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

Q: How do I use the Dev.to (Forem) MCP server with the Vercel AI SDK?

After installing @ai-sdk/mcp, you create an mcpClient pointing to your Vinkius endpoint URL. Pass the client's tools to generateText or streamText. The SDK handles the rest, turning API calls into streaming UI updates.

Q: Can I create new articles on Dev.to (Forem) from my Next.js app using the Vercel AI SDK?

Yes. Your agent can call the createarticle tool. You just need to provide the content, and the tool handles the API request to post it to your Dev.to account.

Q: Is it possible to list all my articles from Dev.to (Forem) in a Vercel AI SDK application?

Absolutely. The listmyarticles tool is designed for this. Your AI client calls it, and the MCP server returns a list of your posts, which you can then stream into your UI.

Q: What's the difference between getarticlebyid and getarticlebypath?

Use getarticlebyid when you have the numerical ID of a post, which is great for internal lookups. Use getarticlebypath when you have the author's username and the post's URL slug, which is better for fetching content based on user-friendly URLs.

Stream Dev.to content and user data directly into your Vercel AI SDK-powered UI, with no loading spinners.

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…and any MCP-compatible client

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Connect Dev.to (Forem) MCP to Vercel AI SDK

Create your Vinkius account to connect Dev.to (Forem) to Vercel AI SDK 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 Vercel AI SDK

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Build Live Content Dashboards

Use the Dev.to tools to pull article and user data that streams directly into your frontend. Your agent can call `list_articles` or `list_org_users`, and the Vercel AI SDK renders the results into your React or Next.js components as they arrive. No more waiting for a full API response to show something on screen. This is perfect for building internal dashboards or public-facing sites that feel incredibly fast. You can fetch post details with `get_article_by_id` and immediately display the title, then stream in the body. The user sees content appearing in real-time, which is a massive step up from the usual fetch-wait-render cycle.

Interactive Content Management with the AI SDK

Let your users manage their Dev.to content from your app. An agent can use `create_article` to submit a new draft, and your UI can show a success message the moment the API confirms it. It's a two-way street. You can also build an editing interface. The agent calls `get_article_by_id` to populate a form, and when the user hits save, it triggers `update_article`. For organization admins, you can even build tools that use `list_org_articles` and `unpublish_article` for quick moderation.

Read User and Organization Profiles

This MCP server isn't just for articles. You can build UIs that display rich user or organization data. Use `get_user` to pull a specific author's profile, or get the current logged-in user with `get_me`. For team-based applications, `list_org_users` is what you need. Stream a list of all members of a Dev.to organization directly into a table in your app. It's a simple way to build a team directory or an analytics dashboard right in your own UI.

Setup guide

Set up Dev.to (Forem) MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Dev.to (Forem) tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Dev.to (Forem) transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

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.

Why Choose Vinkius

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Common questions about Dev.to (Forem) MCP in Vercel AI SDK

After installing `@ai-sdk/mcp`, you create an `mcpClient` pointing to your Vinkius endpoint URL. Pass the client's tools to `generateText` or `streamText`. The SDK handles the rest, turning API calls into streaming UI updates.

Yes. Your agent can call the `create_article` tool. You just need to provide the content, and the tool handles the API request to post it to your Dev.to account.

Absolutely. The `list_my_articles` tool is designed for this. Your AI client calls it, and the MCP server returns a list of your posts, which you can then stream into your UI.

Use `get_article_by_id` when you have the numerical ID of a post, which is great for internal lookups. Use `get_article_by_path` when you have the author's username and the post's URL slug, which is better for fetching content based on user-friendly URLs.

Your article content and user profile data are passed through an ephemeral Vinkius server that runs in a zero-trust sandbox. The connection is secured over HTTPS, and Vinkius handles authenticating to the Dev.to API with your key, which is stored encrypted.

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