4,000+ servers built on MCP Fusion
Vinkius
LlamaIndexFramework
LlamaIndex
Why use Umbraco MCP Server with LlamaIndex?

Bring Cms
to LlamaIndex

Create your Vinkius account to connect Umbraco 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.

MCP Inspector GDPR Free for Subscribers
Create Cms DocumentDelete Cms DocumentGet Delivery Content By IdGet Delivery Content By PathGet Management DocumentList Delivery ContentList Document TypesList Media AssetsQuery Delivery ContentUpdate Cms Document
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Umbraco

What is the Umbraco MCP Server?

Connect your Umbraco CMS backend to any AI agent and take full autonomous control bridging the powerful Delivery and Management APIs purely through natural conversation.

What you can do

  • Delivery API Traversing — Instantly list public pages, query by content type, or securely fetch structured fields by their exact domain paths organically
  • Backoffice Document Control — Push new document permutations natively adhering to your configured schemas without opening a single GUI panel
  • Site Mutations — Command the targeted removal of any outdated published nodes or force updates to internal fields seamlessly via update_cms_document
  • Schema & Media Insight — Grab absolute lists tracking your stored binary media files alongside the global Document Types blueprints mapped out natively

How it works

  1. Subscribe manually to this connected MCP server
  2. Inject your active Umbraco Base URL mapping and your Management/Delivery Bearer Auth Token
  3. Engage directly your preferred AI model (Claude or Cursor) asking it to index pages natively

Eliminate messy IDE switching while structuring robust Headless projects. Let the AI prototype content inside Umbraco dynamically utilizing REST interfaces.

Who is this for?

  • CMS Platform Engineers — automate routine headless content extractions requesting schema structures from the LLM avoiding UI switch delays
  • Digital Editors — prompt the agent to bulk-view lists of raw content items skipping complicated table drill-downs natively
  • Frontend Architects — rapidly confirm internal content API stability extracting pure JSON payloads mapping to visual interfaces directly

Built-in capabilities (10)

create_cms_document

Provide the document data as a JSON object adhering to the schema. Creates a new document in the Umbraco CMS

delete_cms_document

This action is irreversible. Permanently deletes a document from the Umbraco CMS

get_delivery_content_by_id

Retrieves a specific content item by its GUID or numeric ID via Delivery API

get_delivery_content_by_path

g., "/home/about"). Retrieves a specific content item by its URL path

get_management_document

Retrieves a specific document via the Umbraco Management API (Drafts/Backoffice)

list_delivery_content

Supports pagination via take and skip. Lists content available via the Umbraco Delivery API

list_document_types

Lists all document types (schemas) defined in Umbraco

list_media_assets

Lists media assets (images, files) from the Umbraco Media library

query_delivery_content

g., "contentType:blogPost"). Filters content items using the Umbraco Delivery API query syntax

update_cms_document

Provide the document ID and JSON updates. Updates fields of an existing document in Umbraco

Why LlamaIndex?

LlamaIndex agents combine Umbraco 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.

  • Data-first architecture: LlamaIndex agents combine Umbraco tool responses with indexed documents for comprehensive, grounded answers

  • Query pipeline framework lets you chain Umbraco tool calls with transformations, filters, and re-rankers in a typed pipeline

  • Multi-source reasoning: agents can query Umbraco, a vector store, and a SQL database in a single turn and synthesize results

  • Observability integrations show exactly what Umbraco tools were called, what data was returned, and how it influenced the final answer

L
See it in action

Umbraco in LlamaIndex

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run Umbraco with Vinkius?

The Umbraco 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.

View full Umbraco details →
Umbraco
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* 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

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect Umbraco using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

Umbraco and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect Umbraco 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.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures Umbraco for LlamaIndex

Every request between LlamaIndex and Umbraco is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can it easily retrieve the content of a page assuming I only know its URL path?

Absolutely. Instruct the agent to 'get_delivery_content_by_path' and supply something like '/home/about'. It traverses the Delivery API native routing map and returns perfectly all inner block grids and content variables attached.

02

How do I ensure the JSON payloads for `create_cms_document` are exactly what Umbraco expects?

Use the agent to first run 'list_document_types'. It pulls down the global schema blueprints. The LLM can explicitly read the allowed field types (like rich text or media pickers) and logically construct the insertion matching it exactly.

03

Does it pull media details dynamically?

Yes. Pinging 'list_media_assets' grants full insight over all stored visuals inside your Umbraco media containers, returning URL addresses alongside fundamental dimension formats so the agent can reference them anywhere.

04

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.

05

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Umbraco tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

06

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

07

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

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