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How can I bulk update metadata for outdated pages?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 LangChain 9 tools — connect in under 2 minutes

Name: Sitecore
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Sitecore through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "sitecore": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Sitecore, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Sitecore through native MCP adapters. Connect 9 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 9 tools from Sitecore via MCP

Why Use LangChain with the Sitecore MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Sitecore MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Sitecore queries for multi-turn workflows

Sitecore + LangChain Use Cases

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

RAG with live data: combine Sitecore tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Sitecore, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Sitecore tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Sitecore tool call, measure latency, and optimize your agent's performance

Sitecore MCP Tools for LangChain (9)

These 9 tools become available when you connect Sitecore to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Sitecore + LangChain FAQ

Common questions about integrating Sitecore MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.