dev.to tools with conditional logic. For instance, try to `create_article`, and if it fails because the slug already exists, have the workflow automatically pivot to using `update_article` on the existing post. This MCP server gives your agent the basic operations. Mastra AI provides the intelligence to connect them. You can build a multi-step process: `list_my_articles` to check for duplicates, then `create_article` to post, and finally, notify a Slack channel. Automatic retries are built-in, so temporary network issues won't kill your entire run.

Human-in-the-Loop Content Moderation

Don't give an agent the keys to the kingdom without oversight. Mastra AI's `requireToolApproval` feature is a perfect match for this MCP server. You can build a workflow where an agent drafts a post using `create_article`, but it pauses for human approval before actually publishing. This is critical for actions like `update_article` or `unpublish_article`. The agent can flag an article for review based on some logic, but a human gets the final say. It's the right way to automate without risking accidental deletion or publication of sensitive drafts.

Automated Content Auditing and Reporting

Use Mastra AI to build scheduled jobs that audit your Dev.to presence. A workflow could run daily, use `list_org_articles` to get all posts, then loop through each one with `get_article_by_id` to check for broken links or outdated information. You can also track your team's activity. A weekly workflow could use `list_org_users` to get the current member list and then `list_my_articles` for each user to generate a report on who published what. It's set-and-forget reporting for your developer advocacy team.

Setup guide

Set up Dev.to (Forem) 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 Dev.to (Forem) 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: "devto-forem-mcp-client",
  servers: {
    "devto-forem-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Dev.to (Forem) 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 Dev.to (Forem). 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 Dev.to (Forem) MCP in Mastra AI

In your Mastra AI agent definition, you instantiate an `MCPClient` and pass your Vinkius server URL. Mastra then fetches the available tools like `create_article` and makes them available to your agent's workflow engine.

Yes, that's a core use case. You can configure your Mastra agent with `requireToolApproval`. When the agent tries to use the `create_article` tool, the workflow will pause and wait for you to approve or deny the action.

Mastra AI has built-in error handling and retry logic. You can define conditional branches in your workflow. For example, if `update_article` returns an error, you can have the agent try again later or send a notification to an admin.

You can list them. The `list_org_users` tool lets your agent get a full list of members in your organization. This is useful for building reports or auditing access, but the toolset doesn't support adding or removing users.

Your data, like article drafts or user lists from `list_org_users`, is processed on isolated Vinkius servers. With Mastra AI's `requireToolApproval`, you add another security layer, ensuring that sensitive write operations like `create_article` don't execute without explicit human consent.

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