Zesty.io Connector for AI agents.
8 live capabilities
Manage your headless CMS content and models using natural language.
Waiting for input…
Why people use Zesty.io
Zesty.io for Headless CMS Content Management
With this Connector, you just tell your agent what needs to change. It handles the API calls to update your items or create new models. You get your content live without the manual friction.
What Vinkius changes
You get a natural language interface for your Zesty.io headless CMS.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Bulk updating website copy
A content manager needs to update 10 titles across different pages.
- Real-world use case 02
Finding specific Model ZUIDs
A developer needs to find a specific content model ID to test an API call.
- Real-world use case 03
Automating landing page creation
A growth engineer wants to launch a new campaign.
Complete set · 8capabilities
The complete Zesty.io capability set.
These are the exact actions your AI can choose when you ask it to work with Zesty.io.
01—04
4 capabilities in this set.
Part of 8 available through Zesty.io.
- 01 Capability
Create content item
Create a new content item using a JSON object for field values. This is useful for pushing new pages to your CMS.
- 02 Capability
Delete content item
Remove a specific content item from your model. Use this to quickly clean up outdated entries.
- 03 Capability
Get content item
Fetch all the details for a specific content item. This lets you see every field value in one place.
- 04 Capability
List zesty instances
See every Zesty.io instance linked to your account. Use this to audit which properties you have access to.
05—08
4 capabilities in this set.
Part of 8 available through Zesty.io.
- 05 Capability
List content items
Pull a list of content items for a specific model. This helps you see what's already live in a specific category.
- 06 Capability
List content models
Identify your content models and their corresponding ZUIDs. This is the best way to find the right IDs for your data.
- 07 Capability
Get instance settings
Retrieve the configuration settings for your specific instance. Use this to check your property's technical metadata.
- 08 Capability
Update content item
Modify the data for an existing content item. This allows you to fix typos or update titles without manual clicking.
Set up in minutes
One URL. Then ask Zesty.io to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Zesty.io from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_mcWeShaP0768SZnx3zRLKt58xev2FE9y4pXdF8ah/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Zesty.io, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Zesty.io for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_mcWeShaP0768SZnx3zRLKt58xev2FE9y4pXdF8ah/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Zesty.io URL.
- Step 03
Save and start
Save the connection and enable Zesty.io in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"zestyio": {
"url": "https://edge.vinkius.com/vk_preview_mcWeShaP0768SZnx3zRLKt58xev2FE9y4pXdF8ah/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Zesty.io
Open Agent mode in chat and ask: "Using Zesty.io, help me...". 8 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"zestyio": {
"url": "https://edge.vinkius.com/vk_preview_mcWeShaP0768SZnx3zRLKt58xev2FE9y4pXdF8ah/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Zesty.io
Ask Copilot: "Using Zesty.io, help me...". 8 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"zestyio": {
"url": "https://edge.vinkius.com/vk_preview_mcWeShaP0768SZnx3zRLKt58xev2FE9y4pXdF8ah/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Zesty.io
Open Cascade and ask: "Using Zesty.io, help me...". 8 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"zestyio": {
"url": "https://edge.vinkius.com/vk_preview_mcWeShaP0768SZnx3zRLKt58xev2FE9y4pXdF8ah/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Zesty.io
Ask Cline: "Using Zesty.io, help me...". 8 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add zestyio --transport http "https://edge.vinkius.com/vk_preview_mcWeShaP0768SZnx3zRLKt58xev2FE9y4pXdF8ah/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Zesty.io
Ask Claude: "Using Zesty.io, show me...". 8 tools are ready
Where the request belongs
Work Zesty.io can move forward.
This is for the content manager who's buried in updates, the developer who needs to query content models without the UI, and the growth engineer building marketing pages at scale.
Content Manager
Updates website copy and handles entry changes on a Tuesday afternoon without logging into the Zesty dashboard.
Developer
Queries content models to test data structures and grab Model ZUIDs directly from their IDE.
Growth Engineer
Automates the creation of landing page items and marketing content entries for large-scale campaigns.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsContentful
Equip your AI agent to fetch, create, and manage digital content effortlessly using Contentful's headless architecture.
Elemeno
Equip your AI agent to manage content collections, track singletons, and monitor items via the Elemeno CMS API.
Amplience
Connect your Amplience CMS to your AI agent. query hubs, pull content, edit schemas, and deploy live items easily via chat.
ContentStack (Management)
Grant your AI agent read-write capabilities using ContentStack CMA. Update, publish, and manage contents, schemas, and environments from chat.
Contentstack
Equip your AI agent to instantly retrieve digital content and schemas using the Contentstack Delivery API.
DatoCMS
Manage headless content via DatoCMS. execute GraphQL queries, handle record CRUD, manage content models, and audit media uploads directly from any AI agent.
Bring your own AI
Change the model, client or framework. Keep Zesty.io connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Zesty.io.
The practical details behind the request, access and result.
Can I use the Zesty.io MCP to update my website content?
Yes, you can use it to update content items directly. Your agent can modify titles, descriptions, and other fields in your headless CMS using natural language.
Does the Zesty.io MCP work with Cursor?
Yes, it works with any MCP-compatible client, including Cursor, Claude, and Windsurf.
How do I connect my Zesty.io account to the Connector?
You just need to provide your Zesty API Token and your Instance ZUID (the one starting with 8-) in the configuration settings.
Can I use this to manage multiple Zesty properties?
Yes, the Connector can list all instances associated with your account, allowing you to manage different properties from the same interface.
Will this help me automate my content creation?
Yes, it lets your agent create content items using your specific model structures. You can describe the content in plain English, and the agent handles the rest.
How do I find my Instance ZUID?
You can list all your accessible instances using the list_zesty_instances capability, 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 capability 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 capability by providing the Model ZUID, the Item ZUID, and a JSON object containing the fields you wish to modify.
One connection away
Give your agent a direct line to Zesty.io.
Connect Zesty.io once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available