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How to Use the Zoho Creator MCP in LlamaIndex

Build knowledge-augmented AI for Zoho Creator using LlamaIndex.

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LlamaIndex

Connect Zoho Creator MCP to LlamaIndex

Create your Vinkius account to connect Zoho Creator 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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Indexing Zoho Creator Data

LlamaIndex doesn't just return data; it indexes the results into a searchable knowledge base. When you run `get_report_records`, the output becomes part of your vector store. This means later queries can reference that exact report content, keeping answers grounded in live API data. You query past sessions or configuration changes and get answers based on actual Zoho Creator API calls, not just general knowledge.

Mapping App Structure for Search

Need to understand how an app is built? By calling `get_app_metadata` and `list_app_forms`, the output gets indexed. This lets your RAG application search across not just records, but the structural definitions of your entire Zoho Creator environment. It’s a way to query 'Which form was used in App X?' and get an answer from historical API data.

Discovering all Zoho Creator Assets

The MCP Server lets you index the entire scope of your system. Tools like `list_applications` and `list_workspaces` are used to build a comprehensive, indexed map. This allows users to ask questions like 'What was the name of the workspace where App Y lived?' and get an answer from the stored metadata.

Setup guide

Set up Zoho Creator 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 Creator 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 Creator tools.",
)
response = await agent.run("List recent Zoho Creator 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 Creator. 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 Creator MCP in LlamaIndex

It takes raw API output—like records fetched via `get_record_details`—and turns it into searchable knowledge. Instead of just seeing the result, you can query the *meaning* of that result later on.
Yes. By indexing data retrieved from tools like `get_report_records`, the system combines live API results with documents, creating a unified, queryable knowledge base that handles structured and unstructured context.
The index stores the output of tool calls. This includes record details, app metadata, and lists of available forms or reports. The system learns from your API interactions.
It stores the definitions of structured records (e.g., field names and IDs) as well as the content pulled from those records. This helps ground the search in concrete API facts.
You use a BasicMCPClient followed by wrapping the tools into an MCP tool spec. The setup allows for filtering and includes resources, making sure all necessary data from the Zoho Creator server is captured.

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