Document360 MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Document360 through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="Document360 Assistant",
instructions=(
"You help users interact with Document360. "
"You have access to 7 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Document360"
)
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 Document360 MCP Server
Connect your Document360 portal to any AI agent and take full control of your enterprise knowledge base and documentation workflows through natural conversation.
The OpenAI Agents SDK auto-discovers all 7 tools from Document360 through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Document360, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Project & Version Navigation — Analyze specific localized versions mapping exactly which documentation segments exist globally across your portal
- Categorical Orchestration — Extract explicitly attached categories bounding physical groupings active inside specific project versions
- Article Management — Perform structural extraction of explicit document lists and retrieve raw content texts securely via unique IDs
- Semantic Search — Execute immediate semantic queries discovering strictly mapped textual responses active inside your knowledge base
- Team & Author Oversight — Retrieve complex RBAC profiles outlining registered authors physically mapped against workspace boundaries
- Analytics & Traffic Auditing — Read available metrics exposing explicit traffic ranges and visitor interaction stamps to monitor KB performance
The Document360 MCP Server exposes 7 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 Document360 to OpenAI Agents SDK via MCP
Follow these steps to integrate the Document360 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 7 tools from Document360
Why Use OpenAI Agents SDK with the Document360 MCP Server
OpenAI Agents SDK provides unique advantages when paired with Document360 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
Document360 + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Document360 MCP Server delivers measurable value.
Automated workflows: build agents that query Document360, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Document360, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Document360 tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Document360 to resolve tickets, look up records, and update statuses without human intervention
Document360 MCP Tools for OpenAI Agents SDK (7)
These 7 tools become available when you connect Document360 to OpenAI Agents SDK via MCP:
analytics
Get knowledge base analytics
get_article
Get article content
list_articles
List articles in a category
list_categories
List categories in a version
list_projects
List project versions
list_team
List team accounts
search
Search articles
Example Prompts for Document360 in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Document360 immediately.
"List all versions for my Document360 project"
"Search for 'Single Sign On setup' in my KB"
"Show me knowledge base analytics from the last 30 days"
Troubleshooting Document360 MCP Server with OpenAI Agents SDK
Common issues when connecting Document360 to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Document360 + OpenAI Agents SDK FAQ
Common questions about integrating Document360 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?
Connect Document360 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Document360 to OpenAI Agents SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.
