How to Use the Wiki.js MCP in OpenAI Agents SDK
Build production-grade knowledge bases with OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Wiki.js MCP to OpenAI Agents SDK
Create your Vinkius account to connect Wiki.js to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Manage Wiki pages from your agent.
The `create_page` tool lets your AI client build new documentation articles right in the Wiki.js instance. Your agent doesn't just suggest content; it actually makes the page appear, saving you manual steps. You can also use `update_page` to fix old documents or add revisions after initial drafting. This keeps your knowledge base accurate and current without needing a human to click buttons.
Search and list all Wiki content.
Need to know what's already written? The `list_pages` tool shows every page path, giving you a full overview of your documentation structure. When that isn't enough, the `search_pages` function finds specific keywords across all content. This means your agent can quickly confirm if a topic exists or pull up related pages before starting a new write-up.
Control and clean up documentation.
Sometimes you'll draft something that never sees the light of day. The `delete_page` tool lets your agent remove old, unused drafts or deprecated sections safely. It keeps your Wiki.js tidy. Furthermore, if a page path needs fixing entirely, you can use `get_page` to pull the current content first, verifying exactly what's there before any changes.
Set up Wiki.js MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Wiki.js tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Wiki.js tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Wiki.js tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Wiki.js Agent",
instructions="You have access to Wiki.js tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Wiki.js. 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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