How to Use the Makeswift MCP in LangChain

Q: Can LangChain automate Makeswift snapshot creation?

Yes. You include createsnapshot in your agent's tool set, allowing it to trigger backups based on the logic you write in your chain.

Q: Does Makeswift provide page lists to LangChain?

The server exposes listpages which returns all your routes. Your agent can iterate through this list to perform batch operations or check for specific content updates.

Chain Makeswift content operations directly into your LangChain agent workflows for automated site management.

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Connect Makeswift MCP to LangChain

Create your Vinkius account to connect Makeswift 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 Makeswift with LangChain

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Automate page updates in LangChain chains

Trigger `create_snapshot` as a direct step within your agentic pipelines. You define the sequence where content state gets captured automatically before any modifications occur. Your agent logic handles the flow, using the output from `list_pages` to inform which routes need validation or backup. It's a clean way to manage site state without manual intervention.

Verify site structure through LangSmith

Trace every interaction with `get_site_details` and `get_page` directly in your observability tools. You see exactly what the agent queried and how the site responded in real-time. This visibility ensures your agent isn't guessing about your Next.js configuration. You get a clear audit trail of every tool call linked to your Makeswift workspace.

Dynamic component inventory management

Query `list_components` to feed your agent a live map of available UI elements. The agent decides which components to use based on the current site definitions. This avoids hardcoding layouts. The agent pulls the latest schema from the server and adapts its generation strategy based on the actual components registered in your project.

Setup guide

Set up Makeswift 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 Makeswift 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({
    "makeswift-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 Makeswift transactions"
    })
    print(result["messages"][-1].content)

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Common questions about Makeswift MCP in LangChain

You install the MCP adapters and point your client to the server URL. Once connected, your agent gains access to the full suite of tools for querying and snapshotting pages.

Yes. You include `create_snapshot` in your agent's tool set, allowing it to trigger backups based on the logic you write in your chain.

The server exposes `list_pages` which returns all your routes. Your agent can iterate through this list to perform batch operations or check for specific content updates.

Absolutely. Since every tool call is logged, you can inspect inputs and outputs for every request made to your site in your tracing environment.

We keep your site configuration and content snapshots isolated. Only the specific endpoint token you provide allows the agent to touch your private page data.

Use it with your favorite AI tools

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