Zoho Campaign MCP Server for LangChain 13 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Zoho Campaign through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
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({
"zoho-campaign": {
"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 Zoho Campaign, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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 Zoho Campaign MCP Server
What you can do
Supercharge your email marketing with AI agents controlling Zoho Campaign. Automate your entire workflow:
LangChain's ecosystem of 500+ components combines seamlessly with Zoho Campaign through native MCP adapters. Connect 13 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.
- Create and manage email campaigns with custom subjects, senders, and mailing lists
- Review campaign analytics including opens, clicks, bounces, and unsubscribes
- Build and segment mailing lists for targeted audience reach
- Import and export contacts with bulk add/remove operations
- Track contact engagement and subscription status across all lists
- Monitor blocked contacts to maintain list hygiene and deliverability
The Zoho Campaign MCP Server exposes 13 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 Zoho Campaign to LangChain via MCP
Follow these steps to integrate the Zoho Campaign 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 13 tools from Zoho Campaign via MCP
Why Use LangChain with the Zoho Campaign MCP Server
LangChain provides unique advantages when paired with Zoho Campaign through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Zoho Campaign 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 Zoho Campaign queries for multi-turn workflows
Zoho Campaign + LangChain Use Cases
Practical scenarios where LangChain combined with the Zoho Campaign MCP Server delivers measurable value.
RAG with live data: combine Zoho Campaign tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Zoho Campaign, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Zoho Campaign tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Zoho Campaign tool call, measure latency, and optimize your agent's performance
Zoho Campaign MCP Tools for LangChain (13)
These 13 tools become available when you connect Zoho Campaign to LangChain via MCP:
add_contacts_to_list
Each contact requires at minimum an email address. Optionally include first name, last name, phone, company, and custom fields. Contacts must be provided as a JSON array of objects. Returns count of successfully added contacts. Add contacts to a Zoho Campaign mailing list
create_campaign
Requires campaign name, subject line, sender name, sender email, and reply-to email. Optionally set campaign type, template ID, and scheduling. Returns created campaign details including the new campaign key. Create a new email campaign in Zoho Campaign
create_list
Requires list name. Optionally set description and welcome message for new subscribers. Returns the created list details including the new list key needed for adding contacts. Create a new mailing list in Zoho Campaign
get_blocked_contacts
Returns email, reason, and date blocked. Use this to maintain list hygiene and avoid sending to invalid addresses. List blocked/bounced contacts in Zoho Campaign
get_campaign_details
Use this to review full campaign configuration before sending or editing. Get details of a specific Zoho Campaign email
get_campaign_report
Includes metrics: total sent, delivered, bounced, opened, clicked, unsubscribed, spam complaints, and forwarded. Also provides engagement breakdown by contact. Use this to analyze campaign ROI and engagement rates. Get analytics report for a Zoho Campaign
get_campaigns
Returns campaign name, subject line, status, sent date, and basic metrics (sent count, opened, clicked). Use this to review campaign portfolio and performance overview. List all email campaigns in Zoho Campaign
get_contact
Use this to review individual subscriber details before sending targeted campaigns or troubleshooting delivery issues. Get details of a specific Zoho Campaign contact
get_list_contacts
Returns contact email, name, subscription status, added date, and custom fields. Use this to review subscriber base, segment audiences, or verify contacts before sending campaigns. List contacts in a Zoho Campaign mailing list
get_lists
Returns list name, description, contact count, creation date, and status. Mailing lists are used to organize contacts for targeted email campaigns. Use this to review available lists before creating campaigns or adding contacts. List all mailing lists in Zoho Campaign
get_recent_campaigns
Useful for quick review of latest activity. Type can filter by: all, sent, draft, scheduled. Returns basic campaign info including name, subject, status, and date. Get recently created or sent campaigns
remove_contacts_from_list
Requires list key and comma-separated email addresses. Use this to manage unsubscribes, clean up lists, or segment contacts. Returns count of successfully removed contacts. Remove contacts from a Zoho Campaign mailing list
update_contact
Only pass the fields you want to modify. The contact is identified by email address. Returns updated contact data. Update an existing Zoho Campaign contact
Example Prompts for Zoho Campaign in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Zoho Campaign immediately.
"Show me all campaigns sent in the last 30 days with their open rates"
"Create a new campaign called 'Spring Sale 2026' for our newsletter list with subject 'Exclusive Spring Discounts Inside'"
"Add these 50 contacts from my CRM export to the 'Prospects Q2' list"
Troubleshooting Zoho Campaign MCP Server with LangChain
Common issues when connecting Zoho Campaign to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersZoho Campaign + LangChain FAQ
Common questions about integrating Zoho Campaign MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
Connect Zoho Campaign with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Zoho Campaign to LangChain
Get your token, paste the configuration, and start using 13 tools in under 2 minutes. No API key management needed.