How to Use the Craft CMS (Craftnet) MCP in LangChain

Build multi-step reasoning pipelines that manage your Craft CMS licenses and plugin sales directly through LangChain.

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Connect Craft CMS (Craftnet) MCP to LangChain

Create your Vinkius account to connect Craft CMS (Craftnet) to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Craft CMS (Craftnet) with LangChain

Ask AI about this MCP

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Claude

Perplexity

Traceable Plugin Data Chains

This Craft CMS (Craftnet) MCP Server lets your ReAct agents pull store metadata straight into active workflows. You can build a chain that triggers `search_plugins_by_name` based on user input, passing the exact ID down the line. LangSmith records every token spent on these requests. When your node calls `get_plugin_details`, you see the exact JSON payload the agent received before it formats the response.

LangChain MCP Server for Sales

Connect your financial pipelines to real-time store metrics using the `list_sales_history` tool. Your agent decides when to fetch recent transactions and how to map that raw data into your accounting nodes. Passing payout records into downstream summarization chains happens automatically. The `list_payout_history` node feeds directly into your reporting templates without writing custom API wrappers.

Automated License Audits

Managing bulk client sites requires knowing exactly what you bought. Your custom agent can iterate through `list_cms_licenses` and match domains against your active client database. Complex checks become simple sequential operations. If an agency needs to verify third-party add-ons, the agent just runs `list_plugin_licenses` and cross-references the results before generating the final compliance report.

Setup guide

Set up Craft CMS (Craftnet) MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Craft CMS (Craftnet) tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

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

async with MultiServerMCPClient({
    "craft-cms-craftnet-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Craft CMS (Craftnet) transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Craftnet. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Common questions about Craft CMS (Craftnet) MCP in LangChain

Install the langchain-mcp-adapters and langgraph packages. You pass the Vinkius endpoint URL into MultiServerMCPClient and call get_tools() to feed your ReAct agent.

Yes, LangSmith handles the tracing automatically. You see the latency and token cost every time your graph triggers a Craftnet tool.

Your chain can pull recent transactions and developer payouts. The agent decides when to fire those tools based on the logic you define in your graph.

Not at all. The MCP Server maps the REST endpoints directly into callable Python functions your graph understands immediately.

Vinkius isolates your payout and transaction history inside an ephemeral V8 sandbox. The connection dies the second your script finishes running, leaving no persistent access behind.

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