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How to Use the Zoho Campaign MCP in LlamaIndex

Index Zoho Campaign results and query them with LlamaIndex.

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LlamaIndex

Connect Zoho Campaign MCP to LlamaIndex

Create your Vinkius account to connect Zoho Campaign to LlamaIndex 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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Querying Campaigns via the MCP Server

LlamaIndex makes campaign data searchable. Instead of just running `get_campaigns`, you index the returned details (name, subject, status). Later, you can ask a question like 'What was the subject line of the last draft sent to Segment X?' and get an answer grounded in the actual API results. This means your knowledge base isn't just documentation; it holds live campaign metadata that supports semantic search.

Analyzing List Growth

Want to know who signed up and when? You can index the output of `get_list_contacts`. This allows you to query not only 'who is on the list' but also 'show me all contacts added in Q3 with a specific custom field value.' This turns basic contact lists into a rich, searchable historical record that combines API data and your own documents.

Managing Contact Data

When you use `update_contact` or `add_contacts_to_list`, LlamaIndex can index the resulting changes. You'll have a searchable history of who changed their phone number, when they were added, and what fields were modified. This creates an audit trail for contact records that goes far beyond simple database logging.

Setup guide

Set up Zoho Campaign MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all Zoho Campaign MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Zoho Campaign tools.",
)
response = await agent.run("List recent Zoho Campaign data")

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 LlamaIndex

You can index the data returned by `get_campaign_report`. When you need to reference past performance—like 'What was the bounce rate for the Q1 sale?'—LlamaIndex pulls that exact number from your knowledge base.
Yes. By indexing the results of `get_list_contacts`, you can query based on multiple criteria like 'emails who haven't opened in 60 days and have status 'active'. This is much more powerful than simple filtering.
You index the data from `get_blocked_contacts` whenever you run it. You can then ask complex questions like, 'What was the primary reason for blocking contacts in February?' and get a semantic answer based on the stored reasons.
The `get_lists` tool returns name, description, contact count, creation date, and status. Indexing this data means you can query things like 'Show me the list created before 2023 that has fewer than 100 contacts.'
The server touches contact information (email, name, phone). When building your RAG application, you control exactly which fields and records are indexed. This allows you to ground answers only in approved subsets of the raw API data.

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