Can my agent create new entries in Contentstack?

Yes. Use the 'create_cms_entry' tool. Provide the content type UID and a JSON object containing the entry fields. The agent will orchestrate the absolute explicit bindings to generate a new draft in your stack.

How do I publish an entry to multiple environments via chat?

Use the 'publish_to_environment' tool. Provide the content type UID, the entry UID, and a comma-separated list of environments (e.g., 'production,staging'). The agent will trigger the exact sequence to push your data live.

Can I inspect the fields and validation rules of a content type?

Absolutely. The 'get_schema_details' tool retrieves the structural extraction of properties for a specific content type UID, showing you exactly which fields are required and what data the database expects.

Contentstack MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Contentstack
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Contentstack 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="Contentstack Assistant",
            instructions=(
                "You help users interact with Contentstack. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Contentstack"
        )
        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 Contentstack MCP Server

Connect your Contentstack account to any AI agent and take full control of your agentic experience platform and headless CMS through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from Contentstack through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Contentstack, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Entry Orchestration — List and retrieve document rows bound to specific content types and create new drafts using purely formatted JSON attributes
Content Mutation — Safely update existing entries by overwriting schema blocks and substituting draft values through the Management API
Live Publishing — Trigger the exact publication sequence to push CMS data to specific environments (e.g., development, production, staging)
Schema Inspection — Enumerate global schemas and decode native boundaries to identify exactly what fields and validation rules the database expects
Media Management — Access global files and retrieve explicit media metadata, including original Contentstack URLs, to mitigate manual CDN scraping
Repository Cleanup — Irreversibly remove app nodes and delete live document rows to manage internal database allocations and clear quotas

The Contentstack 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 Contentstack to OpenAI Agents SDK via MCP

Follow these steps to integrate the Contentstack 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 Contentstack

Why Use OpenAI Agents SDK with the Contentstack MCP Server

OpenAI Agents SDK provides unique advantages when paired with Contentstack 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

Contentstack + OpenAI Agents SDK Use Cases

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

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

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

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

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

Contentstack MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Contentstack to OpenAI Agents SDK via MCP:

create_cms_entry

Provision a highly-available JSON Payload generating new Contentstack Drafts

get_media_asset

Retrieve the exact structural matching verifying explicit Media IDs

get_schema_details

Perform structural extraction of properties driving active Fields

get_single_entry

Retrieve explicit Cloud logging tracing explicit Entry UUIDs limitlessly

list_global_schemas

Enumerate explicitly attached structured rules exporting active Types

list_media_assets

Inspect deep internal arrays mitigating specific Picture limits

list_type_entries

Identify bounded routing spaces inside the Headless Contentstack CMS schemas

publish_to_environment

g., development, production). Dispatch an automated validation check routing CMS Data Live

update_cms_entry

Mutate global Web CRM boundaries substituting Draft values safely

wipe_cms_entry

Irreversibly vaporize explicit App nodes dropping live Document rows

Example Prompts for Contentstack in OpenAI Agents SDK

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

"List all entries for content type 'homepage'"

"Publish entry 'entry_456' of type 'blog_post' to production"

"Show me the details for content model 'product_schema'"

Troubleshooting Contentstack MCP Server with OpenAI Agents SDK

Common issues when connecting Contentstack 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.

Contentstack + OpenAI Agents SDK FAQ

Common questions about integrating Contentstack 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.