Bring Modular Content
to LlamaIndex
Create your Vinkius account to connect Kontent.ai to LlamaIndex and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Kontent.ai MCP Server?
Connect your AI agent to Kontent.ai Delivery API to fetch and analyze your modular content.
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
- Subscribe to this server
- Get your Project ID from Kontent.ai (Project Settings > API keys)
- (Optional) Enter your Delivery API Key if Secure Access is enabled
- Start querying your content via natural language
Built-in capabilities (10)
Get a specific content item by codename
Get details for a content type
g., options for a multiple choice element). Get metadata for a specific element in a type
Get details for a taxonomy group
ai. Query assets from the content library
Use this to find codenames for specific articles, products, or pages. List all content items from Kontent.ai
List all content types (schemas)
List supported languages
List taxonomy groups
Search for content using query parameters
Why LlamaIndex?
LlamaIndex agents combine Kontent.ai tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Kontent.ai tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Kontent.ai tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Kontent.ai, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Kontent.ai tools were called, what data was returned, and how it influenced the final answer
Kontent.ai in LlamaIndex
Why run Kontent.ai with Vinkius?
The Kontent.ai connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Kontent.ai using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Kontent.ai and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Kontent.ai to LlamaIndex through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Kontent.ai for LlamaIndex
Every request between LlamaIndex and Kontent.ai is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Where do I find my Project ID?
Log in to Kontent.ai, go to Project Settings > API keys, and copy the Project ID.
What is a codename?
A codename is a unique, URL-friendly identifier for content items, types, or elements (e.g., 'about_us_page').
Is the Delivery API Key mandatory?
Only if you have enabled Secure Access in your project settings. Otherwise, the Project ID is enough.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Kontent.ai tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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