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Obsidian Publish MCP Server for Vercel AI SDK 5 tools — connect in under 2 minutes

Built by Vinkius GDPR 5 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Obsidian Publish through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Obsidian Publish, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Obsidian Publish
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Obsidian Publish MCP Server

Connect your Obsidian Publish environment to your AI agent and construct an intelligent oracle that reads smoothly from your personal or corporate markdown knowledge base.

The Vercel AI SDK gives every Obsidian Publish tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Vault Crawling — Programmatically fetch your entire published vault structure utilizing list_files and list_navigation to build contextual trees.
  • Direct Note Access — Execute get_file to stream the complete raw markdown contents of any note directly into your chat workflow for fast summarization.
  • Metadata Operations — Use get_metadata to retrieve frontmatter properties, tags, and internal link logic mapped by Obsidian.
  • Site Auditing — Easily ping site_info to ensure connectivity and verify the deployment status of your target Obsidian publish endpoint.

The Obsidian Publish MCP Server exposes 5 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Obsidian Publish to Vercel AI SDK via MCP

Follow these steps to integrate the Obsidian Publish MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 5 tools from Obsidian Publish and passes them to the LLM

Why Use Vercel AI SDK with the Obsidian Publish MCP Server

Vercel AI SDK provides unique advantages when paired with Obsidian Publish through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Obsidian Publish integration everywhere

03

Built-in streaming UI primitives let you display Obsidian Publish tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Obsidian Publish + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Obsidian Publish MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Obsidian Publish in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Obsidian Publish tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Obsidian Publish capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Obsidian Publish through natural language queries

Obsidian Publish MCP Tools for Vercel AI SDK (5)

These 5 tools become available when you connect Obsidian Publish to Vercel AI SDK via MCP:

01

get_file

Retrieve exact textual file content and binary assets

02

get_metadata

Extract internal creation hashes mapping a specific Markdown page

03

list_files

List all explicitly published raw file paths across the Obsidian workspace

04

list_navigation

Visualize structurally formatted Markdown navigation trees

05

site_info

Identify global configuration and styling mapping the site

Example Prompts for Obsidian Publish in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Obsidian Publish immediately.

01

"Check the vault and list all the files currently publicly available."

02

"Read the contents of 'System Requirements 2026.md'."

03

"Fetch the metadata and tags applied to my 'Inbox' note."

Troubleshooting Obsidian Publish MCP Server with Vercel AI SDK

Common issues when connecting Obsidian Publish to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Obsidian Publish + Vercel AI SDK FAQ

Common questions about integrating Obsidian Publish MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Obsidian Publish to Vercel AI SDK

Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.