How to Use the Zoho Campaign MCP in LangChain

Q: How do I review my contact base using Zoho Campaign with LangChain?

You can use getlistcontacts to pull a list of emails, names, and subscription statuses from any defined mailing list. This allows your agent to check segmentation criteria before you attempt a targeted send.

Q: What is the best way to schedule my next email campaign using Zoho Campaign with LangChain?

First, run getcampaigns to see existing campaigns and their current status. Then, your agent can use the details from a successful report via createcampaign, ensuring all mandatory fields like sender emails are correct before scheduling.

Q: Can I automate list cleanup using Zoho Campaign with LangChain?

Absolutely. You combine getblockedcontacts and removecontactsfromlist. The agent reads the bounced contacts, collects those emails, and then executes the removal function against the target mailing list.

Q: Where can I find details about a specific contact using Zoho Campaign with LangChain?

The getcontact tool provides full details on any individual subscriber. This is crucial for troubleshooting why one person might not have received an email or if their profile needs updating via updatecontact.

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Connect Zoho Campaign MCP to LangChain

Create your Vinkius account to connect Zoho Campaign 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 Zoho Campaign with LangChain

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Manage Campaigns via the MCP Server

You'll use this to build multi-step reasoning chains. For instance, an agent can first call `get_list_contacts` to segment users based on subscription status, and then pass those results to `create_campaign` only for that specific group. This ability means you don't just run a single function; you create sequences where the output of one tool dictates the next action. It’s perfect for complex pre-send validation or post-campaign follow-up logic.

Analyze Campaign Performance

Want to know why an email flopped? You can chain calls together: first, run `get_campaign_report` to get the raw metrics (bounced, opened, clicked). Next, you pass that failure data into a secondary tool call that might check individual user details using `get_contact`. This lets your agent decide *why* the campaign failed. Instead of just seeing 'low open rate,' it can pinpoint which segment or contact type needs attention.

Maintain and Segment Mailing Lists

It's not enough to just add people; you need cleanup routines. Your agent can first call `get_blocked_contacts` to identify old, invalid emails. Then, it uses the results to feed into a `remove_contacts_from_list` call, keeping your lists clean. This process ensures that when you eventually run `add_contacts_to_list`, the data going into Zoho Campaign is fresh and reliable.

Setup guide

Set up Zoho Campaign 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 Zoho Campaign 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({
    "zoho-campaign-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 Zoho Campaign 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 Zoho Campaign. 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 Zoho Campaign MCP in LangChain

You can use `get_list_contacts` to pull a list of emails, names, and subscription statuses from any defined mailing list. This allows your agent to check segmentation criteria before you attempt a targeted send.

First, run `get_campaigns` to see existing campaigns and their current status. Then, your agent can use the details from a successful report via `create_campaign`, ensuring all mandatory fields like sender emails are correct before scheduling.

Absolutely. You combine `get_blocked_contacts` and `remove_contacts_from_list`. The agent reads the bounced contacts, collects those emails, and then executes the removal function against the target mailing list.

The `get_contact` tool provides full details on any individual subscriber. This is crucial for troubleshooting why one person might not have received an email or if their profile needs updating via `update_contact`.

The server touches contact information (email, name, phone). When setting up your agent, you can define strict tool usage policies. This limits the scope of what actions the chain can take based on the underlying contact records.

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