Amplience MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Amplience 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
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="Amplience Assistant",
instructions=(
"You help users interact with Amplience. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Amplience"
)
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 Amplience MCP Server
Link your Amplience headless CMS to any intelligent AI agent to completely rethink how you handle your enterprise content architecture, deploying components natively through standard conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Amplience through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Amplience, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Discover Asset Hierarchies — Freely list top-level Hubs, target specific Repositories, and fetch internal Folders to help your AI inherently understand where every graphic and article lives.
- Content Retrieval — Paginate through dynamic content items, safely extracting complete metadata alongside current active schemas and validation rules.
- Edit & Create Structure — Give the agent full permission to push correctly strictly-typed JSON payloads back into the system, generating or modifying blog entries and product metadata.
- Manage Deployments — Permanently execute deletions (if revision locks permit) or instruct the system to fire a specific content configuration directly over to the edge delivery API to hit the live website.
The Amplience MCP Server exposes 10 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 Amplience to OpenAI Agents SDK via MCP
Follow these steps to integrate the Amplience 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 10 tools from Amplience
Why Use OpenAI Agents SDK with the Amplience MCP Server
OpenAI Agents SDK provides unique advantages when paired with Amplience 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
Amplience + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Amplience MCP Server delivers measurable value.
Automated workflows: build agents that query Amplience, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Amplience, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Amplience tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Amplience to resolve tickets, look up records, and update statuses without human intervention
Amplience MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Amplience to OpenAI Agents SDK via MCP:
create_content_item
Create a new structured content item adhering to a schema inside a folder
delete_content_item
Requires version validation before deletion. Permanently delete a content item from the repository database
get_content_item
Retrieve a specific content item configuration and its schema revision lock
get_delivery_content
Retrieve the exact structural matching verifying Delivery CDN blocks
list_content_items
Retrieve paginated content items from a specific repository
list_folders
List all folders organizing content in a given repository
list_hubs
Essential for retrieving the active workspace. List all accessible Amplience Hubs (environments)
list_repositories
List all content repositories within a specific Hub
publish_content_item
Publish a specific content item version to the live delivery CDN
update_content_item
Update an existing content item data structure matching its current schema
Example Prompts for Amplience in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Amplience immediately.
"Identify all active repositories present inside my default Amplience Hub."
"Pull the structural metadata (schema lock and payload) of item '5tYv92'."
"Publish the newly edited Content '5tYv92' to the global live network."
Troubleshooting Amplience MCP Server with OpenAI Agents SDK
Common issues when connecting Amplience to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Amplience + OpenAI Agents SDK FAQ
Common questions about integrating Amplience 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 Amplience 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 Amplience to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.