Can the AI accurately recreate the folder structure of my vault?

Yes. When the model invokes `list_navigation`, it downloads the systematic JSON map of the entire public vault, thereby allowing it to understand the relationships and physical structure of your folders perfectly.

Does `get_file` automatically render complex Markdown components?

No rendering is performed on our end. The `get_file` tool returns pure raw Markdown (including frontmatter and obsidian syntax). Fortunately, LLMs (like Claude) are exceptionally adept at reading and reasoning over raw Markdown text structures.

If my Published site is private and requires a password, does it still work?

Yes, it works gracefully. If you configured Obsidian Publish with restricted read access, you can manually inject a persistent token into the setup, giving your AI agent the clearance to read securely behind the authentication wall.

Obsidian Publish MCP Server for OpenAI Agents SDK 5 tools — connect in under 2 minutes

Name: Obsidian Publish
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 5 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Obsidian Publish through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Obsidian Publish Assistant",
            instructions=(
                "You help users interact with Obsidian Publish. "
                "You have access to 5 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Obsidian Publish"
        )
        print(result.final_output)

asyncio.run(main())

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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 OpenAI Agents SDK auto-discovers all 5 tools from Obsidian Publish through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Obsidian Publish, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Obsidian Publish MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 5 tools from Obsidian Publish

Why Use OpenAI Agents SDK with the Obsidian Publish MCP Server

OpenAI Agents SDK provides unique advantages when paired with Obsidian Publish through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Obsidian Publish + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Obsidian Publish MCP Server delivers measurable value.

Automated workflows: build agents that query Obsidian Publish, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Obsidian Publish, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Obsidian Publish tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Obsidian Publish to resolve tickets, look up records, and update statuses without human intervention

Obsidian Publish MCP Tools for OpenAI Agents SDK (5)

These 5 tools become available when you connect Obsidian Publish to OpenAI Agents SDK via MCP:

get_file

Retrieve exact textual file content and binary assets

get_metadata

Extract internal creation hashes mapping a specific Markdown page

list_files

List all explicitly published raw file paths across the Obsidian workspace

list_navigation

Visualize structurally formatted Markdown navigation trees

site_info

Identify global configuration and styling mapping the site

Example Prompts for Obsidian Publish in OpenAI Agents SDK

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

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

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

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

Troubleshooting Obsidian Publish MCP Server with OpenAI Agents SDK

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

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Obsidian Publish + OpenAI Agents SDK FAQ

Common questions about integrating Obsidian Publish MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.