Wiki.js MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 6 tools to Create Page, Delete Page, Get Page, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Wiki.js through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this MCP Server for OpenAI Agents SDK
The Wiki.js MCP Server for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="Wiki.js Assistant",
instructions=(
"You help users interact with Wiki.js. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Wiki.js"
)
print(result.final_output)
asyncio.run(main())
* 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 Wiki.js MCP Server
Connect your Wiki.js instance to any AI agent and take full control of your internal knowledge base through natural conversation. This server allows you to interact with your documentation without leaving your chat interface.
The OpenAI Agents SDK auto-discovers all 6 tools from Wiki.js through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Wiki.js, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Page Management — Create new pages with full metadata, update existing content by ID, or delete outdated documentation.
- Search & Discovery — Search across your entire wiki for specific keywords or list all available pages to understand your knowledge structure.
- Content Retrieval — Fetch the raw content and metadata of any page using its URL path and locale.
- Flexible Editing — Support for different editor types and publishing statuses (published/private) directly via the API.
The Wiki.js MCP Server exposes 6 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 6 Wiki.js tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Wiki.js through Vinkius, your AI agent gets direct access to every tool listed below — spanning documentation, wiki, content-creation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create page on Wiki.js
Create a new Wiki.js page
Delete page on Wiki.js
Delete a Wiki.js page
Get page on Wiki.js
Fetch a Wiki.js page by path
List pages on Wiki.js
List all Wiki.js pages
Search pages on Wiki.js
Search for content in Wiki.js
Update page on Wiki.js
Update an existing Wiki.js page
Connect Wiki.js to OpenAI Agents SDK via MCP
Follow these steps to wire Wiki.js into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Wiki.js MCP Server
OpenAI Agents SDK provides unique advantages when paired with Wiki.js 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
Wiki.js + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Wiki.js MCP Server delivers measurable value.
Automated workflows: build agents that query Wiki.js, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Wiki.js, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Wiki.js tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Wiki.js to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Wiki.js in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Wiki.js immediately.
"Search for 'deployment guide' in our Wiki.js."
"Create a new markdown page at 'docs/api-v2' titled 'API v2 Reference'."
"List all the pages available in our wiki."
Troubleshooting Wiki.js MCP Server with OpenAI Agents SDK
Common issues when connecting Wiki.js to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Wiki.js + OpenAI Agents SDK FAQ
Common questions about integrating Wiki.js MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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