Can my AI agent create new pages from specific templates?

Yes. Ask the agent to list your content templates to find the ID of the template you want (e.g., 'Article' or 'Landing Page'). Then, provide the parent path where you want the new items to exist. Your agent will call the Sitecore API to instantly generate the new items based on those schemas without requiring you to open the Content Editor.

How can I bulk update metadata for outdated pages?

First, ask your agent to search for the specific path or keyword to get all related page IDs. Then, command the agent to update each item by passing a JSON with the new fields (like updating SEO descriptions or valid dates). The AI parses your instruction and dynamically executes the updates directly into Sitecore.

Is it possible to check whether an item is published or still in Draft mode?

Absolutely. You can request the agent to get the workflow state of any given item path. The agent will respond with the current state (e.g., Draft, Awaiting Approval, or Published), making it easy to track content pipelines.

Sitecore MCP Server for LlamaIndex 9 tools — connect in under 2 minutes

Name: Sitecore
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Sitecore as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Sitecore. "
            "You have 9 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Sitecore?"
    )
    print(response)

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 Sitecore MCP Server

Connect your Sitecore instance to any AI agent and take full control of your enterprise CMS through natural conversation. Execute headless content operations without navigating the complex Sitecore Content Editor.

LlamaIndex agents combine Sitecore tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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.

What you can do

Item Management — Retrieve, create, update, and delete Sitecore items using their path or unique ID
Content Search — Search deeply across your content tree using keywords, templates, and dates
Site navigation — List item children to traverse the content tree hierarchy natively
Templates & Layouts — List available templates and retrieve presentation/layout details (renderings and placeholders) for specific pages
Workflows — Check the current workflow state of any item (e.g., Draft, Review, Published)

The Sitecore MCP Server exposes 9 tools through the Vinkius. Connect it to LlamaIndex 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 Sitecore to LlamaIndex via MCP

Follow these steps to integrate the Sitecore MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 9 tools from Sitecore

Why Use LlamaIndex with the Sitecore MCP Server

LlamaIndex provides unique advantages when paired with Sitecore through the Model Context Protocol.

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

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

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

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

Sitecore + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Sitecore MCP Server delivers measurable value.

Hybrid search: combine Sitecore real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Sitecore to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Sitecore for fresh data

Analytical workflows: chain Sitecore queries with LlamaIndex's data connectors to build multi-source analytical reports

Sitecore MCP Tools for LlamaIndex (9)

These 9 tools become available when you connect Sitecore to LlamaIndex via MCP:

create_content_item

Requires parent ID, item name, and template ID. Creates a new item in the Sitecore content tree

delete_content_item

This action is irreversible. Permanently deletes a Sitecore item

get_item_details

Retrieves details for a specific Sitecore item

get_item_layout

Retrieves the layout or presentation details for an item

get_workflow_state

Retrieves the current workflow state of an item

list_content_templates

g., "Page", "Article") are available for creating new items. Lists available content templates

list_item_children

Lists the immediate children of a specific item

search_content

Useful for broad discovery across the CMS. Searches for content items in Sitecore

update_content_item

Provide a JSON string of field name/value pairs. Updates the fields of an existing Sitecore item

Example Prompts for Sitecore in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Sitecore immediately.

"Can you check the workflow state for the `/sitecore/content/Home/AboutUs` item?"

"List the immediate children under `/sitecore/content/Home/Products`."

"Create a new item named 'SpringCampaign' using template `5F22...` under parent ID `3D66...`."

Troubleshooting Sitecore MCP Server with LlamaIndex

Common issues when connecting Sitecore to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Sitecore + LlamaIndex FAQ

Common questions about integrating Sitecore MCP Server with LlamaIndex.

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 Sitecore tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.