Kontent.ai MCP Server for Windsurf 10 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Kontent.ai through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Kontent.ai and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"kontentai": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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 Kontent.ai MCP Server
Connect your AI agent to Kontent.ai Delivery API to fetch and analyze your modular content.
Windsurf's Cascade agent chains multiple Kontent.ai tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
Key Features
- Content Item Retrieval — Fetch the full modular content of any item by its codename
- Schema Auditing — List and examine content types to understand your project's data model
- Taxonomy Access — Query taxonomy groups and terms for content categorization
- Asset Discovery — Locate images and files stored in your content library
- Smart Search — Perform filtered searches across your entire delivery repository
Simple Setup
1. Subscribe to this server
2. Get your Project ID from Kontent.ai (Project Settings > API keys)
3. (Optional) Enter your Delivery API Key if Secure Access is enabled
4. Start querying your content via natural language
The Kontent.ai MCP Server exposes 10 tools through the Vinkius. Connect it to Windsurf 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 Kontent.ai to Windsurf via MCP
Follow these steps to integrate the Kontent.ai MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Kontent.ai
Open Cascade and ask: "Using Kontent.ai, help me...". 10 tools available
Why Use Windsurf with the Kontent.ai MCP Server
Windsurf provides unique advantages when paired with Kontent.ai through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 10 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Kontent.ai + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Kontent.ai MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Kontent.ai and generate models, types, or handlers based on real API responses
Live debugging: query Kontent.ai tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Kontent.ai and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Kontent.ai data with Cascade's code generation to scaffold entire features in minutes
Kontent.ai MCP Tools for Windsurf (10)
These 10 tools become available when you connect Kontent.ai to Windsurf via MCP:
get_content_item
Get a specific content item by codename
get_content_type
Get details for a content type
get_content_type_element
g., options for a multiple choice element). Get metadata for a specific element in a type
get_taxonomy_group
Get details for a taxonomy group
list_content_assets
ai. Query assets from the content library
list_content_items
Use this to find codenames for specific articles, products, or pages. List all content items from Kontent.ai
list_content_types
List all content types (schemas)
list_project_languages
List supported languages
list_taxonomies
List taxonomy groups
search_kontent_ai
Search for content using query parameters
Example Prompts for Kontent.ai in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Kontent.ai immediately.
"List the last 10 content items in Kontent.ai"
"Show the schema for content type 'article'"
"Search for items related to 'Winter Sale'"
Troubleshooting Kontent.ai MCP Server with Windsurf
Common issues when connecting Kontent.ai to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Kontent.ai + Windsurf FAQ
Common questions about integrating Kontent.ai MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Kontent.ai with your favorite client
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Connect Kontent.ai to Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.