How to Use the HubSpot CMS Hub MCP in LangChain

Q: How do I connect LangChain to HubSpot CMS Hub?

Install langchain-mcp-adapters and use MultiServerMCPClient. Pass your MCP server URL and call client.gettools() to hand the HubSpot functions to your agent.

Q: Can my LangGraph agent read HubSpot blog authors?

Yes. The agent calls hslistblogauthors to retrieve names, emails, and slugs. It then uses that data to attribute content gaps to specific writers.

Build ReAct agents in LangChain that query your HubSpot CMS Hub data and chain the results into custom content audits.

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Connect HubSpot CMS Hub MCP to LangChain

Create your Vinkius account to connect HubSpot CMS Hub 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 HubSpot CMS Hub with LangChain

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Chain HubSpot Data with MCP Server

`hs_list_blog_posts` feeds your LangChain agents the exact publish status and author data for your recent articles. You pipe that output directly into a logic node that evaluates publishing velocity against your content calendar. If the agent spots a gap, it triggers `hs_search_blog_posts` to find older, relevant pieces you can update. LangSmith traces the entire sequence, so you see exactly how many API tokens your HubSpot CMS Hub audit consumed.

Monitor CMS Domains

`hs_list_domains` pulls your DNS resolution status directly into your LangChain monitoring pipeline. Your agent checks if the primary domain flag is active and routes an alert if the CMS configuration drops. This MCP Server keeps the domain logic strictly inside your Python environment. You do not need to build a custom polling script when your ReAct agent can just check the HubSpot state on a schedule.

Analyze Landing Pages

`hs_list_landing_pages` extracts the titles and URLs of your conversion-focused pages for your agent to analyze. The agent grabs the campaign associations and passes them to a downstream analytical tool in your chain. When you need deeper context, the agent uses `hs_get_blog_post` to pull body content length and SEO metadata. The chain compares your HubSpot landing page volume against your blog output without leaving the terminal.

Setup guide

Set up HubSpot CMS Hub 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 HubSpot CMS Hub 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({
    "hubspot-cms-hub-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 HubSpot CMS Hub 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 HubSpot. 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.

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Common questions about HubSpot CMS Hub MCP in LangChain

Install `langchain-mcp-adapters` and use `MultiServerMCPClient`. Pass your MCP server URL and call `client.get_tools()` to hand the HubSpot functions to your agent.

Yes. The agent calls `hs_list_blog_authors` to retrieve names, emails, and slugs. It then uses that data to attribute content gaps to specific writers.

It replaces custom API wrappers with standard tool calling. Your ReAct agent natively understands how to search site pages and check publish states without writing custom HTTP requests.

Yes, every MCP tool invocation logs directly to LangSmith. You track exactly how long a HubSpot search query takes and what arguments the agent passed to the CMS.

The server strictly reads metadata, SEO settings, and body content text from your portal. Vinkius isolates this execution in an ephemeral V8 sandbox, ensuring your proprietary draft articles never persist in our memory.

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