How do I find my Instance ZUID?

You can list all your accessible instances using the `list_zesty_instances` tool, or find it in your Zesty.io URL (it starts with `8-`).

Can I see all content items for a particular model?

Yes, use the `list_content_items` tool with the unique ZUID of the model (starts with `6-`) to retrieve all associated entries.

Is it possible to update content via the agent?

Absolutely. Use the `update_content_item` tool by providing the Model ZUID, the Item ZUID, and a JSON object containing the fields you wish to modify.

Zesty.io MCP Server for AutoGen 8 tools — connect in under 2 minutes

Name: Zesty.io
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 8 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Zesty.io as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.

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 autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="zestyio_agent",
            tools=tools,
            system_message=(
                "You help users with Zesty.io. "
                "8 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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* 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 Zesty.io MCP Server

Connect your Zesty.io account to any AI agent to streamline your headless CMS operations. This MCP server enables your agent to interact with instances, content models, and data entries (items) directly from natural language.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Zesty.io tools. Connect 8 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

What you can do

Instance Oversight — List all Zesty.io instances associated with your account and retrieve their metadata
Schema Management — List content models to understand your data structures and identify Model ZUIDs
Content Operations — List, retrieve, create, and update content items within specific models
Technical Auditing — Access instance settings and technical metadata for any of your properties
Workflow Automation — Delete content items and maintain your CMS hierarchy via natural language commands

The Zesty.io MCP Server exposes 8 tools through the Vinkius. Connect it to AutoGen 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 Zesty.io to AutoGen via MCP

Follow these steps to integrate the Zesty.io MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 8 tools from Zesty.io automatically

Why Use AutoGen with the Zesty.io MCP Server

AutoGen provides unique advantages when paired with Zesty.io through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Zesty.io tools to solve complex tasks

Role-based architecture lets you assign Zesty.io tool access to specific agents — a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Zesty.io tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Zesty.io tool responses in an isolated environment

Zesty.io + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Zesty.io MCP Server delivers measurable value.

Collaborative analysis: one agent queries Zesty.io while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Zesty.io, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Zesty.io data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Zesty.io responses in a sandboxed execution environment

Zesty.io MCP Tools for AutoGen (8)

These 8 tools become available when you connect Zesty.io to AutoGen via MCP:

create_content_item

Requires a JSON object with field values. Create a new content item

delete_content_item

Delete a content item

get_content_item

Get details for a specific content item

get_instance_settings

Get configuration settings for the instance

list_content_items

List content items for a specific model

list_content_models

Use this to identify Model ZUIDs. List all content models for the current instance

list_zesty_instances

List all Zesty.io instances associated with the account

update_content_item

Update an existing content item

Example Prompts for Zesty.io in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Zesty.io immediately.

"List all Zesty instances I have access to."

"Show me the content items for the 'Press Releases' model (ZUID: '6-ghi-987')."

"Update the title of content item '7-jkl-654' in model '6-ghi-987' to '2024 Product Roadmap'."

Troubleshooting Zesty.io MCP Server with AutoGen

Common issues when connecting Zesty.io to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Zesty.io + AutoGen FAQ

Common questions about integrating Zesty.io MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Zesty.io tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.